Data Visualization Jobs

I need a hands-on data scientist to turn a set of time-stamped records into a working regression model that can reliably forecast future values. The project’s primary objective is to develop a predictive model—specifically, a regression solution built on time series data. Here is what I will provide: • A cleaned, well-structured dataset (CSV) that includes the historical target variable and supporting features. • A short brief on the business context and the key performance metric I care about. What I expect from you: • Exploratory analysis that highlights trends, seasonality, outliers, and any useful lags or engineered features. • A robust regression model suited to time-series behaviour (ARIMA, Prophet, XGBoost, LSTM, or similar—feel free t...

I need a Windows-based application that talks directly to our Additel digital pressure gauges and Hydratron transducer, captures live pressure-temperature data, and drives the entire hose pressure-test workflow to NATA and current Australian Standards. The program must let a Technician log in, select a hose specification, enter temperature and target pressure, then automatically calculate the correct test duration and pass/fail limits. While the test is running it should stream readings from the instruments, display them in real time, and store everything in a SQL Server database. Once complete the software must produce a pressure-versus-time graph, compile all critical measurements, and generate a tamper-proof test certificate that satisfies NATA formatting requirements. Acceptance crit...

I’ve collected a sizable housing-market dataset and now need a complete prediction pipeline built in Python. The work starts with thorough cleaning, preprocessing, and creative feature engineering so that every useful signal—size, rooms, location ratings, and any other attributes we can derive—is captured. Once the dataset is ready, I want to benchmark several approaches, but the core focus is Random Forest Regression. Feel free to test Linear or Support Vector methods if they might edge out the forest, yet the final report should clearly show how each model performs against the usual metrics (RMSE, MAE, R²). Visual insight is important, so the notebook or script has to generate intuitive plots—scatter trends, residual diagnostics, whatever best tells the sto...

I need help decoding a set of Reddit text files generated from a Dr. Fone/Wondershare dump. The files are in TXT format and contain Reddit data. Requirements: - Decode TXT files - Extract: - User information - Comments - Post content Ideal Skills and Experience: - Experience with text file manipulation - Familiarity with Reddit data structure - Proficient in handling JSON, CSV, and TXT formats Looking for someone detail-oriented and reliable.

I have a set of Excel spreadsheets that cover our entire revenue cycle, from patient registration through final payment. I need those files transformed into a single, beautifully Power BI dashboard that highlights critical metrics in real time: revenue cycle time, claim rejection rates, and payment turnaround time. Design matters as much as accuracy—the layout must instantly communicate high-level performance to executives while still allowing financial analysts and operational managers to drill down into underlying details. Think clean navigation, intuitive slicers, and colour cues that make outliers pop. You will be free to shape the data model in Power Query, build DAX measures, and apply any best-practice visual themes that keep performance snappy. The final deliverable is a ...

I need an AI Research bot that can help with data analysis and report generation. The bot should be capable of analyzing: - Text data - Numerical data - Image data And generating the following types of reports: - Summary reports - Detailed analytical reports - Visual reports with charts and graphs Ideal skills and experience: - Expertise in AI and machine learning - Strong background in data analysis - Proficiency in report generation tools - Experience with various data types, especially text, numerical, and image data Looking for a freelancer who can deliver a robust and efficient AI Research bot within budget.

I need a concise but insightful technical analysis of selected NSE stocks built exclusively around Exponential Moving Averages. Please pull recent price data, plot the relevant EMAs, and interpret the crossovers and trend strength so I can quickly spot potential entries, exits, and trailing-stop levels. Alongside the narrative explanation, include: • Clean, well-labelled charts in a shareable format (PNG or PDF) • A short paragraph for each stock summarising the current EMA signals and likely next moves • A table of recommended time-frames for intraday, swing, and positional views Feel free to complement the EMA work with any supporting statistics you believe add clarity, but keep the focus firmly on EMA behaviour. Accuracy, clarity, and practical trading takeawa...

