Statistics Jobs

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...

My dataset on post-operative recovery in Orthopaedic Surgery is complete, and I need help writing the research article that can move straight into peer review. The scope is a primary study on patient outcomes, not a review article or case report, so every section—from structured abstract through Discussion—must follow the conventions of an original investigation. Here is what I will provide: the anonymised spreadsheet, basic statistical outputs (SPSS), operative protocols, and institutional ethics approval. What I expect back is a manuscript written in clear scientific English, formatted to the target journal’s author guidelines (Vancouver referencing, figure resolution, word limits, CONSORT flow diagram where applicable) and uploaded through the journal’s online ...

I need a concise, well-documented Python workflow that turns raw customer data into clear, decision-ready insights. The files arrive as CSV exports from our CRM and contain purchase history, demographic fields, and basic engagement metrics. I want the code to: • load and clean the datasets (handle missing values, standardise field names) • explore key patterns—frequency of purchase, average order value, cohort retention, and any other meaningful customer behaviour metrics • generate charts or interactive visuals that I can drop straight into presentations (matplotlib, seaborn or Plotly are fine) • export a short written summary of findings, ideally as a Markdown or PDF report Pandas, NumPy, and a mainstream visualisation library are expected; if you prefer...

I need assistance with moderated moderation mediation analysis using the PROCESS macro in SPSS. This analysis is critical for testing hypotheses in my research. Key Requirements: - Expertise in SPSS, particularly with the PROCESS macro - Experience in moderated moderation and mediation analysis - Ability to interpret and report results clearly Ideal Skills: - Advanced statistical knowledge - Proficiency in regression analysis (any type) - Strong analytical thinking and problem-solving skills Please provide relevant experience in your bids.

I’m looking for an expert who can handle STATA confidently for data analysis and explain the results clearly. Payment will be fixed, and if things go well, there can be more work in the future. If you have solid STATA experience, please get in touch.

I’m looking for an expert who can handle STATA confidently for data analysis and explain the results clearly. Payment will be fixed, and if things go well, there can be more work in the future. If you have solid STATA experience, please get in touch.

I need a Python-based trading program that plugs directly into the Zerodha Kite API and runs end-to-end on live Indian equity and F&O markets. The code must handle three pillars inside a single, well-structured repository: • Automated trading – place, modify, and cancel orders programmatically (market, limit, SL). The engine should be able to run multiple strategies concurrently and execute through Zerodha’s regular and MIS product types. • Market analysis – fetch historical and live tick data, calculate technical indicators on the fly (you’re free to use pandas, numpy, TA-Lib, or your own functions), and generate entry/exit signals according to parameters I will supply. • Risk management – position sizing, max daily drawdown, per-trade s...

Title: R Studio/Data Analysis Support for Dissertation (Excel → R Studio → Chapter Writing) Description: I am seeking an experienced data analyst or statistician to assist with a dissertation research project. The main tasks include: Uploading and evaluating existing data from an Excel sheet into R Studio Performing analyses to address specific research questions Assisting with interpretation of results Supporting the writing of Chapters 4 (Results) and 5 (Discussion/Conclusions) based on the findings Requirements: Proficiency in R Studio and statistical analysis Experience with Excel data management and cleaning Strong ability to interpret results in the context of research questions Familiarity with academic writing and dissertation formatting Attention to detail and...

I’m currently working through a quantitative finance / financial engineering program and I’m looking for an experienced finance or quantitative professional to provide ongoing technical support and guidance. This is not a one-off task. I’m looking for someone who understands both financial theory and practical model implementation, and who can support me across multiple modelling problems and conceptual questions as the program progresses. Areas involved include: • Mean–variance portfolio optimisation • Risk-free assets and efficient frontiers • Volatility targeting and portfolio constraints • Excel Solver formulation and convergence issues • Asset pricing, portfolio risk, and returns • Interpretation and validation of quantitat...

I’m looking to commission a custom machine-learning model that automatically writes full-length research papers in the medical field. The focus is article-style generation rather than casual chatbot replies or short-form posts, so coherence, correct structure (abstract, introduction, methods, results, discussion, references), and domain-appropriate terminology matter more to me than conversational flair. You’re free to choose the underlying architecture—transformer-based models such as GPT-like variants, T5, Llama, or your own hybrid approach—so long as the final pipeline consistently produces high-quality drafts that read like genuine medical research. I will supply example papers and any additional datasets you ask for; you handle data preparation, fine-tuning, a...

