Data Science Jobs

I’m ready to turn a fresh idea into a working MVP and need an AI specialist who can own the end-to-end predictive analytics layer. The single most important outcome is a model that takes my existing data, produces reliable forecasts, and is simple enough to slot straight into a lightweight product demo. Here’s the scope in plain words: • Select and train an algorithm that balances accuracy with speed—feel free to use Python, TensorFlow, PyTorch, or another framework you prefer, so long as the environment is reproducible. • Wrap the model in a small REST or GraphQL API so I can call predictions from a basic front-end. • Hand over deployment instructions for a cloud environment (AWS, GCP, or Azure—your choice) so the MVP runs in a real setting, n...

I'm looking for a skilled machine learning expert to help with my final year university project. The goal is to identify different sleep stages using multimodal data, specifically ECG patterns and blood pressure signals. Key Requirements: - Analyze ECG and blood pressure data - Develop a machine learning model to estimate sleep stages - Utilize existing dataset Ideal Skills and Experience: - Strong background in machine learning - Experience with ECG and blood pressure signal analysis - Proficiency in data processing and model development - Familiarity with sleep stage identification techniques

⚠️ ⚠️ ⚠️ Important – Read Before Submitting a Proposal ⚠️ ⚠️ ⚠️ We are currently receiving a high volume of placeholder bids, generic responses, and automated proposals. These will not be considered. Your bid is carefully reviewed and tailored to this specific brief, this project will be on a FIXED price Your proposal includes concrete ideas, relevant experience, and/or examples directly related to this project You are providing a realistic timeline and budget, not a placeholder offer You are personally involved in the work and not submitting on behalf of an unknown third party without disclosure HUB, Inventory Management and B2b for a fashion clothing brand The purpose of this initiative is to design and build a centralized operational system for our private-label clothing b...

I have a research paper in development and want to elevate it to publication-ready quality. I’ll provide you with the current manuscript, my notes, and any supporting data; what I need back is a version that reads clearly, is backed by up-to-date sources, and meets the formatting and citation standards of high-impact journals.

I have seven ready-to-use datasets that must each be fitted to two candidate distributions: Gamma and LogNormal. Using R, please run the fits, calculate the full set of goodness-of-fit statistics (AIC, BIC, KS, AD, CvM) and produce four kinds of diagnostic graphics for every dataset / distribution pair: • PDF overlay on the empirical density • CDF overlay on the empirical CDF • P-P plot • Q-Q plot The plots should be delivered as high-resolution PDF files and must carry clear axis labels, legends, and concise annotations so that the reader can see which distribution is which and how well it performs. All file names should be systematic and self-explanatory. What I expect to receive 1. A clean, well-commented R script that reproduces the entire workflow on ...

I need to optimize the website SEO and also google ads. I want to hire professionals only

I'm looking for an AI-driven building automation energy analyzer tailored for commercial buildings. The system should have the capability to upload comprehensive building databases and trend files in CSV, Excel, JSON, or Zip formats. Key Requirements: - Analyze overall energy consumption and efficiency ratings - Provide insights on kW consumption versus energy savings - Identify faulty equipment and potential energy savings Ideal Skills and Experience: - Expertise in AI and machine learning - Strong background in energy analysis and building automation systems - Proficiency in handling and analyzing data in CSV, Excel, and JSON formats - Experience with commercial building energy metrics BAS System examples - WebCtrl -Honeywell Niagara -Tridium -Seimens -Alerton Once the database...

Hello! I already have a working Python-based trading bot and I’d like an experienced developer to take it to the next level. The bot is fully functional and production ready, I don’t want to change the core structure because it is made for upstox algo. Now I just need help in swapping since I'm getting difficulties in expertise to swap strategy. I'll share the more details and bot over chat. Thanks!