I have a batch of raw text files that has to be cleaned before we feed it into our analytics pipeline. The material contains many duplicate lines, scattered spelling or transcription mistakes, and a mix of inconsistent spacing, capitalisation, and punctuation. What I need you to hand back is a single, tidy text dataset that meets these acceptance criteria: • Remove every duplicate entry without losing any unique content • Correct obvious textual errors while preserving the intended meaning • Apply uniform formatting so each record follows the same style guide I will supply the source files in UTF-8 plain-text along with a brief format reference. Deliver the cleaned result either as revised .txt files or one consolidated CSV—whichever suits your workflow. Le...

Hi, I am looking for someone who can build me a very nice executive level organizational chart, we are talking about something very nice and professional, easy to understand, I want to be able to have the persons name, and conctact in there "bubble", if you click on it will open a window in outlook so you can email that person. I also want it so it can possibly read from an excel document and autopopulates to the nice presentation document you create. Not sure what you call this, but I just want to be able to edit the excel document, and it automatically will update the main document that I show my employees. We are talking about an organizational chart with a downward flow of about 15 people. This needs to be very nice and professional so I can be able to present it. You are l...

Hi, I am looking for someone who can build me a very nice executive level organizational chart, we are talking about something very nice and professional, easy to understand, I want to be able to have the persons name, and conctact in there "bubble", if you click on it will open a window in outlook so you can email that person. I also want it so it can possibly read from an excel document and autopopulates to the nice presentation document you create. Not sure what you call this, but I just want to be able to edit the excel document, and it automatically will update the main document that I show my employees. We are talking about an organizational chart with a downward flow of about 15 people. This needs to be very nice and professional so I can be able to present it. You are l...

I have a collection of spreadsheets and CSV files containing both text fields and numeric columns. The raw tables need thorough data cleaning and formatting so I can run reliable analytics on them. Your task is strictly data cleaning and formatting—no new data has to be gathered or scraped. The dataset is mixed, with product descriptions, dates, IDs, and several numeric measures. Typical issues you will encounter include inconsistent date styles, extra white-spaces, misplaced decimal separators, and occasional duplicate rows. I will provide the raw files and a short data dictionary. I need you to: • remove duplicates • standardise dates, currency, and percentage formats • trim stray spaces and fix obvious typos without altering meaning • verify numeric co...

I’m looking to turn a collection of well-structured tables—currently sitting in SQL and a few spreadsheets—into reliable, production-ready predictive models. The core of the engagement is predictive modeling and machine learning; everything else (EDA, cleansing, visual stories in Power BI) supports that goal. Here’s what I need: • Take the structured source data, verify its quality, then engineer features that make sense for modeling. • Build, tune, and validate classification and/or regression models in Python (pandas, scikit-learn, XGBoost, or similar). • Surface model insights inside Power BI so business users can explore results interactively. Although the raw inputs are structured, some records link to image files. If incorporating basic...

I need a Google app to track various performance metrics for my office. The app should be able to track: - Consular activities - Investor/Sales engagement - Administration tasks (e.g., Phones and Vehicle log) Key features should include: - A comprehensive dashboard - A form to capture entries

We have built our own operations platform for a cleaning company, including CRM, sales pipeline, booking management, partner management, dispatching, quality control, reporting, and customer automation. The platform is already operational and used daily. We are now looking for an experienced developer to help us build the next layer of the system: management, reporting, forecasting, and business intelligence. We need help designing and developing: Executive / Mission Control dashboard KPI and scorecard system Budget vs actual reporting Revenue, volume, and profitability forecasting Sales management dashboard Board member portal with high-level reporting Action Center showing operational risks, issues, and required actions Margin and profitability reporting Financial overview and cash fl...

I need an intermediate Python developer to build a lightweight simulation project demonstrating a "Physics-Informed AI Agent" defending a smart car's Autonomous Emergency Braking (AEB) system against a cyber attack (False Data Injection Attack causing Ghost Braking). I will only release the payment through two specific contract milestones:- Milestone 1 (50% of budget): Provide the completed Python code (.py or Jupyter Notebook) that runs flawlessly and generates clear comparison graphs using matplotlib. You must send a quick video recording proving it works on your machine.- Milestone 2 (50% of budget): A 45-minute Zoom/Google Meet call to walk me through the code line-by-line, explain the physics math used, and prepare me to answer questions for my college presenta...