We are hiring an experienced professional to build Excel-based strategy and planning tools. These tools will be used for business planning, analysis, and decision-making. What You Will Develop You will build Excel tools and frameworks, such as: Planning and evaluation tools Scoring and comparison models Tracking and analysis templates Structured decision-support frameworks

We are hiring an experienced Excel financial modeling expert to develop a set of advanced financial Excel models for internal business use. The work requires strong financial logic, accuracy, and professional Excel structuring. This is not data entry or basic Excel work. Only apply if you have built serious financial models before. What You Will Develop You will build multiple Excel financial models, such as: Integrated financial models (Profit & Loss, Balance Sheet, Cash Flow) Budgeting and forecasting models Cash flow and runway models Unit economics models (LTV, CAC, break-even) Valuation and scenario analysis models Each model will be a complete, stand-alone Excel file. Deliverables (Per Model) Excel file (.xlsx) 5–10 structured worksheets Clear input and output sections...

I have a growing spreadsheet-based database that now needs three things in one streamlined workflow: accurate re-typing of a few legacy documents into the master sheet, a quick proof pass to catch typos and formatting issues, and finally a clear market analysis drawn from the cleaned data. The core of the job is data analysis, with a focus on market analysis. Once the information is re-entered and verified, I’d like you to identify key market trends hidden in the numbers—patterns in customer behaviour, shifts in demand, emerging opportunities, and any risks you notice. Feel free to use Excel, Google Sheets, or your preferred tools (Python + Pandas or SQL are fine too) as long as the final files remain easy for me to open and follow. Deliverables • A fully re-typed ...

I need a partner who can walk me through the full process of quantifying and explaining feature importance across several classic models—specifically Linear Regression, Decision Trees and Support Vector Machines—using Python. The goal is to compare and contrast interpretability techniques such as SHAP, LIME, PDP and ICE, then package the findings so that non-technical stakeholders can easily understand why each feature matters. What I expect from you • Well-structured, reproducible Python code (preferably in Jupyter notebooks) showing how each model is trained and how the above interpretability methods are applied. • Clear visualisations and narratives that highlight where and why the different methods agree or diverge. • At least one live session (Zoom, M...

I need an Excel dashboard to visualize operational data, specifically focusing on procurement across different companies. The dashboard will be used for data visualization purposes. The data set is already created, along with some ref pivot tables for IDEA. just need Help with the visualization of the content along with a few addons based on requirements. The data set talks through the Procurement plans from different global regions for the next 3 Financial years with some key metrics needed to be captured for easy user/team viewing of the plan and progress Requirements: - Ability to create visually aesthetic, interactive and user-friendly Excel dashboards - Expertise in data visualization techniques - Experience with operational data analysis - Ideal Skills and Experience: - Strong a...

I have a set of raw pharmaceutical data and I need it transformed into a clear, reliable financial analysis that hinges on accurate drug-dosage calculations. The goal is to understand how each dosage choice affects overall cost and profitability, so the numbers have to be airtight. Here’s what the job looks like from my side: • Source data: prescription-level, pharmacy-supply figures (Data farmasi). • Core task: run precise Penghitungan dosis obat, then fold those results into a concise Analisis keuangan. • Preferred tools: Excel for all number-crunching; if you lean on Python, R, or Power BI to streamline the workflow, that’s fine as long as the final model lives in an easy-to-audit spreadsheet. Deliverables I need to see: 1. An Excel file with every dosage ca...

I want to quantify how recent advances in artificial intelligence are influencing forecasts of French GDP. I already have access to long-run historical GDP time-series and would like you to work only with that dataset for now. The task is strictly quantitative: build and compare solid économétriques models that incorporate an IA variable (or proxy) and measure its marginal effect on growth projections. You will be free to choose among standard time-series techniques—VAR, ARDL, error-correction, whatever proves statistically sound—provided the approach is fully documented and reproducible in R, Python, or Stata. Along the way, please explain every transformation, stationarity check, and specification test so that the methodology can be defended in an academic sett...