I need a working proof-of-concept that hardens my wireless network by analysing live traffic and flagging hostile activity the moment it appears. The model must reliably catch the attacks that worry me most: Denial of Service (DoS), Man-in-the-Middle (MitM) intrusions, classic packet sniffing, and ARP spoofing. Everything has to run in real time on a modest on-prem machine, so efficient feature extraction and lightweight inference are a priority. The task breaks down naturally into three parts. First, capture and label representative WLAN traffic—public datasets are fine as a starting point, but I also want a small tool that lets me pipe raw pcap streams into the training set so the system can learn my network's quirks. Second, build and train the detection engine: a well-comme...

I am looking for a tutor who can help me understand, in a comprehensive and step-by-step manner, how to deploy a production-ready dashboard that displays the results of a model. My current stack includes: Google Cloud Platform (GCP) Vertex AI Workbench (where I trained the model) Streamlit (for the dashboard) Git and GitHub (for version control) I already have: A trained model in Workbench The .py files developed A structured and synchronized GitHub repository The intention to deploy everything in GCP However, I am not only looking for help with deployment — I want to fully understand the technical process behind it, including: How to properly structure the project for production. How to connect the trained model to the dashboard. The best architecture choice in GCP for...

I need a working, proof-of-concept framework that ingests live and historic network traffic logs, learns from them in near-real time, and flags malicious patterns before they escalate. The core must combine traditional threat-intel techniques with machine-learning pipelines so the system continuously adapts as new data arrives. Here’s what success looks like to me: • A modular data-collection layer that can stream pcap, NetFlow, or similar log formats into a preprocessing engine. • Feature-engineering and model-training code written in Python (feel free to leverage Pandas, scikit-learn, TensorFlow, PyTorch—whatever best suits the task). • A detection component that scores incoming traffic and raises alerts via a simple REST API or CLI output. • Cl...

I have several large RNA-seq datasets from TCGA covering multiple cancer types, and I need a focused survival analysis that links gene-level and gene-set activity to overall and progression-free survival. All raw counts, FPKM tables and the matched clinical files are already in place; what I require is the analytical workflow and an interpretable report. Here is the workflow I would like you to follow: • Pre-process and normalise the RNA-seq count data, matching each sample unambiguously to its clinical record. • Build Kaplan-Meier curves and multivariable Cox proportional-hazards models to identify genes whose expression significantly associates with survival outcomes, adjusting for key covariates (age, stage, subtype, etc.). • Run GSEA (Gene Set Enrichment Analysis) ...

I need an expert to develop predictive models using AI on airway assessment parameters for my research thesis. The project needs to be completed within a month. Key Requirements: - Expertise in AI and machine learning - Experience with predictive modeling - Familiarity with healthcare data, especially airway assessment parameters - Strong analytical skills Ideal Skills and Experience: - Background in data science or related field - Proficiency in programming languages such as Python or R - Experience with AI tools and frameworks - Ability to interpret and visualize complex data Please provide a portfolio with relevant experience.

I am developing a master’s-level research design that compares Retrieval-Augmented Generation (RAG) systems from an information retrieval and evaluation perspective. I am looking for someone that can help we out with helping and brainstorming the thesis design What I am looking for: - Refining research questions and comparison criteria for RAG systems - Structuring the theoretical and technical framework - Identifying and organizing key literature in RAG, IR, and LLM evaluation - Designing an evaluation approach (retrieval metrics, generation quality, cost/latency, robustness, etc.) Project context Domain: RAG / search systems / LLM pipelines Approach: system comparison + online comparison with systems Tooling: Python-based pipeline, API-driven LLM setup Required backgr...

I am seeking an ML engineer/researcher to prepare a Q1-level scientific manuscript (Scopus + Web of Science) in the domain of eHealth / Clinical Decision Support Systems (CDSS) using ML/DL on MIMIC-IV (PhysioNet) data. Outcome: manuscript “ready for submission” + a complete technical report detailing all stages + reproducible code/notebooks. Journals (client candidates) Candidates (you may propose the best option or an alternative with justification of fit): 1)MDPI AI (ESCI WoS + Scopus) 2)Journal of Information and Telecommunication (ESCI WoS + Scopus) 3) Array (Elsevier) 4) IEEE Access 5) Big Data Mining and Analytics (IEEE) Task for the contractor: choose 1 target journal and tailor the problem formulation/structure/length/format strictly to the “Guide for Authors,&rd...