I have a Power BI semantic model that used to pull exclusively from Dataverse and the linked paginated report rendered flawlessly. After adding several Azure Databricks columns to the same model, every RDL built on it now opens blank. Dataverse data still flows through; the break happens the moment the report tries to touch anything that originates from Databricks. My priority is simple: display all data correctly—including those new Databricks fields—while keeping the existing Dataverse logic intact. The need is urgent, so I’d like to resolve this ASAP. You’ll probably need to dive into composite-model limitations, DirectQuery vs. Import settings, data source credentials, and how the XMLA endpoint is exposing the model to the paginated layer. Whether it means ref...

a) Setting a concrete Rubric-based evaluation criteria (as is formally done in LLMs' response evaluation) such as: - Accuracy - Instruction following - Reasoning quality - Completeness - Clarity - Safety - Coding correctness - Hallucination risk b) To help optimize prompts, prompt engineering frameworks can be employed such as zero-shot prompting, few-shot prompting, chain-of-thought prompting. c) All errors in the model's responses can be segregated into different error types like Factual error, Reasoning error, Instruction failure, Formatting issue, Hallucination, Safety issue, Code bug, etc so that we can deeply analyse the performance so all the models and figure out their specific weaknesses.

I need a Windows application designed for data analysis and OCR. The app will handle multiple data formats, including: - PDF (both active and inactive) - DOC files - Scanned documents and images - Excel files Key features include: - PDF processing - OCR for scanned documents and images - Excel file analysis Ideal skills and experience: - Proficiency in Windows application development - Experience with OCR technologies - Knowledge of data processing, particularly with PDFs and Excel - Strong background in handling various file formats and data analysis Looking for a developer who can deliver a robust and efficient solution.

I need a web platform that lets me watch over my industrial equipment from anywhere, in real time. The core of the site is device monitoring: each machine will stream telemetry that must appear instantly on a live dashboard, trigger alerts the moment readings drift out of range, and feed a historical log I can filter by date, shift, or machine ID. Key expectations • Real-time data display – charts, gauges, or tables that update without page refreshes. • Alerts & notifications – e-mail, SMS, or in-app pop-ups whenever thresholds are crossed. • Historical tracking – searchable archives with export to CSV or similar. You can pick the stack you’re most productive with (e.g., Node.js + WebSockets, Python + MQTT, or a comparable IoT-friendly c...

I need a robust yet field-ready software tool that concentrates on tracking bird migration paths. Population counts and behavioral notes still matter, but the migration layer is the heartbeat of this project. All primary data should flow in from automated sensors—think GPS tags, acoustic loggers, or weather-resistant IoT nodes—so field teams stay hands-free while gathering information. Once the data reaches the back-end, I want clean, intuitive screens that let us compare this season’s routes against prior years at a glance. Historical data comparison is the critical analytic; trends, shifts, and anomalies must be easy to surface, export, and discuss. If you enjoy building map-centric dashboards with layers that toggle population density or stop-over duration, that&rsquo...

I'm seeking an experienced developer to create a robust business intelligence system that integrates with our existing software stack. The goal is to provide daily visibility of operations and deliver meaningful data for informed decision-making. Integration Requirements: - Must integrate with our CRM, accounting software, and the following systems: - Hubspot - Xero - The Fleet Office - HirePos Essential Dashboards: - Executive Dashboard - Asset Class Dashboard - Capital Allocation Dashboard - Workshop and Service Dashboard - Operations Dashboard - Transport Dashboard - Sales Intelligence Dashboard - Demand Forecasting Ideal Skills and Experience: - Proven experience in developing business intelligence solutions - Strong integration skills with Hubspot, Xero, and other ment...

This project is for producing WebCarrots Agency Grade plan reports + your insights. ------ Allocate 3-5 competitor slots on your current subscription or get a new Agency Grade. Already running WebCarrots? perfect. No? subscription can be done at the bottom of this page: ------- Requirements: 1. Run AI visibility & competitor finder > submit 3-5 top rivals for Data fetch & top SERP. 2. Run AI Competitor Analysis for all 3-5 competitors using the commercial services angle > review the results. 3. Validate the optimized site, run the full Synopsis review all reports > PDF. 4. Run Competitive Analysis for the 3-5 competitors, review the results > PDF. 5. Run Combined Gap Analysis > CSV (format the layout to look like a clean table). 6. Run both Smart Analysis & Me...