I’m seeking an expert who knows Cosmiol 5.5 inside out for a focused, one-time assignment. I’ll share the exact objectives with you once we connect, but the end goal is simple: walk away with a fully functional Cosmiol setup that does exactly what I need—no lingering bugs, no half-finished features, and clear documentation so I can maintain it later. Because Cosmiol’s workflow can get intricate, I’m counting on you to: • Analyse my current environment and quickly pinpoint what must change or be built. • Implement the agreed solution directly in Cosmiol 5.5, following best practices. • Validate every change with me in real time, making revisions until we hit the mark. • Hand over concise notes or a short screencast explaining what yo...

I want to create an app that tracks golf rounds by user. The app has largely been created and needs to be hosted on Firebase. Need help migrating the code there and adding some features. It should do the following: 1. Calculate it's own hole specific index for course a golfer has played. Come up with a formula that accounts for average score on each particular hole. For example, golfers tend to play the same holes and therefore there should be an index for that hole for that particular golfer. AI can make suggestions on formula. 2. track a free drink tax that shows $2.50/free drink received throughout the year. At the end of the year, this tax is collected and paid towards the OG dinner each December. Winners buy losers a drink in the pub after each round. Losers are taxed that $2.5...

I have a set of raw survey responses that must be brought into a single, well-structured Excel workbook ready for descriptive statistical analysis. The job starts with straightforward data entry—copying and pasting figures from several source files—then moves on to tidy formatting, consistent cell styles, and the creation of clear headers so every column can be understood at a glance. Once the data is clean, I need you to build the formulas that will drive the analysis: means, medians, modes, standard deviations, response counts, and percentage breakdowns across key demographic columns. A summary sheet should pull these measures together automatically, updating whenever new data is added. Deliverables • Master worksheet containing the cleaned survey data, free of blanks,...

I’m getting ready to run a buffer-solution analysis and want to walk through every step of the scientific method correctly— from shaping the hypothesis to submitting a polished lab report. My study guide’s pH section is useful but I still need hands-on guidance. Here’s what I’m looking for: • Experiment design: help me frame the research question, outline variables and controls, and choose the right buffer concentrations and indicators. • Lab execution: coach me on pH meter calibration, proper use of glassware, and any tips that prevent common buffer pitfalls. • Data work-up: once the readings come in, I’ll need a clear path for plotting titration curves, calculating pKa, and running any basic stats (Excel, Google Sheets or similar)....

I have a set of raw survey responses that must be brought into a single, well-structured Excel workbook ready for descriptive statistical analysis. The job starts with straightforward data entry—copying and pasting figures from several source files—then moves on to tidy formatting, consistent cell styles, and the creation of clear headers so every column can be understood at a glance. Once the data is clean, I need you to build the formulas that will drive the analysis: means, medians, modes, standard deviations, response counts, and percentage breakdowns across key demographic columns. A summary sheet should pull these measures together automatically, updating whenever new data is added. Deliverables • Master worksheet containing the cleaned survey data, free of blanks,...

I have a raw spreadsheet that first needs to be brought into shape—duplicates removed, columns standardized, missing values handled, and everything neatly organised so future look-ups are effortless. Once the data set is clean, I’d like you to run a full regression analysis in Excel to uncover the relationships I’m interested in. Deliverables I expect: • A cleaned, well-documented Excel file with clear data validation rules in place • A separate sheet showing the regression output, interpretation notes, and any supporting charts or residual diagnostics you feel are useful Please stay entirely within Excel—no Power BI or external scripts needed. If you prefer to use built-in Analysis ToolPak or native formulas, that’s fine; just keep the wor...

Daily chat support keeps our Forex community engaged and informed. Between 10 AM and 10 PM GMT 0, every single day of the month, I need someone logged in and ready to reply within minutes, guide newcomers through the fundamentals of Forex, and clarify how our trading signals and copy-trading features work. When a client’s dashboard freezes or a trade doesn’t execute, you’ll calmly walk them through the fix, drawing on solid technical knowledge—this is the quality I value most in the role. You’ll work remotely with clear scripts, step-by-step processes, and ongoing training, yet still have room to bring your own style to conversations. Good, fluent English and a genuine understanding of trading concepts are essential; prior experience in live chat or customer ...

