Análisis estadístico Jobs

Medical Meta-Analysis / Systematic Review Researcher Needed I am looking for an experienced freelancer to assist with medical systematic reviews and meta-analyses. The ideal candidate should have a strong background in medical/clinical research and previous experience conducting and publishing systematic reviews and meta-analyses. Required skills: * Systematic literature searching and study screening * Data extraction from clinical studies/RCTs * Risk-of-bias assessment (e.g., RoB 2, ROBINS-I) * Conventional pairwise meta-analysis * Statistical analysis using R, Stata, RevMan, or similar software * Assessment of heterogeneity, publication bias, and sensitivity analyses * Preparation of forest plots, funnel plots, and publication-quality figures/tables * Familiarity with PRISMA guidelin...

I have a single company’s financial statements archived as PDFs and I need clear, data-driven answers to two questions: how has the firm’s revenue grown over time, and what has happened to its profit margin along the way? The task starts with converting the PDF tables into a workable dataset, cleaning any OCR or formatting issues, and structuring the numbers so year-on-year trends are reliable. From there, I want descriptive statistics, visualisations that highlight revenue as well as gross and net profit, and a concise narrative explaining the drivers behind any major shifts you uncover. Please use whichever toolchain you are most comfortable with—Python (pandas, tabula, Camelot), R (tidyverse), or even Power BI/Excel—as long as the extraction is accurate and t...

I am seeking an experienced statistician or Minitab user to review and carry out appropriate statistical analysis for 18 experimental tables from a PhD thesis. The work will involve reviewing the experimental design and replicate structure for each table, selecting the appropriate statistical tests, carrying out the analyses in Minitab, and providing clear outputs suitable for inclusion in a PhD thesis and appendix. The analysis may include one-way ANOVA, General Linear Models/factorial ANOVA, Tukey HSD post-hoc comparisons, interaction effects, and appropriate checks of model assumptions, depending on the experimental design of each table. The person should: confirm that the statistical approach used for each table is appropriate; clearly distinguish independent replicates from repeat...

I need someone with experience in public health to help me with my academic research. The research is related to public health and requires collecting information from reliable sources, organizing the information, and providing references.

I am developing an integrated water-resource model for the Eastern Nile, with the focus narrowed to the Blue Nile Basin. The core task is to build, calibrate and validate a detailed SWAT+ representation of the basin’s hydrology and then couple the results to a WEAP framework so I can test alternative water-allocation scenarios across sectors and seasons. Key objectives • Generate a reliable basin-scale hydrologic simulation that captures streamflow, reservoir dynamics and return flows under present land-use and climate conditions. • Import SWAT+ outputs into WEAP to simulate allocation rules, policy changes and projected demands, providing decision-relevant indicators such as unmet demand, environmental flow compliance and system reliability. Required workflow &nd...

I need my NZPack-powered NinjaTrader environment configured from scratch so I can reliably backtest and refine a metals strategy (gold and silver). Your task begins with a clean install: connect to my machine through the temporary remote credentials I will supply, load NZPack, adjust any dependencies, and verify that every component compiles without errors. Because I don’t yet have the historical data, please locate a high-quality tick or one-minute feed that covers at least the past five years of COMEX gold and silver futures, import it, and build the necessary databases so the platform can run fast, repeated simulations. Once the data is in place, run representative backtests that highlight the performance of my current template. I am interested in performance optimisation rather...

I have a growing archive of drill-hole and operational logs from our mining sites and I want a specialist to turn those raw tables and sensor feeds into clear, actionable insights that help us streamline day-to-day operations. The core focus is optimisation: I’m less interested in historical “what happened” reports and far more interested in seeing where we can tighten cycle times, cut idle hours, and schedule maintenance before downtime strikes. You’ll start by cleaning and structuring the datasets (CSV exports from fleet management systems, time-series from pressure and torque sensors, and geology logs). From there, I expect a blend of descriptive summaries to frame the current state, followed quickly by predictive or prescriptive modelling that pinpoints concret...

NOTE: This is purely intellectual partnership. Money is not a motivation in this project. Seeking an established researcher for long-term collaboration in computational/structural biology. Applicants focusing solely on "Thesis Writing" or similar services will not be considered. Requirements: * PhD in CS, computational science, bioinformatics, statistics, or related field * Established publication record * Professional standing to serve as a future academic/industry referee Collaboration: * Strengthen methodology and experimental design * Perform supplementary analyses * Co-write manuscripts and reviewer responses * Provide a reference letter after an established collaboration Full co-authorship for contributions meeting authorship standards, with opportunities for follow-u...