ONly Junior and New Freelancer From Pakistan or India at LOW budget. I have ten consecutive years of World Development Indicators GDP figures and I need a clear, reproducible regression study that explains the main drivers of growth during that period. The raw data set is already downloaded; you may choose the format that best suits your workflow once we start (CSV, Excel, SQL—whichever lets you work fastest). I have not locked in a single modelling approach, so please suggest and justify the specification you believe is most appropriate—linear, polynomial, time-series variants, or something else if you can defend the choice statistically. The same flexibility applies to geographic scope: feel free to run the model on the full global panel or recommend a subset if that improve...

I need a security-savvy researcher who can safely navigate TOR-based marketplaces, closed forums, and paste sites to uncover current listings for stolen insurance checks. The goal is a clear, data-driven risk assessment that I can share with carriers as proof of why paper checks are vulnerable and how my digital claims payment platform eliminates that exposure. Focus your investigation on: • How frequently insurance checks appear for sale, typical asking prices, and any trends in volume or geography. • Tactics sellers use to cash or launder the checks and the likelihood of loss for an insurer. • Evidence of personal data packaged with the checks that could escalate the breach impact. • Indicators of imminent spikes in activity (new seller chatter, tooling, or t...

Need a Trade Intelligence Dashboard for various chapters Data source: 200+ Excel files stored in my pc Features: Search exporter Search importer Search product Search HS code Price trend charts importing country Country analysis Buyer-supplier relationship analysis Transaction drill-down Folder refresh for new monthly files

Freelance Full Stack Developer Needed – Scoutin Analytics About the Project Scoutin Analytics is a football intelligence, scouting, and performance analytics platform designed for football clubs, academies, coaches, analysts, sporting directors, and recruitment teams. The goal is to create a centralized platform that combines player data, match analysis, recruitment tools, video analysis, reporting, and performance insights to support smarter football decisions. This is an MVP development project with the potential for a long-term working relationship. ⸻ Core Platform Modules 1. Club Dashboard The dashboard should provide a complete overview of club activities and performance. Features: * Team performance overview * Player statistics summary * Recent matches * Squad availab...

Freelance Full Stack Developer Needed – Scoutin Analytics About the Project Scoutin Analytics is a football intelligence, scouting, and performance analytics platform designed for football clubs, academies, coaches, analysts, sporting directors, and recruitment teams. The goal is to create a centralized platform that combines player data, match analysis, recruitment tools, video analysis, reporting, and performance insights to support smarter football decisions. This is an MVP development project with the potential for a long-term working relationship. ⸻ Core Platform Modules 1. Club Dashboard The dashboard should provide a complete overview of club activities and performance. Features: * Team performance overview * Player statistics summary * Recent matches * Squad availab...

I’m compiling a GIS model of our electrical network for research and analysis, and accuracy is everything. The project is strictly geospatial: I need properly referenced layers that show how power lines, substations, and transformers relate to one another across the study area. Attribute tables must include IDs, capacities or voltage classes where available, and any other fields you feel are essential for solid analytical work later on. Preferred tools are ArcGIS Pro or QGIS; choose whichever lets you deliver clean topology and straightforward metadata. If you work in another platform, export to an open format (GeoPackage or shapefile) so that it drops straight into our existing workflows. Deliverables • Geo-referenced layers for power lines, substations, and transformers &b...

I have a cleaned Netflix user dataset and want to uncover why subscribers leave the platform. The single outcome I care about is understanding — and ultimately reducing — customer churn. To get there, I’d like you to explore three angles of watch-time behaviour (daily totals, week-to-week shifts, and broader seasonal patterns) and relate them to average session duration, content genres, subscription tier, and any other signals you believe are meaningful. What I need from you • A concise exploratory analysis (Python, R or SQL are all fine) that surfaces the strongest behavioural predictors of churn • Clear explanatory visuals of those drivers • An interactive Power BI dashboard that lets me slice by genre, subscription type, date range and churn ...

