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I'm looking for a skilled data analyst, preferably with experience in the education sector, to assist in calculating long-term s projections (5+ years). This will take not more than two hours. Key tasks include: - Analyzing current numbers, historical enrollment trends, and demographic data. - Utilizing Excel for projections with specific formulas: - Linear regression - Moving averages - Growth rate calculations Ideal skills and experience: - Expertise in Excel, particularly with complex formulas and data analysis tools. - Background in education data analysis or related fields. - Strong analytical skills and attention to detail. Your insights will help us make informed decisions for the future.

I am coordinating a large-scale healthcare randomised controlled trial and, now that we are midway through data collection, I need an experienced biostatistics partner who can carry the project through to publication and simultaneously prepare a systematic review on the same topic. For the RCT you will take over live clinical-trial data streams, refine the data collection and management workflow, perform all required statistical analyses, then translate the findings into a clear manuscript-ready report and slide deck. Because the trial is already registered and governed by strict SOPs and GDPR, familiarity with GCP, REDCap (or similar), and reproducible R scripts/SAS code is essential. Alongside the trial work I also need a full systematic review following PRISMA guidelines. You will han...

I have a set of time-stamped observations and I need a robust machine-learning solution that can forecast future values with solid accuracy. The end goal is an automated prediction/forecasting model that I can retrain as new data arrives and easily integrate into a larger Python pipeline. Here’s what I need from you: • Exploratory analysis of the raw time-series data, spotting seasonality, trends, and anomalies. • Thoughtful feature engineering (lags, rolling stats, calendar effects, exogenous variables if useful). • Model selection and training – I’m open to traditional approaches such as ARIMA/Prophet as well as more advanced architectures like Gradient Boosting or LSTM; choose what performs best and explain why. • Rigorous evaluation on a ho...

I need to turn raw treasury-trading deal data into clear, decision-ready performance reports. The core of the job is to build a repeatable process that reads my daily deal files, analyses them, and produces a set of Performance Reports covering three key metrics: • Return on Investment • Trading Volume • Profit & Loss Statement . RATES AND MORE The source files arrive in CSV/Excel straight from our treasury platform. I am comfortable sharing a sample dataset so you can map the fields, clean anomalies, and transform the numbers. Ideally the workflow is automated—SQL or Python for the heavy lifting and Excel, Power BI or Tableau for the final dashboards and printable summaries—but I am open to whichever stack you can justify as robust and maintainable....

I am looking for an experienced Python developer to build a trading analysis tool for synthetic indices (such as volatility indices). The tool will help analyze market data, test strategies, and provide a live dashboard for monitoring Requirements Data Collection Connect to a trading platform API (example: Deriv or similar). Collect and store historical price data. Ability to update data automatically. Market Analysis Engine The tool should: Analyze price movements. Detect patterns or indicators. Allow custom strategy rules. Backtesting System Test strategies using historical data. Show results such as: Win rate Profit/loss Drawdown Number of trades Live Analysis Run the strategy on live data. Generate signals or alerts when conditions are met. Dashboard A simple web da...

I’m running several data-science driven market research projects and need a sharp management trainee who can keep the wheels turning while digging deep into consumer behaviour. Your main focus will be consumer research—specifically behavioural patterns—so expect to be involved in everything from shaping survey instruments and sourcing secondary data to translating raw numbers into clear, decision-ready narratives for stakeholders. Day-to-day you’ll help me: • Coordinate timelines, milestones, and cross-functional touch-points so each study stays on track. • Collect and clean behavioural data, whether it comes from surveys, web analytics, or CRM exports. • Perform exploratory analysis in Excel, Python, R or any tool you prefer, then visualise ke...

**Project Title:** Machine Learning Model to Analyze Price Behaviour Around Moving Average (Forex – XAUUSD) **Project Description:** We are building a quantitative research project focused on understanding and modeling **price behaviour around a Moving Average** using machine learning techniques. The objective is to develop a **statistical/ML model that can estimate the probability and confidence of price movement relative to a moving average**. This project is specifically focused on **XAUUSD (Gold) in the Forex market**, using **1-minute historical data**. The key requirement is that the **model must analyze price dynamics strictly around the Moving Average**, without relying on additional technical indicators such as RSI, MACD, Bollinger Bands, etc. We want to understand and ...

