Análisis estadístico Jobs

I am looking for a woman aged 50 or older who enjoys turning raw numbers into clear, decision-ready information. The assignment is fully remote and can be handled on a flexible schedule. You will receive a mixed business dataset as soon as we begin. I will confirm the exact scope together with you, but in broad strokes the work involves: • exploring the files for inconsistencies or gaps • cleaning and organising the fields so everything lines up correctly • running a focused analysis that highlights the most meaningful patterns • presenting the findings in a concise write-up with supporting charts (Excel, Google Sheets, or your preferred Python/R workflow are all fine) Once the report and the cleaned dataset pass a quick cross-check for accuracy and reproducibi...

I need a Microsoft SQL Server specialist who can take stacks of paper‐based records, design the appropriate tables, and manually key every field into a clean, well-structured database. Once the information is in place, I want meaningful statistical insight extracted—basic descriptive stats, variance and correlation figures, and any notable outliers that should be flagged. To succeed you will be comfortable with SQL Server Management Studio and T-SQL for schema design, indexing and data validation rules that prevent transcription errors. After entry, apply your preferred statistics toolkit (native SQL functions or an external package you connect to the database) to run the agreed analyses and return concise results. Deliverables • Normalised SQL Server database with all paper...

I will hand over a structured set of operational data and need it examined in Excel to uncover any underlying trends. My focus is purely on trend identification rather than forecasting or broad statistical modelling, so pivot-tables, slicers, conditional formatting, and clear charts are the tools of choice. The deliverable I’m looking for is an Excel workbook that: • Transforms the raw operational figures into tidy, well-labeled tables • Highlights notable upward or downward movements across time, location, or process step • Presents those insights through easily digestible visuals—think line graphs, heat maps, sparklines, or similar—so stakeholders can spot the patterns at a glance • Includes a short summary sheet that calls out the key takeaw...

I need urgent academic editing and revision support for my final MRes Speech & Language Science dissertation from a UK university. My research is in paediatric voice assessment, comparing children with Vocal Fold Nodules (VFN), children following Laryngotracheal Reconstruction (LTR), and typically developing children. The dissertation, research, methodology, statistical analysis and results are already completed. I have received detailed final feedback from my supervisors and need an experienced academic editor/researcher to help me address these comments. I am specifically looking for someone with a PhD or strong research background in Speech and Language Therapy/Science, Audiology, Voice, Allied Health/Paramedical Sciences, Healthcare or a closely related field. The work involves ad...

I’m searching for a patient, knowledgeable tutor who can meet my 7th- to 8th-grade learner face-to-face on a regular basis. The immediate goal is to turn nightly homework into a stress-free routine while building deeper confidence in three core areas: Algebra, Geometry, and Probability & Statistics. Here’s what I have in mind: • Meet locally for 60- to 90-minute sessions, two or three times a week, at a mutually convenient public location (library or similar). • Work through current assignments first, then circle back to reinforce any shaky concepts with fresh practice problems. • Break down abstract ideas—like variable manipulation, angle relationships, or data interpretation—into concrete examples the student can explain back to you. &bu...

Feedback from Professor, Thank you for sending me the revised version of your thesis. I have now reviewed Chapters 3, 4 and 5 and added my comments directly to the document. Overall, the empirical analysis is well structured and the main results are clearly presented. However, before preparing the final version, there is one point that I consider particularly important and that I would like you to address carefully. Since your research question explicitly compares the explanatory role of commodity prices with that of global financial conditions, you need to provide a more rigorous basis for this comparison. In particular, please report standardized beta coefficients for the regressors. At present, some statements about the US dollar index being the “strongest” variable appear t...

Hi, I’m looking for someone who can work with me on the solar Line expansion project. The role would involve supporting me I. Production readiness, tracking open items, identifying potential issues, and coordinating with the different teams. Would you be interested in working with me on this project?

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I need you to complete the attached Excel file **“APF – Organisation Data Sheet FY 2026–27”** for organisation. Your responsibility is to complete the entire workbook accurately and make it **submission-ready**. Please do not just enter whatever information is readily available—review the instructions in the workbook, identify the information/documents required, collect the missing details from the organisation's records, and complete all applicable sections. ### Scope of Work Please review and complete the following tabs: 1. **Org Profile & Documents** * Verify and complete the organisation profile. * Complete all required organisation details. * Review the complete list of required documents. * Mark whether each document has been up...