I have a picture of an existing network layout that I need redrawn cleanly in Microsoft Visio. The final diagram must clearly show the servers and computers, routers and switches, plus the firewalls and other security devices exactly as they appear in the image, keeping their relative positions and connections intact. Please replicate the iconography with standard Visio stencils (or equivalent custom shapes where needed) so the diagram is editable later. I’ll supply the source photo in high resolution; you return a fully editable .vsdx file, logically grouped and neatly labelled. Deliverables: • Editable Visio (.vsdx) file reflecting the picture That’s all I need—accuracy, clarity, and tidy layer organisation so future tweaks are simple.

I need a clear, professional map of Scotland, England and Wales that shows, by postcode area, which of our Area Sales Managers looks after each customer. I already have the postcode-to-manager list; what I’m missing is a visually engaging, on-brand document that can be emailed straight to clients. Every manager must be represented by a different colour, and the finished map has to display the manager’s name, email and phone number alongside a simple legend so customers can find their contact at a glance. Aside from our logo and standard colours, no extra branding is needed. The deliverable I’m looking for is an editable Word document—territories change, so I have to be able to tweak colours or swap contact details myself later. If you can also supply a ready-to-se...

I need an Excel-based template to compare investing in property using cash versus a loan, and also to show the impact of investing part of the amount in shares. The template should include: - Investment Comparison: Cash vs Loan for property investment, with an option to invest part in shares. - Calculations: Interest rates, monthly repayments, total investment value over time. - Additional Features: Graphs and charts for visualization, a detailed summary report, and sensitivity analysis. Ideal Skills and Experience: - Proficiency in Excel, especially in financial modeling. - Experience in investment analysis and real estate. - Ability to create clear, informative visualizations and reports.

I want online, realtime data aggregation and results collation through compelling, interactive dashboards built in both Tableau and Power BI. The goal is to give stakeholders a single view from which they can explore voter turnout, final results, demographic splits and any correlations hidden inside the numbers—essentially the full story of the election, not just isolated charts. You will start from the same Google sheet files for both tools, so consistency between the two platforms is important. The dashboards should let users drill from the national picture down to individual regions or precincts, filter by party or candidate, and slice results by age, gender, income or any other demographic field present in the file. Visual clarity and quick performance are a must; decision-make...

Earlier: Dataverse only → Power BI semantic model → Paginated report This worked because all required columns were coming from one supported model/source. Now: Dataverse + Azure Databricks columns → same Power BI semantic model → Paginated report Paginated report is failing/blank because the semantic model now has a mixed source model, and the Databricks master columns may not be resolving properly through the semantic model when paginated report queries it. Most likely causes: The Databricks columns are not imported/refreshed properly in the semantic model Power BI visual may show them due to local/desktop cache or DirectQuery behavior. Paginated report reads the published semantic model, not your desktop file. Relationship issue between Dataverse table and Databricks ...

I am facing an issue with a Power BI Paginated Report. The report appears correctly during development, but when exported, all pages are blank. Could anyone with expertise in Paginated Reports assist in troubleshooting and resolving this problem?

I need a simple Streamlit dashboard built in Python that loads data from a numpy .npz file and displays investment analysis charts. The dashboard should run locally with streamlit run app.py. What I need: 5 pages using Streamlit multi-page routing. Each page shows metrics and 2-3 Plotly charts for a different asset. The charts are: IRR probability distribution (histogram/KDE), DSCR by year (bar chart), and a scenario comparison (horizontal bar chart). One sidebar with a scenario dropdown that updates the charts. Tech stack: Python, Streamlit, Plotly, numpy. No database, no authentication, no deployment needed. Desktop only. Data: I will provide a .npz file with pre-computed numpy arrays (IRR distributions, DSCR arrays, scenario values). I will give you the exact key names and shapes. You j...