I need a comprehensive graduate-level mathematics book TYPED. About 150 pages. It focuses on measure theory and Topology. The book covers: - Advanced topics in Measure Theory and Topology Ideal skills and experience: - posseses software to type mathematical book and knows how to efficiently use it with no learning curve (150 pages) -can type mathematical work 150 pages - Excellent writing and explanation skills - Experience in academic publishing

I’m preparing a 10-minute assessed presentation on a single UN Sustainable Development Goal—either Good Health & Well-Being (SDG 3) or Quality Education (SDG 4)—and I need a polished set of PowerPoint slides that hit every point on my marking rubric. The content has to be academically solid and properly referenced in Harvard style. Please weave in: • the current challenges the world faces in this area, • at least one convincing case study that shows tangible success, • the future targets set by the UN, and • a fresh, “think-outside-the-box” angle that keeps the audience engaged. I’ll supply the rubric as soon as we start so you can align slide structure, depth of analysis and visual flair to each criterion. Charts, i...

I’m halfway through a Power BI report and need an expert hand to finish the data-modeling side. All source data arrives as clean CSV files, each holding coordinate pairs alongside several lookup fields. Here’s what’s left to do: • Write DAX (or Power Query M if you prefer) that calculates the Euclidean distance between two coordinate columns in each row. • Build proper one-to-many relationships so my fact table links cleanly to the lookups. • Implement value-based filtering so end-users can slice results by numerical thresholds rather than dates or categories. I will share the PBIX, the raw CSVs, and a short explainer video that walks through the current model. Feel free to add supporting tables, custom measures, or quick visuals that prove each form...

I have a five-question risk-management assignment that must be solved entirely in Python and documented in a Word file. Each question asks me to pull real-world financial data from Google Finance, process it with well-commented code, and interpret the results in a risk-management context. Here is what I need from you: • Write clean, reproducible Python scripts for every question, making sure the data is fetched directly from Google Finance each time the code is run. • Embed concise explanations, assumptions, and any formulas alongside the code (either as inline comments or markdown cells if you prefer to work in a notebook before exporting). • Transfer the final answers, charts, and code snippets into a neatly formatted Word document so the assignment is submission-rea...

I have a set of weekly-refreshed sales figures that I want to explore in depth through a single, well-structured Excel workbook built around Power Pivot. The file must let me load new data each week, refresh the model with one click, and instantly see the impact across all reports. Here is what I need you to put in place: • Robust Power Pivot data model that ingests my raw sales tables and maintains clean relationships • Import and export routines (ideally via Power Query) so I can pull in CSV files and, when required, push summarized data back out • A suite of advanced DAX calculations: period-over-period growth, cumulative totals, top-N products, regional contribution, and any other metrics that help reveal trends • Interactive visualizations—charts, sli...

Headline: Driving Decisions with Data: The BMW Sales Analytics Dashboard Luxury brands don't just sell products; they sell experiences. But behind every premium experience is a massive engine of data. I’ve built a comprehensive BMW Sales Dashboard in Power BI to analyze how one of the world’s most iconic automotive brands performs across different markets. This project isn't just about the "Ultimate Driving Machine"—it’s about the Ultimate Data Insights. Key Insights Captured: Model Performance: Identifying which series (3 Series, X5, i7) is leading the revenue charts. Regional Deep-Dive: Mapping sales distribution across global territories to spot emerging markets. Engine Type Trends: Analyzing the shift from traditional Internal Combustio...

I’m kicking off a five-part AI build that will ultimately cover land value estimation, risk assessment, ROI prediction and more, but the very first milestone is a robust Land Value Estimation engine. Everything you need to understand the larger vision, data architecture and success metrics is spelled out here: Scope of this initial module • Work only with historical land price data for now; I’ll layer in geographical or environmental feeds once the core model proves reliable. • Keep the geographical focus tight—one defined local area—so we can reach production-ready accuracy quickly, then scale regionally. • Deliver a trained model (Python preferred), well-commented code and a concise report that explains feature engineering, validation metric...