I’m launching a focused pollution-control study on local waterways and need a researcher who can turn scattered information into a clear, evidence-based picture of what is really happening beneath the surface. The core of the job is data: finding it, validating it, analysing it and turning it into insights decision-makers can act on. You will help me locate and compile raw water-quality figures—field samples, public monitoring stations, satellite or drone readings, academic papers, anything reputable—then clean and merge those datasets in a way that lets us spot patterns of contamination over time. Solid skills in Excel, Python or R for data wrangling, plus basic GIS mapping to visualise hotspots, will be essential. Once the numbers are in shape, I’ll rely on you ...

I need a researcher who can build a production-ready model that listens to a baby’s cry, watches the paired video, and decides—reliably—whether the cause is hunger, discomfort, or simple attention seeking. Audio and video must be fused inside one architecture; running them in parallel but independently will not satisfy our accuracy goals. You may use the deep-learning stack you trust most (PyTorch, TensorFlow, Keras, OpenCV, torchaudio, etc.) provided the final network can run in real time on an edge device and be exported to ONNX or TFLite. I will share product constraints and a small proprietary data set; you will expand it through public sources or augmentation, perform rigorous cross-validation, and refine the model until we consistently exceed 90 % precision and rec...

I am writing to inquire whether you would be available to provide statistical support for a prospective research project I am currently conducting. The study is complete in terms of data collection and laboratory analysis, and I am now seeking guidance on the most appropriate statistical analyses and interpretation. Project title: Reference intervals for FIBTEM measurements using the ROTEM® gamma device in healthy dogs compared to fibrinogen concentration measured by the Clauss assay. Study objectives: 1. To establish reference intervals for FIBTEM parameters obtained using the ROTEM® gamma device in healthy dogs. 2. To assess the clinical acceptability of these reference intervals compared to fibrinogen concentration measured by the Clauss assay. Dataset overview: The dataset i...

I have a bilingual data set of 1,000 sentences that is already translated. What I need now is a clear, defensible linguistic-quality benchmark for those translations. Here’s the core of the job: • Run a linguistic quality evaluation, expressing the results through ROUGE score. • Supply a concise report (tables + brief narrative) that explains what the score means for overall quality and highlights any outliers that deserve human review. • Share the clean, reproducible code you use—Python notebooks or scripts are fine so long as they run end-to-end on my side without extra setup beyond standard packages (e.g., SacreROUGE, NLTK, or Hugging Face tools). I will provide: – The 1,000 source sentences – Their current translations (reference) ...

Backtest requirements attached

I have a collection of X-ray studies and I need a robust deep-learning model that can look at each image and instantly tell me which predefined category it belongs to (e.g., chest PA vs. chest lateral, cervical spine, hand, etc.). The job is strictly about classifying the type of X-ray, not diagnosing any pathology. Here is what I already have and what I expect from you: • A curated folder structure with several thousand labelled PNG and DICOM files that you can download from my secure server. • A preference for Python with either PyTorch or TensorFlow/Keras—use whichever framework you feel will achieve the best accuracy and fastest inference on a modern GPU. • Clean, reproducible code (Jupyter notebook or script) plus a short README that explains environment se...

Freelancer Job Post – Algorithmic Trading Developer (SGTF, IBKR, Cloud‑Hosted) Project: Looking for an experienced algorithmic trading developer to build a fully autonomous system using the Smoothed Gaussian Trend Filter (SGTF) indicator. Key Requirements: • Long/short trading based on SGTF trend and signal logic • Trade multiple stocks simultaneously across multiple timeframes • Independent signal states and position management per symbol • Connect to Interactive Brokers (IBKR) via API or Gateway • Robust execution logic, risk controls, logging, and reconnection handling Architecture: • Custom UI / standalone application with: • Real‑time dashboard (signals, positions, PnL) • Controls for universe, timeframes, and risk parameters &bull...