Finance Documentary Video Editor Needed (Long-Term Opportunity) We are looking for a skilled video editor to create 10–15 minute finance documentary videos. Topics will include business case studies, economic crises, governance failures, and major financial stories. We will provide the complete script for every video. The editor's role will be to transform the script into an engaging finance documentary using stock footage, motion graphics, charts, sound design, and cinematic editing techniques. The editing style should be dramatic, cinematic, and storytelling-driven, keeping viewers engaged throughout the video. Requirements: Strong video editing skills Basic motion graphics abilities (animated text, charts, graphs, data visualizations, etc.) Ability to source and use r...

My workload has grown beyond what I can comfortably handle, so I need a reliable hand with my Excel spreadsheets. The files arrive with raw information that must be entered accurately, checked for consistency, and turned into concise insights I can share with my team. What I expect from you: • Data entry ‒ transfer information from source documents into the appropriate sheets without errors, making sure naming conventions and cell formats stay intact. • Data analysis ‒ create basic summaries, pivot tables, or simple charts that highlight trends and totals so I can make quick decisions. Everything will be done in Microsoft Excel (any recent version is fine). If you have shortcuts, formulas, or time-saving tips that streamline the job, great—feel free to use them as long ...

We're building Molcura, an AI-powered drug discovery suite — a working application in Python using Gradio. The science backend works; the interface has grown cluttered, and we're taking the full suite to a clean, professional, commercial-grade standard for research labs and universities. The design is already defined — we have mockups, a design-token system, and a working layout scaffold to hand over. This is primarily an implementation and refinement engagement, not a blank-page project. Scope: - Build a reusable shell (sidebar nav, theming, shared components) once, reused across modules - Implement the full suite of modules (structure prediction, ligand prep, docking, simulations, QSAR, database, and more), wired to our existing Python prediction/docking logic - A...

I need a clean, high-resolution static map that clearly pinpoints three categories of points of interest within the same geographic area: Restaurants and Cafes, Schools and Universities, and Hospitals and Clinics. The final file must be delivered in JPEG or PNG so I can drop it straight into a report and presentations without additional conversion work. Here is what I’m expecting: • A professionally styled map produced in GIS software such as QGIS or ArcGIS, complete with an easy-to-read legend and distinct symbology for each POI category. • All layers properly projected (WGS 84 is fine unless another system is more suitable for the source data). • Final export in two resolutions: one optimized for on-screen viewing and a printable 300 dpi version. • A brie...

ONly Junior and New Freelancer From Pakistan or India at LOW budget. I have ten consecutive years of World Development Indicators GDP figures and I need a clear, reproducible regression study that explains the main drivers of growth during that period. The raw data set is already downloaded; you may choose the format that best suits your workflow once we start (CSV, Excel, SQL—whichever lets you work fastest). I have not locked in a single modelling approach, so please suggest and justify the specification you believe is most appropriate—linear, polynomial, time-series variants, or something else if you can defend the choice statistically. The same flexibility applies to geographic scope: feel free to run the model on the full global panel or recommend a subset if that improve...

I need a concise series of local-scale geographic maps from up to date aerial imagery, that is, from NearMaps or similar up to date mapping platform. 3 maps. Each map must display: • Clearly labelled street names • Key points of interest (POIs) and residential areas • Current land-use zoning boundaries • Relevant environmental layers such as green belts or protected wetlands and receptors (as advised) Accuracy, legibility, and a consistent visual style are non-negotiable. I’d like the work delivered as print-ready PDFs in MGA zone 50, A3, scale 1:1500. Please tell me which tools you prefer—ArcGIS, QGIS, Adobe Illustrator with MAPublisher, or another platform—and how soon you can have the first draft ready.

I keep all live sales transactions in a SQL Server database and receive additional monthly CSV extracts for legacy channels. I need the whole dataset blended, modelled, and surfaced in Power BI as a single, lightning-fast dashboard my exec team can open and immediately understand. Scope of work • Connect directly to the SQL database and configure an automated import for the monthly CSVs. • Build an efficient star-schema model in Power Query and DAX so refreshes remain snappy. • Create intuitive Bar Charts, Line Graphs, and Pie Charts that highlight the three critical metrics we track: Total Sales, Sales by Region, and Top Products. • Publish the report to the Power BI Service and set up a reliable weekly scheduled refresh (no manual steps). • Optimise vi...