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I’m working on a school assignment that must be completed in R Studio and centres on running a linear regression. The dataset is ready to share, and the goal is to: • write a clear, R script that imports the data, checks basic assumptions, fits the linear model, and outputs tidy results • provide concise explanations of each step so I can understand the rationale behind the code • include a brief write-up (Word is fine) that summarises findings, highlights any limitations, and suggests next steps Please keep the code beginner-friendly—base R or tidyverse is fine—and make sure every command is reproducible in R Studio. If you’ve helped students with regression assignments before, I’d love to see a quick sample or hear how you’d struc...

Project Title: MERN Stack Web Application Development Project Description: I am looking for a developer who can build a web application using the MERN Stack (MongoDB, , React.js, Node.js). This project is for academic purposes. Requirements: • Frontend: React.js with responsive UI • Backend: Node.js and • Database: MongoDB • Features: User authentication (login/signup), CRUD operations, basic dashboard • Clean and well-structured code Additional Requirements: • Source code must be provided • Basic documentation of the project • Proper comments in the code Budget: Open for discussion Deadline: 5–7 days If you have experience with MERN Stack development, please place your bid and share your previous work if available.

I’m looking for a mathematician who can tackle a range of analytical problems I’ve gathered for personal development. The questions span algebra, optimisation, and a few data-driven scenarios where results should inform sensible, real-world decisions, so the work isn’t just about getting the right numeric answer—it’s also about explaining the reasoning that leads there. Because this is purely for my own learning, there’s no hard deadline; quality of insight matters far more than speed. I’d like step-by-step solutions written clearly enough that I can follow the logic, with any supporting spreadsheets or code (Python, R, or even Excel) included if you use them during your analysis. Collaboration is welcome—I’m happy to discuss alternati...

NEED TO BE BASED IN MELBOURNE, WYNDHAM VALE I want my 14-year-old daughter to feel confident and even a little ahead in Maths, Science and beginner-level Python while staying firmly aligned with the Australian Curriculum. We’ll meet twice a week—one lesson in person at our home and one conducted online—so you should be comfortable switching between whiteboard, screen-share and hands-on demonstrations. Your task is to guide her through the Year 9 syllabus, weave coding examples into the maths and science topics, and check understanding with exercises that resemble NAPLAN questions. Before each class please send a short lesson outline; afterward, share a concise note on strengths, gaps and homework. Every two weeks I’d also like a simple progress tracker—Google...

I’m looking for a patient, upbeat tutor who can guide an elementary-school learner through the fundamentals of math. The focus is on building confidence with addition, subtraction, multiplication, and division, then moving into fractions, decimals, and basic shapes at a pace that feels comfortable. Here’s what I have in mind: • One-on-one online lessons (Zoom, Google Meet, or similar) • Clear, child-friendly explanations with plenty of real-life examples and visuals • Short practice sheets or interactive games after each session so progress is easy to track • A flexible schedule—late afternoons or weekends work best for us, but we can adjust If you have experience tutoring young learners and can keep sessions lively and engaging, I’d ...

I am commissioning a focused study that explores how cultural misunderstandings disrupt everyday interactions among employees. The goal is to pinpoint the most common pain-points so organisations can address them before they escalate into bigger collaboration problems. find 7 articles on this and breif them Scope of work The research must concentrate exclusively on cultural misunderstandings; issues such as language barriers and non-verbal cues sit outside this project. The participant pool should be current employees drawn from at least two distinct cultural or national backgrounds so the data reflects real-world diversity. Methodology You are free to combine qualitative interviews, focus groups and quantitative surveys. Tools like SurveyMonkey or Google Forms for data capture and ...