I’m getting ready for interviews that revolve around Power BI, advanced Excel work, and the specific challenges that come with Logistics data. My current Power BI skill level is solidly intermediate, so I don’t need a ground-up tutorial—I need someone who can push me to the next level, tighten any weak spots, and simulate the kinds of questions and practical tasks recruiters will throw at me. Here’s what I’m looking for: • Focus areas: deep-dive Power BI functionalities (DAX optimisation, data modeling, interactive visuals, and performance tuning), Excel advanced features (Power Query, complex formulas, VBA/macros if relevant), and end-to-end Logistics data analysis scenarios (inventory turns, route optimisation, freight cost KPIs, OTIF calculations). ...

I need a thorough, data-driven look at current and emerging market trends on a global scale. The focus is squarely on trend intelligence rather than competitor profiles or customer demographic deep-dives, so the work should zero in on where the market is heading, why it is moving that way, and what quantifiable signals back those movements. You’ll gather fresh, reputable data (industry reports, financial filings, public datasets, credible news feeds, etc.), analyse it, and turn the findings into a concise, decision-ready package. I’m most interested in clear patterns: growth rates, technology shifts, regulatory changes, and consumer behaviour indicators that could shape strategy over the next 12–24 months. Deliverables • A well-structured spreadsheet (Excel or Go...

I need a concise yet in-depth fundamental analysis covering the financial health behind several major cryptocurrencies. Rather than chart patterns, I want the spotlight on company or project financials—treasury size, cash-flow sources, burn rate, token distribution schedules, revenue models, and any audit-verified reserves that could affect long-term price stability. Your report should: • Examine at least the top two coins by market cap plus any additional assets you believe merit attention. • Draw on on-chain data, quarterly disclosures, tokenomics documents, and reputable third-party audits. • Highlight red flags as well as sustainable growth signals, backing each point with verifiable data and citations. A clear executive summary, data tables, and a shor...

I am building a small learning project for my Diploma in ICT and need a clear, well-commented Python solution that reads a JSON dataset, performs descriptive statistics, and presents the results in a way a newcomer can understand. Here is what I have in mind: • The script should load a supplied JSON file, validate its structure, and extract numerical fields automatically. • Compute key descriptive measures such as count, mean, median, mode, min-max range, standard deviation, and any other basic metrics that add insight. • Display the findings in a tidy console table; a simple Matplotlib or Seaborn histogram for at least one variable would be a plus but not mandatory. • Keep everything beginner-friendly: straightforward function names, docstrings, and inline c...

I'm seeking a specialist to conduct comprehensive market research focusing on industry trends. The insights will be critical for strategic decision-making. Key Requirements: - Detailed analysis of current and emerging trends - Insights on key players and market dynamics - Comprehensive reporting with actionable insights Ideal Skills and Experience: - Expertise in market research methodologies - Strong analytical skills - Experience in delivering high-quality research reports - Familiarity with the technology, healthcare, or finance industries

I need a rigorous data validation step followed by a full cluster analysis carried out in Python and then faithfully replicated in SPSS so I can present the results in either environment without discrepancies. After the statistical work, I also have a 15-page background document that must be distilled into a clear 6- to 8-page English summary that captures its key arguments and findings. Deliverables • Data validation report confirming integrity of the supplied CSV files • Equivalent SPSS syntax/output reproducing the same clusters and statistics • Comparison note showing any differences between the two packages (if any) and how they were resolved • 6–8 page English summary of the provided 13-page text, written in a concise academic style Acceptance cr...

I need a persuasive essay aimed at policymakers advocating for stricter regulations on vaping products. The essay should comprehensively cover the following aspects: - Health Risks: Detail the health implications of vaping, supported by current research and statistics. - Youth Access: Discuss how current regulations fail to prevent youth access and the long-term consequences of this. - Product Marketing: Analyze the marketing strategies used by vaping companies and how they target vulnerable populations, particularly the youth. The essay should be well-structured, compelling, and backed by credible sources. Ideal skills and experience include: - Strong persuasive writing skills - Experience writing for a policy-making audience - Knowledge of public health and marketing strategies - Abil...

I need an operations management report formatted according to specific requirements. The report must be AI-generated and plagiarism-free, with the following elements: Statistical Analysis Theoretical Framework Ideal Skills and Experience: - Expertise in operations management - Proficiency in statistical analysis - Familiarity with theoretical frameworks in the field - Strong command of academic writing and formatting Please ensure the final document meets academic integrity standards and is free of plagiarism.