I need a propensity-modelling software package that plugs directly into our CRM system, website analytics, and sales database, unifying those streams into a clean, continuously updated dataset. On top of that data layer, the build must train, evaluate, and deploy the best-performing predictive models—whether regression, decision-tree, neural-network, or any other technique that proves superior—then surface the results through a lightweight web interface and an API our teams can call in real time. Key deliverables • Automated ETL jobs and data-quality checks for the three sources mentioned above • Modular training pipeline with experiment tracking, lift/ROC reporting, and feature-importance visuals • Scoring service exposed via REST (or GraphQL) endpoints plu...

import pandas as pd EXCEL_FILE = "" # ----------------------------- # Create Excel Template # ----------------------------- def create_excel_template(): data = { "Service_ID": [], "Sub_Function": [], "DID": [], "Description": [], "Data": [] } df = (data) df.to_excel(EXCEL_FILE, index=False) print(f"Excel template created: {EXCEL_FILE}") # ----------------------------- # Read and Parse Excel # ----------------------------- def parse_excel(): df = pd.read_excel(EXCEL_FILE) # Remove completely empty rows df = (how="all") # Replace NaN with None df = ((df), None) structured_data = [] for _, row in (): service_d...

I need to design the workflow for an LLM orchestrator, integrating with various systems. It should call the customer master DB and policy admin to identify existing clients or handle new quotes. For new cases, I'll clearly differentiate based on line of business (P&C personal auto, commercial, travel, life Insurance) . I'll focus on setting up the necessary infrastructure, models, vector DB, middleware, and PoC milestones. Citations will be needed . I’ll ensure everything fits within the architecture, including tool-calling patterns and structured forms. Here’s a concrete, LOB aware architecture you can actually brief to a dev partner or internal team. I want to embed an end-to-end AI layer into my insurance website that can greet visitors, guide them through quo...

I am seeking an experienced academic researcher to deliver a complete, journal-ready research paper on Explainable AI (XAI) for predicting and interpreting student academic performance. The study must use multiple academic data sources (exams & quizzes, assignments & projects, and class participation records), which I will provide in CSV format. Scope of work: • Clean, preprocess, and align datasets using student IDs and time frames • Perform relevant feature engineering • Build at least one strong predictive model (with optional comparisons) • Apply explainability techniques such as SHAP, LIME, decision trees, or equivalent, with clear justification • Evaluate predictive performance and interpretability • Produce publication-quality visualizat...

I’m preparing a research paper that demonstrates how explainable AI can predict and interpret student academic grades using a mix of exams and quizzes, assignments and projects, plus class participation records. I already have raw datasets in CSV form; what I need is the complete experimental pipeline and a well-structured manuscript ready for journal submission. Here’s what I’m expecting: • Clean and engineer the three data sources so they align on student IDs and time frames. • Build at least one solid predictive model—feel free to compare alternatives—but tie every result back to a clearly articulated explainability layer (e.g., decision trees, SHAP, LIME or any other method you justify). • Evaluate accuracy and, just as important, hig...

AI & Full-Stack Tech Client Acquisition Partner Needed (Commission-Based) I am an experienced Full-Stack AI & Software Engineer with strong hands-on expertise in building production-ready systems, including: AI / LLM Development (OpenAI, Gemini, LangChain, RAG, AI Agents) Machine Learning & Data Science (Python, Pandas, NumPy, Scikit-learn) Backend Development (Python, Node.js, REST APIs) MERN Stack (MongoDB, Express, React, Node.js) DevOps & Deployment (Docker, CI/CD, Cloud hosting) Automation & AI Chatbots (WhatsApp, Web, CRM integrations) I deliver scalable, high-quality solutions with clear communication and on-time execution. Role: Client Acquisition Partner I’m looking for a motivated, reliable partner who can bring genuine AI / software development proj...