I am a recent graduate and want a structured skill-development course that takes me from absolute beginner to confident practitioner in data analysis. The program should combine theory with plenty of hands-on practice so I can start applying what I learn right away. What I expect • A clear learning path that begins with fundamental concepts (data types, basic statistics, exploratory analysis) and steadily introduces more advanced topics. • Practical exercises and mini-projects using widely adopted tools such as Excel, SQL and Python (Pandas, NumPy, Matplotlib or similar), so I can build a small portfolio along the way. • Short quizzes or checkpoints after each module to confirm I have grasped the material. • Real-world datasets for practice plus guidance on where...

I’m putting together a complete video course in Hindi and English that guides absolute beginners through the full journey of data analysis—from first principles all the way to hands-on work with popular tools such as Excel and Tableau. I need you to record the lessons yourself, speaking clearly, sharing your screen, and demonstrating every step so viewers can follow along in real time. The flow should start with fundamental concepts—types of data, descriptive statistics, basic visualisations—and gradually move into more advanced techniques like pivot tables, forecasting, and dashboard creation. Practical, example-driven teaching is essential; the audience has no prior experience, so every technique must be shown in context with a downloadable dataset. Deliverables...

I have several batches of raw financial data sitting in spreadsheets that need to be turned into clear, actionable insights. Before we get to the numbers-story, the data itself has to be properly cleaned, validated, and organised so every calculation is trustworthy. Once the groundwork is solid, I want you to dive deep and uncover trends, variances, and performance indicators that matter to decision-makers. Working in Excel or Google Sheets—whichever you prefer—you’ll prepare the dataset, build the analyses, and leave me with an easy-to-follow summary that highlights your key findings. Deliverables • A single, fully cleaned and validated spreadsheet (Excel or Google Sheet) containing all financial records • A clear analysis section inside the same file (or i...

I have 15 security-camera videos recorded at a petrol pump, each running for roughly 10 hours (about 150 hours of footage in total). For every vehicle that appears, I need two key pieces of information captured: • the half-hour time-slot in which it arrived (e.g., 09:00–09:30, 09:30–10:00, etc.) • how long that vehicle remained on the premises Within each 30-minute bin, please provide a count of vehicles in the following hierarchy: Broad classes – 2 Wheeler – 3 Wheeler – 4 Wheeler – Truck / Bus / Tractor / other special vehicles Detailed 4-wheeler breakdown (as requested via the form) SUV, Sedan, Hatchback, Pickup Truck, Van Heavy & special-vehicle breakdown Truck, Bus, Tractor, JCB, or any other special vehicle you...

I'm seeking a Python expert to develop a credit risk management model, focusing specifically on market data. Key Requirements: - Credit Risk Expertise: In-depth understanding of credit risk, particularly related to market data. - Python Proficiency: Advanced skills in Python for data analysis and modeling. - Data Handling: Experience in working with large datasets, especially market data. - Financial Acumen: Strong background in finance and risk management principles. Ideal Skills and Experience: - Proven experience in developing credit risk models. - Familiarity with relevant Python libraries (e.g., Pandas, NumPy, Scikit-learn). - Ability to provide clear documentation and insights on the model developed. Please share your relevant experience and approach to this project. I look ...

I’m seeking a professional who can take full charge of portfolio management focused exclusively on stocks. My goal is to build a disciplined, data-driven equity portfolio that balances growth potential with prudent risk control. You will be responsible for researching and selecting individual stocks, defining allocation targets, monitoring performance, and regularly adjusting positions as market conditions evolve. A clear, written strategy that explains your screening criteria, position-sizing logic, and rebalancing triggers will be essential. Deliverables will include: • An initial portfolio proposal with ticker symbols, allocation percentages, and rationale • A concise risk assessment outlining volatility expectations and downside controls • Monthly perfo...

I have a raw export of sales transactions and want to understand what the numbers are actually saying. Using Power BI and Excel, please transform the dataset into an easy-to-read snapshot of performance so I can see totals, averages, trends over time, and key segments at a glance. Scope – Clean and structure the file so every column is usable. – Produce descriptive statistics that highlight overall revenue, units sold, average order value, growth by month or quarter, and any noticeable seasonality. – Build an interactive Power BI dashboard (with filters for date ranges, product categories, regions, and sales channels) and a companion Excel workbook that mirrors the same insights for quick offline reference. – Include a brief written summary that calls out t...