Power BI Dashboard Connected to Google Sheets – Stock Trading Analytics Project Overview I am looking for an experienced Power BI developer to build a dynamic trading analytics dashboard connected to Google Sheets. The solution must follow Power BI best practices, use proper data modeling, and support automatic refresh without manual intervention. ⸻ Data Source (Google Sheets) The dashboard will connect to Google Sheets containing the following tables: 1. Clients Master Columns: • Client Code (unique) • Client Name • Opening Cash Balance 2. Trades Table Columns: • Trade Date • Client Code • Stock Symbol • Buy / Sell Indicator • Quantity • Trade Price • Brokerage Amount 3. Live Price Table Columns: • Stock Sy...

I’m an advanced MATLAB user looking for focused, one-on-one guidance as I tackle a data-analysis and visualization project. I need a seasoned MATLAB expert who can: • Walk me through best-practice workflows for importing, cleaning, and analyzing large datasets. • Help me design clear, publication-ready plots and interactive visualizations. • Review my existing scripts, suggest performance tweaks, and demonstrate profiling tools. • Dive into dynamic programming techniques where they can sharpen optimization or repeated-calculation sections of the analysis. We’ll meet live (screen-share or similar) for short, practical sessions, then I’ll apply what we cover between calls. Please be comfortable explaining advanced concepts succinctly and provid...

I need AI trainer. The goal is to arrive at production-ready machine-learning models. You will receive full access to the data, a brief describing the business context behind each task. What matters most is a clear, well-documented workflow: data cleaning, feature engineering, model selection, hyper-parameter tuning, cross-validation, and benchmark reporting. I also need concise guidance notes so my in-house team can rerun or extend the work later. Deliverables • Trained model files saved with versioning and clear naming • A short report (PDF or Markdown) summarising methodology, metrics, and next-step recommendations I’ll be available for quick feedback cycles and can spin up extra compute if needed. Let’s turn this diverse data into smart, reliable insights.

I'm looking for a skilled analyst to provide detailed reports on basketball game statistics. The focus will be on: - Player performance metrics - Team performance metrics - Game outcome predictions Ideal skills and experience: - Strong analytical skills - Experience in sports analytics, especially basketball - Ability to create comprehensive and clear detailed reports - Knowledge of statistical software and tools Please include samples of previous work in your bids.

I need a sharp MIS hand to take raw operational data and turn it into clear, decision-ready information. Day to day you’ll work in Excel, mining the sheets I supply, then translating them into reports that management can read at a glance. Beyond the routine summaries, I also want fresh insight—spotting patterns, highlighting anomalies, and presenting concise trend analysis that guides our next moves. Core focus areas • Generating reports in clean, well-formatted Excel workbooks • Performing trend analysis that combines numbers with brief narrative takeaways Consistency, accuracy, and visually intuitive charts are non-negotiable. If you prefer adding Power Query, pivot tables, or VBA to streamline the flow, feel free; just keep everything compatible with standa...

Recruiting EI conference paper writers. There are four research directions available, and scholars/professionals with research or writing experience in related are cordially invited to cooperate in completing paper writing and submission. The specific topics are as follows: of High-Skill Talent Profiles and Application of Knowledge Graphs for the Hydropower Industry on the Data-Driven Digital Transformation Path of Human Resource Management 3.FP-Growth-Based Intelligent Task-Talent Matching Method in Flexible Organizational Scenarios on Intelligent Evaluation Model of Employee Performance Based on Imbalanced Data Mining Applicants are requested to choose one direction according to their expertise and briefly the relevant research or writing experience. We look forward to cooperating ...

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’m looking for an expert who can handle STATA confidently for data analysis and explain the results clearly. Payment will be fixed, and if things go well, there can be more work in the future. If you have solid STATA experience, please get in touch.