AI-Based Football Video Analytics – Research Project I’m looking for an AI/ML + Computer Vision developer/researcher to develop an experimental research prototype + research paper on: “AI-Based Low-Cost Video Analytics System for Assisting Grassroots Football Talent Identification.” Project Scope I already have football video footage. The goal is to build a research-level prototype, not a commercial application. Workflow: Football Video → Preprocessing → Player Detection (YOLO) → Player Tracking (ByteTrack/BoT-SORT) → Movement/Position Analysis → Feature Extraction → Player Performance Metrics → Analytical Player Profile Possible metrics include distance, estimated speed, movement intensity, trajectories, field/zone coverage,...

I have a corpus of plain text that needs to be explored through topic modeling. The job is strictly data analysis: no data entry or cleaning tasks are required beyond the usual NLP-oriented preprocessing steps. What I expect you to do • Pre-process the text (tokenisation, stop-word removal, lemmatisation, n-grams as needed). • Build and tune one or more unsupervised models—LDA, NMF or any well-justified alternative—for coherent topic extraction. • Interpret each topic with clear keyword lists and, where helpful, short example snippets. • Provide reproducible Python code (Jupyter notebook or .py script) plus a brief write-up of methodology, parameter choices and results. Acceptance criteria • Code runs end-to-end on my machine without missi...

I’m sitting on a full month of population-wide nutritional values and intake data from March 2023 and need it turned into a clear, actionable picture of how balanced (or unbalanced) our diet really is. Your task is to interrogate the numbers, benchmark them against recognised dietary reference intakes, and explain—through both visuals and narrative—where the major excesses and deficiencies lie. You’ll start by cleaning and structuring the raw dataset, then run an in-depth macro- and micronutrient breakdown. I’d like to see comparative charts, heat-maps, or dashboards that instantly show how the average intake stacks up against guidelines. Evidence-based recommendations should follow, offering practical steps to nudge the population toward a healthier balance....

Title: CWatM + MODFLOW 6 Hydrologist for Surface Water–Groundwater Modeling Job Description: I am looking for a hydrologist / groundwater modeler with experience in CWatM, MODFLOW 6, FloPy/Python, or coupled surface water–groundwater modeling. The study area is the North China Plain, with a simulation period of 2000–2024. Main work includes: - Surface-water modeling using CWatM - Groundwater modeling using MODFLOW - Surface water–groundwater coupling and grid alignment - Representation of the main aquifer groups of the North China Plain - Water withdrawal and water-use representation - Representation of major water-transfer systems, reservoirs, diversion points, pumping stations, and receiving areas/users - A Python-based water allocation / scheduling component...

I have several papers ready for publication, but I believe their quality needs improvement because they were rejected by Scopus-indexed journals. I am looking to collaborate with a co-author who can help refine these papers. In return, I am offering financial compensation. If you are interested in becoming a co-author and earning compensation, please let me know. I would also like to know if you have a Google Scholar or ResearchGate account so we can coordinate our collaboration

A new landing page aimed squarely at fellow actuaries is ready for a final, professional once-over. The page’s purpose is to promote an Excel addin, so every word must resonate with actuarial readers while clearly communicating value. The task centres on three things: first, does the language and lingo feel authentic to everyday actuarial practice; second, is the message easy to follow for someone versed in Excel and actuarial modeling and has experience working aa an actuary; and third, after reading, would an actuary immediately grasp how the product helps them? Please walk through the page as you would any technical communication, noting jargon that lands or misses, passages that could confuse, and points where tangible benefits should be sharpened. I welcome marginal notes, tra...

I have a raw customer dataset and I need a predictive model that can automatically segment these customers into actionable groups. The job begins with cleaning and preparing the data, moves on to feature engineering, and culminates in training and validating a segmentation model in Python—ideally using pandas, scikit-learn (or similar), and clear visual output via matplotlib or seaborn. What matters most is accuracy and interpretability. I want to understand which features drive each segment, so well-commented code, concise documentation, and an executive-level summary of insights are essential. Final deliverables should include: • A reproducible Python script or notebook • The trained model (saved or easily retrainable) • A brief report highlighting key segments...

My aim is to develop a Machine Learning algorithm that can predict the top 4 finishers in horse, harness, and greyhound racing. Unfortunately, I do not have any historical data available for training the algorithm, so I will need a freelancer who has the expertise to build this from scratch. Ideal Skills and Experience: - Extensive knowledge and experience in Machine Learning. - Familiarity with racing dynamics, particularly horse, harness, and greyhound racing. - Ability to create synthetic data for algorithm training. - Prior experience in developing predictive algorithms. - Strong statistical analysis skills.