I have a large, raw Flipkart sales export that needs to be turned into a polished, insight-rich Power BI dashboard. The core story I want told is product performance—specifically which items are driving the most revenue, which are lagging, and how return rates are affecting overall profitability. Beyond that focal point, the model should still let me glance at revenue trends, customer-purchase patterns, seller distribution and the impact of discounts, but competitor benchmarking is not required this time. Your work starts with data shaping in Power Query, progresses to a well-structured star schema, and ends with elegant, drill-through visuals built in Power BI Desktop. I rely heavily on DAX measures, so clear, well-named calculations are essential. Deliverables • Cle...

I am at the final stage of my MD thesis and need a fresh, expert eye on three key chapters—Results, Literature Review, and Summary/Discussion. The language is already proof-read; what I need now is someone who can strengthen the logic of my arguments, clarify the narrative flow, and ensure the statistical story is airtight. Results chapter • Check every statistical test for accuracy and appropriateness. • Tighten data-analysis interpretations so conclusions follow naturally from the numbers. • Re-work tables, figures, and wording so findings are presented as clearly and persuasively as possible. Literature Review • Make sure the argument builds coherently from current evidence to my study rationale. • Identify any missing seminal papers or recent ...

My MD thesis draft is complete and now needs a final, professional overhaul so I can submit it with confidence. I’m looking for someone who can move quickly yet meticulously through three key tasks: refine the data analysis section for accuracy and clarity, repair the structural flow (with special attention to the Table of Contents, Results, and Summary/Discussion chapters), and eliminate any remaining plagiarism using Grammarly’s detection tools. The document is already written; I don’t need fresh content—just expert correction and optimisation. Please keep all medical terminology intact while tightening language where necessary, update any statistical tables or figures if errors surface, and re-format headings, pagination, and spacing so the entire thesis aligns ...

I’m approaching my last assignment, an online exam that will test my overall proficiency in Microsoft Excel, and I want an experienced Excel specialist to guide me through the preparation process. The goal is to make sure I can complete every task confidently during the live assessment, from structuring data correctly to using core features without hesitation. Here’s what I’m looking for: • A short, focused review session to pinpoint any weak spots in my workflow. • Targeted practice questions that mirror the typical exam format. • Clear explanations of why each solution works so I can replicate the steps on my own. • Live walkthroughs—screen-sharing or annotated screenshots—demonstrating the fastest, most reliable methods inside Exc...

I have written code in R that requires interpretation and Python code that needs modification. The goal is to develop a system that updates lottery predictions automatically by entering new winning combinations. Key Requirements: 1. Deliver results for the Pick3 game first as proof of concept. 2. Create a file that generates new predictions based on updated winning combinations for games like Mega Million, PowerBall, Cash4life, and others (details provided). 3. Demonstrate functionality via screen sharing to ensure accuracy and alignment with requirements. Ideal Skills and Experience: - Proficiency in R and Python programming languages. - Strong understanding of algorithms and statistical modeling. - Experience with predictive modeling or similar projects.

I am looking for a remote academic research assistant to support the preparation of a Master’s thesis in Human Resource Management. The role includes helping with: Developing the research idea, problem, and objectives Conducting a literature review and identifying research gaps Designing research tools (survey questions or interview questions) Supporting data organization and statistical analysis Assisting with academic writing and editing The thesis will be written in Arabic, so the candidate must have strong Arabic academic writing skills. Preferred qualifications: Experience with academic research and thesis preparation Knowledge of research methodology (especially descriptive analytical research) Ability to access and review previous academic studies Experience design...

I need an expert in genomic data analysis, specifically with SNP array data and GEBV modeling. Tasks include: - Data preprocessing and quality control - Statistical analysis and modeling - Visualization of results Ideal skills and experience: - Proficiency in bioinformatics tools and software - Strong background in statistics and modeling - Experience with SNP array data and GEBV modeling - Ability to create clear, informative visualizations Looking for someone detail-oriented and experienced in handling complex genomic datasets.