I need a concise, end-to-end Python workflow that turns a small customer transaction & engagement dataset into clear insights about how people behave on our platform. The data will require thorough cleaning and validation, thoughtful feature engineering, and sensible normalization before any analysis begins. Once the data is tidy, please explore it with Pandas and NumPy, surface the most useful behavior patterns, then build a light predictive component focused on customer segmentation. A handful of well-chosen Matplotlib charts should illustrate the key trends and support the final narrative. Deliverables • A single, well-commented Python script or Jupyter Notebook that runs start to finish without manual tweaks • The cleaned, processed version of the dataset saved ba...

I need help with analyzing a dataset using Excel. The required statistical analysis is descriptive statistics. Key tasks include: - Calculate mean, median, mode - Determine variance, standard deviation - Create frequency distribution Ideal skills and experience: - Proficiency in Excel - Strong background in statistics - Experience with data analysis Please provide your approach and relevant experience.

I need a concise Pine Script that focuses purely on analysing Forex price action for trend direction. The goal is not to open or manage trades but to scan a chosen currency pair on TradingView, determine whether the market is in an up-trend, down-trend or ranging, and then plot that information clearly on the chart. Key details • Scope: analyse financial data only—no order execution logic. • Market: Forex pairs (I will set the symbol manually). • Method: any sensible combination of moving-average relationships, recent swing highs/lows or other reliable techniques you prefer, as long as false signals are minimised. • Output: a coloured background or label that states “Up”, “Down” or “Range” plus an optional table box sho...

I am in the initial stages of a PhD that explores decision making issues in Organizational Leadership, and I want an experienced doctoral-level mentor to guide the entire research journey. My main need is research guidance: sharpening the problem statement, refining questions, shaping a solid mixed-methods design, and steering me through literature review, data collection, analysis, and interpretation. I am expecting that the study will most probably combine qualitative insights with quantitative validation. I have a rough proposal drafted but it needs an expert eye to ensure methodological rigour, coherence between the two strands, and alignment with current literature. Key outcomes I expect from our collaboration: • A clearly articulated research framework and set of testable pr...

I need an experienced medical writer to transform my public-health research findings into publication-ready articles. The assignment is strictly research-based—no clinical-trial or pharmaceutical content—so you’ll be crafting full manuscripts that can stand up to journal peer review. I’ll provide study objectives, raw data summaries, statistical outputs, and any background literature I’ve already collected. Your role is to develop a well-structured paper: abstract, introduction, methods, results, discussion, and a properly formatted reference list. Fluency with established guidelines (STROBE, PRISMA when relevant) and citation styles such as AMA or APA is essential. Clear, evidence-based writing, logical flow, and precise referencing are my top priorities. ...

We are seeking a strongly credentialed Internet research and information-retrieval specialist to conduct a comprehensive analysis of publicly available Internet content concerning a discontinued consumer product/brand that was widely marketed approximately 25–35 years ago. The objective is to determine the volume and nature of current online discussion concerning the historical brand and product. Scope of Work The research will focus on two primary questions: Extent of continuing Internet discussion and recognition. Identify and quantify publicly available Internet and social-media references concerning the historical brand/product, including consumer recollections, discussions, nostalgia, product descriptions, images, advertising references, and interest in or requests for the p...

I am preparing a research article on the estimation of several entropy measures for the Inverse Power Half-Logistic distribution under an Upper Record Ranked Set Sampling scheme. The work must develop Bayesian, non-Bayesian and expected Bayesian estimators, assess them through a thorough Monte-Carlo study, and demonstrate their practical value on real data. You will write the complete manuscript and supply every line of code that leads to the reported numbers and figures. My preferred workflow uses both R and Python, so feel free to split the analysis between, for example, tidyverse / rstan in R and numpy / scipy / matplotlib in Python, provided the results match. The paper should follow the structure: Abstract, Literature Review, Methodology, Conclusion, and be typeset in LaTeX (with a...

I need a seasoned content creator who can translate quantitative market analysis into short, compelling LinkedIn updates every weekday. Each post should distill the day’s key data points—price action, volume shifts, notable statistical signals, or macro indicators—into a crisp narrative that busy finance professionals can read in under a minute. Because the core goal is to provide daily market insights, I expect you to be comfortable scanning data feeds, charts, and reputable research, then turning those findings into plain-English commentary with an evidence-backed takeaway. Familiarity with Bloomberg, Python-driven charting, or similar quant tools will help you move fast and keep the voice authoritative without drifting into jargon. Your experience writing for fin...