I'm seeking a PhD mentor to assist with field data analysis for my quantitative research. Key Requirements: - Expertise in quantitative data analysis - Proficiency in SPSS, R, or Excel - Experience in mentoring PhD candidates

I have a set of raw survey responses that must be brought into a single, well-structured Excel workbook ready for descriptive statistical analysis. The job starts with straightforward data entry—copying and pasting figures from several source files—then moves on to tidy formatting, consistent cell styles, and the creation of clear headers so every column can be understood at a glance. Once the data is clean, I need you to build the formulas that will drive the analysis: means, medians, modes, standard deviations, response counts, and percentage breakdowns across key demographic columns. A summary sheet should pull these measures together automatically, updating whenever new data is added. Deliverables • Master worksheet containing the cleaned survey data, free of blanks,...

I have between one and five PDF files that embed photographs, and I need each image examined for evidence of manipulation. The focus is on three specific red-flag areas: visual anomalies in lighting, shadows, or perspective; metadata inconsistencies (when any metadata can be extracted); and traces left by compression or editing workflows. The deliverable is a detailed written report. For every PDF you review, I expect clear, professional language that: • Describes any irregularities you detect, citing page and object coordinates when possible • Explains what tool or test (e.g., ExifTool, Forensically, error-level analysis, histogram inspection in Photoshop/Affinity Photo, Acrobat’s preflight data) produced each finding • Ranks the severity of each issue so I unde...

I’m looking for an expert who can handle STATA confidently for data analysis and explain the results clearly. Payment will be fixed, and if things go well, there can be more work in the future. If you have solid STATA experience, please get in touch.

I’m looking for an experienced STATA software expert to assist with data analysis. The freelancer must be skilled in STATA and deliver accurate work on time. Budget is fixed. This may turn into long-term work if performance is good. Please send a brief intro and your STATA experience.

I’m ready to bring the same structure and depth I saw in BCG’s virtual consulting exercise into my own finance function. You’ll have direct access to our raw sales data (CSV export from our ERP), and your brief is to surface two concrete insight streams: • Clear, visualised sales trends over time that reveal seasonal swings, growth plateaus, or sudden spikes • Action-oriented findings on customer purchasing patterns so we can refine cash-flow planning, discounting, and inventory strategy Once the analytics are in place, I’ll need a short slide deck or memo that converts those findings into finance-focused recommendations—for example, timing large expenditures, reshaping payment terms, or reallocating working capital. I’m comfortable with w...

I need a well-structured Pine Script that executes an intraday trend-following strategy built on two core indicators: Moving Averages and RSI. The script should be fully parameterised (lengths, sources, thresholds) so I can tune it across several symbols without touching the code. My ideal flow is: • Clean, commented Pine v5 strategy that plots fast/slow MAs, displays RSI in a separate pane, and triggers long or short entries when MA crossover aligns with RSI confirmation. • Clear stop-loss and take-profit logic, plus the usual TradingView strategy performance metrics. • A short Python snippet that replicates the entry/exit conditions so I can run batch back-tests outside TradingView. If you already have a proven approach to real-time intraday data handling and k...

I need an Excel expert to merge multiple calculation files into a single file and add custom calculations. Requirements: - Merge existing Excel files into one - Add custom calculations, including complex mathematical formulas - Use of differential equations is required Ideal skills and experience: - Proficiency in Excel, especially with complex formulas - Strong background in mathematics, particularly in differential equations - Experience in data manipulation and file merging in Excel

I need a concise, job-ready skills assessment that P&G can use to screen candidates. The test must cover two areas: • Technical component – centred on Data Analysis. Think practical dataset interpretation, basic statistics, Excel/SQL manipulations, and scenario-based questions that mirror the type of analytical thinking P&G expects. • Soft-skill component – situational prompts that reveal collaboration style, problem-solving approach, and communication clarity. Please deliver: 1. A question bank (roughly 30 technical, 20 soft-skill items) tagged by difficulty and competency. 2. An answer key with clear explanations and a scoring rubric that flags pass/fail thresholds. 3. Candidate instructions plus brief guidance for hiring managers on interpreting re...

I'm looking for an experienced Python teacher specializing in advanced programming and machine learning. Essential requirements: - Expertise in Python, especially in machine learning - Ability to explain complex concepts clearly - Experience with popular ML frameworks (e.g., TensorFlow, PyTorch) - Flexible scheduling to accommodate my learning pace If you have a strong background in these areas, please apply!