I need a comprehensive review of the data analysis and presentation chapter of my mixed methods research. The analysis has been conducted using SPSS. Key Requirements: - Focus on improving presentation clarity - Ensure logical flow and coherence - Check for any ambiguous or confusing sections Ideal Skills and Experience: - Proficiency in SPSS - Strong background in mixed methods research - Excellent academic writing and editing skills - Experience in reviewing data analysis chapters

I’m running a comparative genomic-selection study, benchmarking about ten prediction models that range from rrBLUP and GBLUP to Random Forest, LightGBM, CNN and ElasticNet. The experiments are in motion but the dataset keeps growing, so I’m looking for a research-minded intern who can jump in, work entirely in R, and keep me posted with regular, concise updates. Here’s where I need your help: • Data preprocessing & cleaning – imputation, SNP quality filters, population structure checks. • Model development & tuning – implement or refine the models above, explore hyper-parameter grids and suggest new algorithms when they make sense. • Performance evaluation & analysis – rigorous cross-validation, predictive-ability metric...

We are looking for an Engineering Mathematics research expert for mathematical science projects. If you have the experience in areas of mathematical combined with sciences such as biomedical and engineering research project skills. This is a perfect match if your have several research published in researchgate.

More details: Which deep learning framework do you prefer for this project? TensorFlow Do you have a preferred dataset for brain MRI image segmentation? Please use a publicly available dataset Which style of output visualization do you prefer? 2D slices with segmentation overlay

I’m looking for a reliable partner to generate clear, technically-driven forex trading signals and deliver them straight to my inbox. Here’s what I need: • Technical analysis signals on major currency pairs, including precise entry, stop-loss, and take-profit levels. • Email notifications sent in real time or at pre-defined release times (e.g., London open, New York session). • A brief market rationale accompanying each alert so I can understand the key indicators behind the call—moving averages, RSI, MACD, support/resistance, or other chart patterns you specialise in. • Performance tracking: a simple weekly summary of closed signals so I can monitor win rate and risk-reward metrics. I already handle order execution myself; I simply need de...

I need a paper project on Sickle Cell Anemia disease. The Paper should be a minimum of 8 pages and must follow APA format (ie: title page, double spaced, 1inch margins, page numbered, header, citations, reference page). Paper should include at least the following, but is not limited to: Introduction Epidemiology: Include current statistics on disease distribution Risk factors Definitions & background data Pathophysiology Review of normal system anatomy and physiology (brief statement) Functional changes associated with disease process: clinical presentation disease progression Current Trends in care/treatment: may include research currently being done; what’s new on the horizon to improve patient outcomes. Cultural Sensitive Care for at least 2 cultural/religious groups....

Psychology grad & HR professional ready to help! HR Admin & Data Entry (Excel, Word, PPT) Content Writing & Articles Psych Statistics: Scoring, Interpretation, & Data Analysis Software: SPSS, LISREL, Mplus Interested? Follow or DM me directly!

I need an experienced Excel expert to fine-tune my workbook used for data analysis, specifically for generating skill completion reports. The goal is to eliminate any bugs and ensure its long-term reliability. Key Tasks: - Debugging existing formulas and functions - Streamlining report generation processes - Ensuring data integrity and accuracy Ideal Skills and Experience: - Proficiency in Excel, especially in data analysis - Experience with report generation and complex formulas - Attention to detail and problem-solving skills Looking for someone who can deliver a robust and efficient Excel workbook.

I have a data set from comparative studies and I need the full analytical cycle carried out in SPSS right away. The work covers three layers: descriptive statistics to profile the sample, inferential tests to detect significant differences between the study groups, and a regression model to pinpoint predictors of the main outcome. Please import the raw file into SPSS, verify coding, run the analyses, and return a concise report that explains each result in plain language together with the .sav file and syntax so everything is fully reproducible. I am ready to start immediately and would like the first set of tables and figures back as soon as you complete them so we can keep momentum.