I need assistance on an Excel spreadsheet. The tasks include repairing and adding formulas, specifically for statistical analysis, as well as fixing data formatting issues. Ideal skills and experience: - Expert in Excel - Strong background in statistical analysis - Attention to detail for formatting corrections Please provide your experience and approach to similar tasks.

Senior CRO / Experimentation expert wanted for a paid review of our A/B testing platform. Ongoing panel, US-based preferred. Personyze is a website personalization and A/B testing platform, in market for years serving B2B and ecommerce teams. We are expanding the experimentation side of the product and want senior practitioners to evaluate it properly - not a survey, a real evaluation by someone who runs testing programs for a living. You get a full test account (we provide one, or you register your own) and put the A/B testing module through what you would normally do to evaluate a tool for your own stack: build a test, set up goals and targeting, check how variants are delivered, look at how results and significance are reported, and judge whether you would trust the numbers. We want ...

I’ve built LeanProjax, a web platform that runs Lean Six Sigma projects end-to-end through DMAIC gates, with an integrated statistical toolkit (capability analysis, MSA, control charts, hypothesis testing, SIPOC, FMEA, and related tools). I’m looking for a practising Lean Six Sigma professional to use the platform against a realistic project and give me honest, critical feedback. This is a methodology and usability review, not a bug hunt and not a marketing task. What you’ll do: 1. Run a supplied demo dataset through a full DMAIC cycle in the platform (≈3–4 hours). 2. Assess whether the tool sequencing, gate structure, and terminology match how you actually run projects in the field. 3. Evaluate the statistical outputs — correctness, presentation, ...

I'm seeking an experienced freelancer to help de-AI and proofread a quality improvement initiative for my DNP project, focusing on clinical processes. Ideal candidates will have: - Proven experience in quality improvement in healthcare - Strong background in clinical processes - Ability to develop comprehensive, research-based proposals - Previous work on DNP projects or similar level Please include your relevant experience in your application.

The task is to build a clear, actionable marketing strategy centred on solid strategic planning principles and strengthened with operations-research techniques. I want one cohesive document that lays out objectives, target segments, positioning, channel mix, timelines and KPIs, while an accompanying optimisation model shows—through forecasting or linear programming—how spend and resources can be allocated for maximum return. A concise list of deliverables keeps everything transparent: • Written strategic marketing plan (Google Doc or Word) • Interactive optimisation model (Excel Solver, Python/SciPy or R) that my team can tweak • Short hand-off session or video explaining the framework Acceptance criteria: the plan must link each initiative to measurable ...

I have a raw dataset sitting in several Excel/CSV files and I need a clear, well-structured descriptive analysis of it. The core of the job is to tidy the data, explore it, and then tell the story it contains through concise statistics and intuitive visuals. Because my timeline is flexible, you can take the time you need to dig in, iterate, and present findings that are genuinely insightful rather than rushed. Here is what I’m expecting: • A cleaned, well-documented version of the original files (keep the original structure intact in a separate tab or file for reference). • Summary statistics that highlight central tendencies, variability, and any patterns worth noting. • Visualization assets—charts, heat maps, pivot-style tables, or a lightweight dashboar...

I have a dataset that’s raising more questions than answers and I need a seasoned pair of eyes to perform thorough diagnostic analysis. Using Excel for quick exploratory checks and Python (Pandas, NumPy, Matplotlib, or similar) for deeper dives, your job is to uncover the root causes behind the trends and anomalies I’m seeing, then translate those findings into clear, practical recommendations I can act on immediately. Here’s what I’m expecting: • A brief plan outlining the analytical approach you’ll take once the data is shared. • Cleaned, well-documented code/notebooks plus any supporting Excel files. • A concise report (slides or PDF) that walks through the key drivers you discovered, the evidence behind them, and suggested next steps....

I have a collection of raw scientific data that now needs a thoughtful, end-to-end analysis. The focus is purely analytical—I am not looking for basic entry work or pretty dashboards unless they directly support the final interpretation. Your job will be to explore the dataset, clean anything that could bias results, run the appropriate statistical tests or modelling techniques, and translate the findings into clear conclusions I can act on. If visualisations help tell the story, include them, but insights come first. I am comfortable with you using Python (Pandas, SciPy, scikit-learn, Matplotlib/Seaborn), R, MATLAB, or any other standard scientific stack, so feel free to work in the environment that lets you move fastest while maintaining reproducibility. Please outline briefl...