I will share a raw table of laboratory-measured water-quality parameters (pH, turbidity, dissolved oxygen, heavy-metal readings and several others). Using those records I want to end up with a supervised, decision-tree-based solution—specifically a Gradient Boosting model—that predicts overall water quality with the highest possible accuracy. Here is what I need from you: • Inspect and clean the dataset, handling outliers, missing values and inconsistent units. • Explore feature importance and, where helpful, create additional engineered features. • Train and fine-tune a Gradient Boosting decision-tree model (scikit-learn, XGBoost or LightGBM are all acceptable) with solid cross-validation. • Compare its performance against at least one other tree-ba...

I need a Python developer experienced with financial APIs to create a financial reporting tool. This tool will focus on generating reports on top percentage gainers using 1-minute bars over a 10-minute span. Key Requirements: - Financial reporting tool development - Integration with financial APIs (, Alpaca, Yahoo Finance, etc.) - Focus on top % gainers metric - Use of 1-minute bars over 10-minute span Ideal Skills & Experience: - Proficiency in Python - Experience with financial data and APIs - Strong analytical skills - Background in finance or data analysis

I’m looking for a skilled professional to build an interactive Power BI dashboard tailored for sales and financial data. The dashboard should integrate key performance indicators (KPIs) for clear tracking, include interactive filters and drill-down options for deeper insights, and provide visually compelling data representation through charts and graphs. The goal is to create a tool that helps in making data-driven decisions and presents critical sales and finance metrics in a user-friendly, intuitive format. Let's collaborate to bring this project to life!

I run a fast-growing investment startup and am looking for a sharp **Virtual Chief of Staff** to help keep operations tight so I can focus on strategy. You’ll act as my right hand and own: * Calendar management and meeting coordination (ET time zone) * Drafting and managing professional investor communications * Tracking follow-ups and maintaining contact / investor logs * Driving small internal projects to completion * Handling operational details (file organization, PDFs, content review) * Identifying or building simple automations (bonus) **Ideal background** * Extremely organized, proactive, and clear communicator * Comfortable working directly with a founder * Familiar with Google Workspace, Slack, Asana (or similar) * Bonus: Python, automation, or social media/content ops e...

I need help analyzing historical rainfall data to adjust stormwater tax rates. The analysis will inform policy recommendations for tax adjustments. Ideal Skills and Experience: - Expertise in data analysis - Experience with historical rainfall data - Ability to provide clear, actionable policy recommendations - Strong background in environmental policy or economics

Job Summary: We are looking for an experienced Pitch Deck Designer with strong UI/UX skills to craft a visually stunning, investor-ready pitch deck. The ideal candidate will have a proven track record of creating pitch decks that communicate complex ideas clearly, engage stakeholders, and leave a lasting impression. Key Responsibilities: Design a high-impact investment pitch deck from scratch, including content structuring, storyboarding, and visual design. Translate complex business, financial, and technical concepts into clear, visually appealing slides. Ensure the pitch deck maintains a cohesive, professional, and modern aesthetic aligned with our brand. Apply UI/UX principles to make the deck intuitive, engaging, and investor-friendly. Collaborate with founders and leadership to ...

I'm seeking an AI/ML expert to develop a smart health ID system with predictive analysis capabilities for brain cancer risk assessment. Key Requirements: - Predictive Analysis: Focus on risk assessment. - Data Source: Analyze medical imaging scans. Ideal Skills & Experience: - Expertise in AI/ML, particularly in predictive analytics. - Experience with medical imaging data. - Background in healthcare technology is a plus. - Strong programming skills (Python, TensorFlow, etc.). - Ability to deliver secure and compliant health data solutions. Please provide relevant work samples and a detailed approach.

I’m running a research-grade study on how different transfer-learning strategies affect deep-learning image-classification accuracy and efficiency, and I’d like a PyTorch expert to help me turn the experimental plan into clean, reproducible code and an insightful report. Here’s what I need from you: • A well-structured PyTorch pipeline that can load a few supplied image datasets, swap in multiple pretrained backbones (e.g., ResNet, EfficientNet, ViT) and fine-tune them under several common strategies (feature extractor, full fine-tune, layer-freezing variants). • Training scripts or notebooks with clear logging of hyper-parameters, metrics, and run times so results are comparable across experiments. • A concise written analysis summarising finding...