JOB: Computational Biologist / ML Engineer - Brain-Specific Neoantigen Prediction Tool PROJECT OVERVIEW: I am building a brain-specific neoantigen prediction tool for mRNA/LNP/PNA therapeutics. The goal is to predict which mutated peptides (neoantigens) are most likely to be presented by HLA in brain metastasis and trigger an immune response. This is a 7-stage pipeline with a defined step list. WHAT YOU WILL BUILD: Stage 1 - Data Sourcing - Search and download brain metastasis MS immunopeptidomics data from CPTAC, SysteMHC, GEO, PRIDE - Download TCGA primary tumour WES/RNA-seq (20 samples) - Download BrainMetShare brain metastasis WES/RNA-seq (20 samples) - Download GTEx normal brain expression, AFND HLA frequencies, IEDB self-antigens - Record sample metadata (source, cancer type, ance...

I need a comprehensive assessment of rivercane vegetation after Hurricane Helene. The assessment will focus on: - Root structure integrity - Stem flexibility and strength - Overall plant anchoring in soil - Contribution to stream stability - Persistence through high water events Ideal Skills and Experience: - Background in botany or ecology - Experience with plant stability assessments - Knowledge of river systems and their dynamics - Ability to provide detailed, professional reports Please include any relevant experience in your bid. MUST HAVE PhD in Biology

My manuscript on temperature prediction with a Bidirectional LSTM has been returned from a journal with a “major revision” decision. I want to submit a polished, fully compliant revision that answers every reviewer comment and tightens both the science and the prose. The current file is in Word, so all editing should be done with Track Changes enabled. I will supply the reviewers’ reports, original figures, datasets, and any code snippets you may need to replicate or clarify results. Here is what I expect: • A carefully rewritten Word document that integrates the reviewers’ suggestions while preserving my voice and technical accuracy. • Clear explanations—inserted as comments—showing where and how each reviewer point was addressed. &bul...

I am compiling evidence on how exposure to a traumatic call influences suicide rates among EMS personnel—ground crews as well as HEMS—and whether access to Critical Incident Stress Management (CISM) programs changes those outcomes. The work must rely exclusively on peer-reviewed journal literature drawn from U.S. studies. What I need from you • A minimum of five full-text, peer-reviewed articles published in U.S. journals that examine all three elements: (1) suicide or suicidal ideation among EMS providers after a traumatic incident, (2) documented CISM or the absence of it, and (3) any statistical link between trauma exposure of a colleague and increased suicide risk. • PDF copies (or permanent DOI links if the PDF is pay-walled) plus complete citations in APA 7...

Episode Prep & Outlines: Create 2–3 structured show briefs per week (15–30 minute episode depth). Deep-Dive Data & Stats: Research player stats, injury updates, film breakdown notes, recruitment updates, and opponent previews. Talking Points & Prompts: Draft clear talking points rather than word-for-word scripts—organizing information into hooks, core topics, statistical support, and host opinion prompts. - [ ] News Tracking: Monitor SEC news, press conferences, transfer portal developments, and game-day takeaways to pitch timely angles within 12–24 hours of breaking news. Deep familiarity with LSU Tigers athletics, SEC football storylines, roster movement, and recruiting. - [ ] Fast turnaround time (able to deliver a brief within 24 hours of game c...

I have completed an initial data-extraction run for a meta-analysis that covers 20 published studies and 14 predefined questions per study. Before I proceed to analysis, I want a medically trained eye to double-check every field. The task is purely verification and double re extraction if required. full articles are available . Scope • Quantitative material sits in structured database entries (one record per study, 20 variables per record). • Qualitative answers are stored in accompanying text documents. • Both sets must be cross-checked against the original articles to confirm accuracy, completeness, and consistency. What you’ll do 1. Open the database, review each numeric and coded field against its source, and flag or correct any mismatch. 2. Read the l...

I am looking for an experienced Python and Machine Learning developer to build an AI-based bias correction model for WRF 2-meter temperature (T2m) forecasts. Historical data will include WRF forecasts and observed temperatures from weather stations . The goal is to train a model to predict forecast bias and produce corrected temperature forecasts.

I am ready to commission a full-length, original research manuscript in artificial intelligence / machine learning that is suitable for submission to a Scopus-indexed, SCI-listed journal. At this stage I have no fixed problem statement, so I will rely on you to help shape a strong, publishable research question, design the methodology, run the experiments, and craft the paper end-to-end. Note : Apply only if you have a good publication record. Key deliverables • 2-3 complete manuscript (abstract through references) ready for journal submission • All code, datasets or preprocessing scripts required to reproduce the results • A concise response letter template explaining originality, significance and potential reviewer concerns Acceptance criteria will be clarity ...

