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I run an internal up-skilling program for fresh graduates who have just joined our team and I’m looking for a trainer who can take them through AI agents, Python programming, and core Machine Learning concepts while walking them through a demo chatbot and one or two small sample applications. The classes will be online on Fridays, Saturdays, and Sundays, any 1–2-hour slot you prefer between 6 pm and 9 pm IST. A strong mix of digital whiteboard explanations, concise PowerPoint slides, and live screen-sharing is essential so the learners can both follow the theory and code along in real time. For each session I will need: • well-structured slide deck or whiteboard notes • the live notebook / script you write during class • a short, working demo project or e...

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...

I need a sharp, fast-paced research assistant for a live, time-sensitive project. You will be helping me navigate, search, and interpret a technical document.

I need a polished, persuasive letter addressed to the President of Guatemala that lays out concrete social solutions to today’s most pressing issues—poverty, health, education, and youth employment. I’ll supply raw notes, statistics, and a few personal anecdotes; you’ll turn them into a tight, one-to-two-page document worthy of presidential attention. The letter must be written in Spanish, carry an appropriately respectful tone, and follow formal Guatemalan correspondence standards (header, date, greeting, body, courteous close). I’m aiming for 500–700 words that present at least three actionable initiatives, each reinforced with a brief data point or real-world example. Speed matters: I’d like your first polished draft within 24–48...

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...

My QRadar deployment needs a sharper eye on phishing. I want a set of custom Alert and Correlation rules that reliably pick up everything from the first suspicious e-mail event to follow-up user activity that hints the attack is moving forward. Scope • Build correlation logic that ties together indicators such as mail-gateway detections, odd mailbox rules, risky web clicks, and any subsequent authentication anomalies. • Create alert rules that trigger actionable offenses the moment a phishing pattern emerges. The rules must fit neatly into existing QRadar best practices: use building blocks where appropriate, keep AQL searches efficient, and document each rule so another analyst can tune or extend it later. Acceptance A rule set that fires during lab replay of know...

I have a structured e-commerce dataset sitting in Excel/CSV format that needs a thorough exploratory data analysis. My goal is to turn raw tables into an insightful visual narrative—clear charts, concise commentary, and an executive-style report or interactive dashboard that highlights the key patterns hiding in the numbers. Here is what I need from you: • A clean, well-documented analysis (Python with pandas, seaborn/matplotlib or R tidyverse are fine) that walks through data profiling, outlier handling, and any necessary feature engineering. • Compelling visualizations—think sales trends, category performance, customer behaviour—that can be dropped straight into a slide deck or shared as an interactive report (Tableau, Power BI, or a notebook with embedded...

I need a robust leveraged-buyout model built from scratch that I can drop straight into my private-equity and investment-banking workflows. The file must run end-to-end: operating forecast, debt schedules, cash waterfalls, sensitivity tables, and an investor-level returns summary. I tend to layer this model onto CIM data, so speed and flexibility of the template matter more than heavy formatting. If you have closed-deal or pitch-book experience with LBO modelling, show me that background in your bid—real transactions, live mandates, or fund-side work all resonate more than generic coursework. No lengthy proposal decks are necessary; I’m only weighing the depth of your experience and any quick screens or snapshots that prove it. Deliverables • Clean, unlocked Excel fil...

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 have a complete CSV dataset that already contains daily returns, firm characteristics, and simulated ESG scores from six different rating agencies. I need a reproducible R workflow that: • Imports the CSV, fixes any inconsistent data types, and normalises numeric fields where appropriate (the file is already largely free of missing values, so no imputation step is necessary). • Calculates excess returns, firm betas, and then standardises each agency’s ESG rating using Z-scores. • Combines the six standardised ratings into an overall ESG score and derives an ESG-uncertainty measure (e.g. cross-sectional dispersion). • Forms monthly value-weighted portfolios sorted independently by beta, by the combined ESG score, and by the ESG-uncertainty metric. •...

I need a data analytics expert to analyze key datasets. Key requirements include: - Analyze sales, customer, and operational data. - Identify trends, make predictions, and improve efficiency. - Deliver insights for reports, business decisions, and strategy development. Ideal skills and experience: - Proficiency in data analytics tools (e.g., Python, R, SQL). - Strong analytical and statistical skills. - Experience in generating actionable insights from complex datasets. - Ability to communicate findings clearly. If you have a proven track record in data analytics and can work within my budget, I would love to hear from you.

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...

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.

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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.

Je propose un poste à temps partiel au sein de notre pôle Informatique pour un profil spécialisé en analyse de données. Votre mission principale sera de transformer nos sources brutes (bases SQL, fichiers CSV, API internes) en tableaux de bord clairs et en rapports exploitables par l’équipe produit. Concrètement, vous : • nettoyez, consolidez et structurez les datasets existants ; • mettez en place des requêtes SQL optimisées et des scripts Python ou R pour automatiser les extractions ; • élaborez des visualisations interactives dans Power BI ou Tableau afin de suivre nos indicateurs clés ; • recommandez des actions à partir des tendances détectées. Je fourni...

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...