I'm seeking an experienced AI developer to create a computer vision model focused on detecting people. The model will need to function effectively in both indoor and outdoor environments. Key Requirements: - Primary function: Object detection with a focus on people - Adaptable to both indoor and outdoor settings - High accuracy and reliability Ideal Skills and Experience: - Expertise in AI and machine learning - Strong background in computer vision, particularly in object detection - Experience with datasets and training models for varied environments - Proficiency in programming languages such as Python, and familiarity with libraries like TensorFlow or PyTorch Please provide examples of similar projects you've completed.

I need a data-savvy investigator to help me confirm whether social-media content is being deliberately down-ranked or hidden. My sole aim is to identify suppressed algorithms, with a particular emphasis on content-visibility suppression on major social platforms. You will design and execute an evidence-based study: gather relevant data points (public APIs, scraped feeds, or previously archived datasets), apply statistical or machine-learning techniques to spot anomalous reach patterns, and document any rules, thresholds, or signals that appear to mute posts. I am open to your preferred toolkit—Python, R, SQL, or specialty OSINT platforms—as long as the workflow is reproducible. What matters most is a clear, defensible methodology, transparent code, and a concise explanati...

I’m looking for a data scientist based anywhere in Latin America to help me create reliable predictive models for a finance-focused project. You’ll start with large historical datasets stored in SQL and deliver models that accurately forecast key financial indicators. I work mainly with Python, so you’ll find Pandas, NumPy, Scikit-learn and, when deep learning is justified, TensorFlow already in place. If you prefer R for certain tasks, that’s perfectly fine as long as the final workflow remains reproducible. The end-user needs to consume insights through Power BI, so once the model is validated I’ll ask you to craft intuitive dashboards that highlight drivers, confidence ranges and any red-flag anomalies the model detects. Solid statistical grounding is esse...

We want to do this in a consulting / facilitators / builders format in which we work with the facilitator / consultant / trainer for 3-6 hours a week for 3-6 months in order to help us collaboratively create various agents for our private equity business. The only billed time will be the time spent on the video call with our team, unless specifically approved otherwise. we want to be able to create a screen scrape tool to average certain cost items of specific real estate proejcts We also want to compare legal documents vs term sheets and excel spreadsheets Data sources • Company databases (SQL, flat files, Excel exports) - Dropbox all our files are in drop box • Extensive web scraping for competitor benchmarks and investment-market signals If you have ideas for safely add...

We have a platform that requires user to do a face capture, means user will take a live picture of themselves The goal is to ensure that only real users use our system. Let me know if you have done anything like this or capable

I'm looking for an expert in multi-fidelity Bayesian optimization to optimize material science processes, potentially focusing on reaction optimization. Key requirements include: - Optimize processes using numerical and categorical data - Experience in material science and Bayesian optimization - Strong analytical skills to interpret complex datasets Ideal skills and experience: - Proven track record in multi-fidelity Bayesian optimization - Background in material science, particularly in reaction optimization - Proficiency in handling both numerical and categorical data

I want a production-ready Python algorithm that can scan the Nifty 50 throughout the session, weigh profit opportunities against downside risk, and fire off intraday orders several times a day when the reward-to-risk profile is attractive. Core logic • Fuse three data streams in real time: historical price series, live technical-indicator feeds that you compute on the fly, and sentiment or headline signals drawn from the latest market news. • Use that blended input to generate probabilistic forecasts, then translate those forecasts into position sizing that keeps risk in check while still pursuing upside. • The system must be able to trigger, modify, and exit trades automatically during market hours—no end-of-day batching. I code in Python myself, so please kee...

Our mission is to develop a cutting-edge AI Assistant designed specifically for educational institutions, focusing on enriching the learning experience for students and supporting educators in the fields of history and geography. This AI Assistant will serve as an interactive tool to answer questions, provide insights, and facilitate a deeper understanding of historical events and geographical data. Key features we aim to include: - Accurate and instant responses to student and educator inquiries. - Integration of historical databases and geographical information systems for comprehensive analysis. - User-friendly interface for ease of use in classroom settings. - Customizable learning modules tailored to curriculum requirements. We are seeking a talented team with the following skills a...