I have a set of raw financial data that I need cleaned, explored, and transformed into clear trend insights. The job is squarely in the Data Analysis space, and Python is the language I want everything built in. Here is what I’m after: • Import and tidy the financial data (CSV and/or Excel). • Run a thorough Trend Analysis—identify seasonality, growth or decline patterns, and any statistically significant shifts over time. • Produce easy-to-read visualizations (Matplotlib, Seaborn or Plotly are all fine) and a concise narrative summary of your findings. I’ll consider the work complete when I receive: 1. Well-commented Python scripts or Jupyter Notebook that reproduces the analysis end-to-end. 2. The generated charts in PNG or embedded in the...

I need two rigorously researched, journal-ready articles that examine the intersection of cutting-edge defence technology and contemporary international relations. Each piece must read at a formal, scholarly level suitable for an audience of fellow PhD holders—assume they are already familiar with the core theories and terminology, so focus on original insight, critical analysis, and evidence-backed arguments rather than introductory explanation. Scope • Topic focus: Emerging Technologies in defence and impact on security, and stability and how these technologies are changing the current warfare ( this is the broader theme for the paper) this is not a research title you have to make 2 research titles after go through literature review and finding robust research gap ( researc...

I’m looking for an experienced SPSS specialist who can take my raw dataset from import all the way through to clear, well-explained findings. The exact tests are still open—descriptive summaries, inferential comparisons, or full regression modelling may all come into play—so I value someone comfortable across the board and able to advise on the best approach once you’ve seen the variables and research aims. Here’s what I’ll need from you: • A brief plan outlining the recommended analyses after you review the data and objectives • Cleaned, coded data file (sav) with any transformations fully documented • Syntax file so every step is reproducible • SPSS output file plus a concise interpretation of the results in plain language (t...

I'm seeking an expert in surface water modeling specifically to model an urban drainage site and calculate peak flow of a specified duration and intensity Key Requirements: -Expert in urban hydrology Ideal Skills and Experience: - Expertise in hydrology and surface water modeling - Proficiency with relevant software (e.g., HEC-RAS, SWMM) - Experience in urban drainage and storm water management strategies - Strong analytical and problem-solving skills Please include examples of similar projects and your approach.

I need a crisp, visually engaging pitch deck finished today for our pre-seed raise. The deck’s main purpose is to inform potential partners about the opportunity, so clarity and storytelling matter just as much as design polish. You’ll be working with an existing, detailed market analysis—no fresh research required—so the focus is on translating that data into a concise narrative that highlights our problem-solution fit, traction to date, revenue model, and the size of the opportunity. The finished file should be presentation-ready in PowerPoint or Google Slides, with all fonts and graphics embedded. Deliverables required by end of day (my time): • 10–12 slide deck, fully designed and editable • Integrated summary of my completed market analysis ...

I have a query listing 80 project IDs and the respective time variance vs the previous month. what I need now is the visualization in Power BI that shows in the Y axes the count of of projects that have a variance of 1 month, 2 months etc. I need to insert an slicer to filter the data by division. The variance buckets must stay in monthly intervals; no custom or quarterly groupings are required. Deliverables I expect: • A PBIX file containing the configured bar chart and division slicer • Any DAX measures or transformations you use, clearly labeled • Brief notes (markdown or Word) on where to paste the existing query and how to refresh the model I will consider the job complete when the visual correctly shows project how many projects had a variance of one, ...

I need an experienced Notion builder to create a streamlined personal-organization hub focused on two things: keeping my tasks under control and tracking the goals that matter most to me. The core database should open in List view—this is how I naturally process information—yet still be structured well enough that I can later switch to Kanban or Calendar if I ever change my mind. Here’s what the workspace must cover: • A task-tracking system with statuses, priorities, due dates, and a clean List view as the default. • A goal-setting area that links seamlessly to the tasks so every action clearly rolls up to a bigger objective. Once the build is complete, I’ll also need a quick loom or written walkthrough so I can tweak properties and filters on my ...