I have a collection of Excel workbooks packed with numerical data that need a careful second look. The figures feed directly into monthly reports, so even small inaccuracies throw everything off. Your sole focus will be correcting errors—things like misplaced decimals, transposed digits, or totals that don’t reconcile with the underlying rows. Duplicates and formatting quirks can stay untouched for now; accuracy comes first. You’ll receive the original files plus a brief note on the most common slip-ups I’ve spotted. I’d like the revised worksheets returned along with a short log of every change you make so I can review the adjustments easily. When you respond, show me a sample of past work that proves you’ve hunted down and fixed numerical mistakes be...

I'm looking for an expert in public health to assist with a research and analysis project. The focus area is yet to be determined, whether it's Epidemiology, Health Policy and Management, or Biostatistics. Ideal Skills and Experience: - Advanced degree in public health or related field - Strong background in research methodologies - Experience in one or more of the focus areas - Ability to analyze and interpret complex data - Excellent written and verbal communication skills Please provide relevant experience and approach in your bids.

I have a complete set of raw sales data that needs to be turned into clear, actionable insight. My single objective is to uncover seasonal trends so I can plan inventory, promotions, and staffing more effectively throughout the year. You may pull the numbers into Excel, Google Sheets, Python (pandas, matplotlib, seaborn) or R—whatever you are most comfortable with—so long as the result is easy for a non-technical stakeholder to read and reuse. SQL access to the underlying database can be provided if you prefer querying the source directly. Deliverables I expect: • A concise visual report (charts or dashboards) highlighting each seasonal swing and its magnitude. • A brief written summary that explains why the pattern appears and how confident we can be in it (inc...

I need a PowerPoint presentation for a national conference. The presentation should clearly represent my study and statistical analysis. Requirements: - Use PowerPoint format - Visual representation of study and statistical data - Adhere to my specific guidelines/template Ideal Skills and Experience: - Proficiency in PowerPoint - Experience in creating data-driven presentations - Attention to detail and ability to follow templates

I am looking for an experienced Python developer to help build a robust research and backtesting system for pre-race horse-racing trading on the exchange. I already have approximately 4 GB of historical Exchange Stream data, including .bz2 market files, together with API documentation and an initial trading hypothesis. The immediate objective is to build a technically accurate system that can: 1. Read and replay historical Exchange Stream data. 2. Reconstruct market and runner states accurately. 3. Generate fixed time-to-off market snapshots. 4. Simulate realistic back and lay orders. 5. Calculate correct gross and net profit after commission. 6. Test trading strategies using chronological out-of-sample data. 7. Produce complete and auditable trade reports. The first version will cover:...

I need detailed analysis on student data across different sections and subjects. The data is currently in Excel/CSV format. Requirements: - Analyze data section-wise with 6 subjects per section. - Provide insights on performance trends. Ideal Skills and Experience: - Proficiency in data analysis tools (e.g., Excel, Python, R) - Experience with educational data analysis - Strong analytical and visualization skills

I need a data scientist who can build a robust predictive analytics solution for a retail-focused use case. My datasets include sales transactions, product metadata, marketing campaign logs, customer reviews, and social media chatter, so you will be working with a mix of structured tables and unstructured text. Your mission is to extract the signals that drive sell-through, forecast demand at SKU and store level, and surface actionable insights for merchandising and marketing. I expect you to handle everything from data ingestion and cleaning through to model deployment, with clear documentation of assumptions and feature engineering steps. You may use Python (pandas, scikit-learn, XGBoost, Prophet, TensorFlow, or similar), SQL for warehousing, and NLP libraries such as spaCy or transfor...

I’m sharing a rich, multi-sensor environmental dataset and I want to see just how much actionable knowledge you can squeeze out of it. Your mission is to surface at least 35 meaningful KPIs and supporting metrics, lay every calculation bare, explain why each one matters to real-world decision-making, and wrap it all into both an interactive Excel dashboard and an accompanying analytical report. The dataset blends multiple environmental streams, so correlations, anomalies, quality indicators, and uncovering hidden patterns are all on the table. I will reward depth of thought far more than flash: half of the score is tied directly to the strength, originality, and relevance of the KPIs you define. Methodology and transparent maths account for another 20 %, clarity of presentation 20 %...

DISCLAIMER: AI GENERATED PROPOSALS WILL NOT BE CONSIDERED I am seeking an experienced freelancer to enhance my hotel review analysis software by expanding its data visualization and analytical capabilities. The software currently scrapes reviews from platforms like and Google Maps and performs basic sentiment analysis. I aim to improve the visualization and analysis of this data to provide deeper insights into customer sentiments and trends. Objectives: Expand the data visualization capabilities of the dashboard. Implement advanced data analysis techniques to extract meaningful insights from the review data. Enable export functionality to generate editable PDF reports of the analysis and visualizations. Core Responsibilities: Data Visualization Enhancements: Expand the existing dashb...