I’m putting together a series of college-level workshops and need an expert who can both design and deliver engaging, lab-style sessions on AI, NLP, and machine learning. The audience will be under-grad and post-grad students who already code in Python but have limited exposure to real-world AI pipelines. Scope The program should span three core tracks—an approachable “Introduction to AI & ML,” a set of “Hands-on NLP Projects” that let students build something tangible, and a closing block on “Advanced Machine Learning Techniques” that shows them what’s possible beyond the basics. Because the colleges have explicitly asked for hands-on labs rather than slide-only lectures, your material needs to revolve around live coding, intera...

I need a robust workflow that taps directly into the Sentinel satellite constellation to track current-day forest loss across tropical regions. The end goal is near-real-time monitoring: a clear indication, week by week, of where fresh clearing is happening so I can flag hotspots and act quickly. Scope of work • Acquire and pre-process the latest Sentinel imagery for my specified AOIs in the tropics (cloud masking, atmospheric correction, seamless mosaicking). • Run an automated change-detection routine that distinguishes new clear-cuts from seasonal or spectral noise. • Output intuitive products—shapefiles, GeoTIFFs, and a simple dashboard or web map—that visualise forest-loss polygons with dates, area statistics, and confidence scores. Acceptance cr...

Please Sign Up or Login to see details.

I need an expert to develop embedded algorithms for our OWLY predictive maintenance platform. The platform uses fused vibration and acoustic sensing to detect early equipment faults in home appliances, specifically washing machines, dryers, and refrigerators. Key Requirements: - Convert sensor data into actionable equipment health diagnostics. - Focus on early fault detection for motors, bearings, and gearboxes. Ideal Skills and Experience: - Strong background in embedded systems and algorithm development. - Expertise in signal processing and sensor data analysis. - Experience with home appliance maintenance or diagnostics. - Familiarity with machine learning techniques is a plus.

I’m refining an AI-powered electronic medical record and need a seasoned pharmaceutical professional to keep the clinical logic on solid ground. Your core mandate is drug-interaction and safety guidance, with particular attention to contraindications, accurate dosage ranges, medicine names and clear-cut usage instructions. The system already recognises lab values and diagnoses; what’s missing is a clinically reliable medication layer. I want your expertise to help us: • Map contraindications that the AI must flag automatically • Define dosage guidelines by age, weight and comorbidities • Validate proprietary and generic medicine names for search accuracy • Draft concise, practitioner-friendly usage instructions ready for UI display You’l...

I need help analyzing a collection of text-based data for an ongoing research project. My background is in artificial intelligence and data science, yet I want a fresh perspective on exploratory analysis, pattern discovery, and interpretation so the insights are both rigorous and clearly actionable. The core task is straightforward: ingest the raw text files I provide, clean and structure them appropriately, then run exploratory and statistical analyses that reveal key themes, sentiment trends, and any significant correlations you uncover. Feel free to use Python with pandas, NumPy, NLTK, spaCy, or other standard NLP and data-analysis libraries—whatever you are most comfortable with as long as the workflow is reproducible. Because I don’t have a hard deadline, quality and cla...

I have just stepped into a Data Scientist / GenAI position after coming from a non-technical background and I need an experienced hand to shorten my learning curve. I can set aside two paid hours every workday for live, screen-shared sessions where you guide me through the actual tasks I’m handling at the office. My immediate focus is on AgenticAi and GenAi as well as Programming and coding, all in Python. Most of the problems revolve around making agentic tools and doing the coding product, then pushing them into production-ready scripts or notebooks. Help me structure features, debug loops, and explain best practices as we go. Typical session flow • A quick review of the day’s project goal (shared repo or notebook) • Pair-programming or walkthrough while I imp...

I have safety sector time-series dataset that combines three synchronized streams: sensor imagery, textual maintenance logs, and high-frequency numeric readings. The objective is to forecast future values—not merely detect anomalies—so grid operators can anticipate demand, equipment stress, and renewable supply fluctuations. Because this is a research-level effort, I’m not looking for an off-the-shelf CNN, RNN, or simple transformer stack. I need a genuinely novel architecture (or a rigorously justified adaptation of cutting-edge multimodal papers) that fuses image, text, and numeric signals into a single forecasting pipeline and demonstrably outperforms strong baselines. Key expectations • End-to-end experimentation code (Python, PyTorch or TensorFlow) with clea...

My interview is coming up quickly and I need to fast-track my understanding of how Generative AI, Snowflake, and Python work—individually and, more importantly, together in production-style workflows. I’m starting from a beginner level, so I’m looking for an instructor who can translate complex ideas into clear, practical takeaways. Here’s what will help me most: • Live demonstrations with explanations as we step through code, Snowflake queries, and model integrations in real time. • Space to interrupt with questions so I can connect the dots on the spot. • Concrete, industry-based examples—think end-to-end pipelines that load data into Snowflake, prep it with Python, and feed it to a GenAI model or prompt-engineering loop. • Short r...

Build a clean, modern, premium LMS platform with strong UX that supports: • Cohort-based live learning • Recorded lectures • Assignments & submissions • Basic gamification • Mentorship workflows This is Phase 1 (MVP). We will scale further after validation. ⸻ Scope of Work (MVP) Core Platform • User authentication (student, mentor, admin roles) • Student dashboard • Course/module structure • Progress tracking • File upload (assignment submission) • Admin panel for content management Live Learning • Zoom integration (API-based preferred) • Lecture recordings access Engagement • Points system • Leaderboard (basic) • Student profile progress Automation • Email notifications (transa...

I have a kaggle dataset containing colored images and thermal image .. do feature extraction and then combine them and the do feature extraction on it

I have safety sector time-series dataset that combines three synchronized streams: sensor imagery, textual maintenance logs, and high-frequency numeric readings. The objective is to forecast future values—not merely detect anomalies—so grid operators can anticipate demand, equipment stress, and renewable supply fluctuations. Because this is a research-level effort, I’m not looking for an off-the-shelf CNN, RNN, or simple transformer stack. I need a genuinely novel architecture (or a rigorously justified adaptation of cutting-edge multimodal papers) that fuses image, text, and numeric signals into a single forecasting pipeline and demonstrably outperforms strong baselines. Key expectations • End-to-end experimentation code (Python, PyTorch or TensorFlow) with clea...

Sto avviando un progetto di intelligenza artificiale pensato per gestire e ottimizzare i processi di marketing e vendite. Cerco una figura capace di: • Analizzare i dati esistenti (CRM, campagne, fatturato) per individuare pattern rilevanti. • Automatizzare attività ripetitive, come l’invio mirato di e-mail o la profilazione dei lead. • Generare insight in tempo reale che guidino le decisioni commerciali. • Fornire previsioni sull’andamento delle vendite e sull’efficacia delle iniziative di marketing. Mi interessa una soluzione funzionante end-to-end: dal reperimento e pulizia dei dati alla messa in produzione del modello, con dashboard di reportistica chiara e documentazione di utilizzo. Preferisco tecnologie consolidate (Python, scikit...

Harga emas Antam baru saja menembus Rp2.954.000 per gram, dan lonjakan ini memicu pertanyaan kapan saat terbaik untuk melakukan buyback. Saya membutuhkan sebuah laporan prediksi harga emas di masa mendatang yang berfokus pada perkiraan pasar emas global. Ruang lingkup • Sajikan proyeksi harga emas untuk 6 bulan, 1 tahun, dan 3 tahun ke depan. • Gunakan analisis ekonomi global—seperti kebijakan suku bunga The Fed, inflasi AS, pergerakan USD, serta ketegangan geopolitik—sebagai sumber data utama. • Tautkan pendapat Anda dengan dinamika permintaan–penawaran emas fisik dan ETF agar prediksi lebih kontekstual bagi pasar Indonesia. Deliverable 1. Ringkasan eksekutif set- rangkuman satu halaman. 2. Laporan analitis 8–10 halaman berisi: • Me...