I have a sizeable set of sales transactions exported directly from my e-commerce platform and I need a clear, insight-driven analysis that helps me understand the market forces reflected in those numbers. Your task is to dive into this raw sales data, clean and structure it, then surface trends that answer key market research questions: What products or categories are gaining momentum, which customer segments are buying when and why, and how do seasonal or promotional events shift demand? I would like the final work delivered as: • A cleaned, well-documented dataset (CSV or database table) that I can reuse. • A concise written report highlighting the main findings, supported by visuals. • Interactive dashboards (Tableau, Power BI, or similar) so I can explore the trends...

I need you to complete the attached Excel file **“APF – Organisation Data Sheet FY 2026–27”** for organisation. Your responsibility is to complete the entire workbook accurately and make it **submission-ready**. Please do not just enter whatever information is readily available—review the instructions in the workbook, identify the information/documents required, collect the missing details from the organisation's records, and complete all applicable sections. ### Scope of Work Please review and complete the following tabs: 1. **Org Profile & Documents** * Verify and complete the organisation profile. * Complete all required organisation details. * Review the complete list of required documents. * Mark whether each document has been up...

I’m finalising a macroeconomics research paper centred on the relationship between unemployment and inflation, and I need a fresh, expert set of eyes to turn my current draft into a journal-ready manuscript. Your task is to shape the argument so it flows logically, tighten the language, integrate recent literature where gaps appear, and ensure every citation, table, and figure meets academic standards. You’ll be working with a complete first draft (about 7,000 words), my compiled bibliography, and the dataset already analysed. I’m looking for clear, concise prose that still captures the technical depth expected in graduate-level macroeconomics—think Phillips curve debates, expectations-augmented models, and recent post-pandemic labour-market studies. Deliverables ...

The statistical groundwork is finished: 106,000+ football matches and more than 48 million individual odds movements are already structured, cleaned, and sitting in Python-ready data stores. What I need now is a fresh layer of intelligence that can group the patterns and pick up on the regime shifts as they occur —specifically, to surface the hidden structures that govern betting-market behaviour. This regime detection will challenge you immmensely but also matering it can provide enormous opportunity - are brave enough and smart enough to challenge the status quo?We have all the ground work laid and there is no statistical obvious deviation that favors the bet placer ONLY the BOOKIE over 106K of matches - and recent one months anlaysis - there is no ground work to be done only for y...

I'm seeking an expert to help with a research paper on AI/ML in healthcare to get published in IEEE conference as well as reputed journals Key requirements: - In-depth knowledge of AI/ML, especially in predictive analytics. - Experience with healthcare datasets, particularly patient medical records. - Strong research and writing skills. Ideal skills include: - Good research profile. - - Ability to present complex ideas clearly and concisely.

I'm looking for an expert to identify, backtest, and forward test profitable trading strategies in the interest rate futures goal is to pass and beat prop firms and result in payouts. Key Tasks: - Develop strategies in trend following, mean reversion, and arbitrage. - Backtest and forward test the strategies. - Provide comprehensive performance reports. Ideal Skills and Experience: - Strong background in futures trading, especially interest rate futures. - Proven track record in developing and testing trading strategies. - Proficient in trading platforms and backtesting software. - Ability to analyze and interpret market data effectively.

I need help translating Excel data sheets into descriptive statistics for publication. Requirements: - Perform descriptive statistics analysis - Present results in a written summary Ideal skills and experience: - Proficiency in Excel and statistical analysis - Experience with academic or professional publication standards - Strong writing skills for clear, concise summaries Please showcase relevant experience in your application.

Post a table and a graph for: Real GDP and Nominal GDP together so you can visualize the difference and the trend. Describe the trend. For example: GDP increased all years, GDP grew more during the first n years and then dropped...? If there are important dips in GDP provide a possible reason. Real GDP Growth. Describe the trend. Did the economy experienced a recession? Which year(s)? Gini Coefficient. Describe the graph: income distribution got better/worse/same? provide a possible reason. Remember a lower GINI coefficient represents a better/ more equal income distribution. Nominal GNP and Nominal GDP. Compare GNP to GDP: is GNP larger/ smaller/ same as GDP? If different, why do have different values for the same country? National Income. Include all components (Wages, Interest, Rent, Pr...

$10 project max. This can be finished in a few hours max. I need someone to work fast. Title: Speed Optimization and Completion of Forex Non-Print Quant Research Program I have an existing Windows-based, three-part quantitative research program designed to discover and validate trading strategies for OANDA forex markets. The program is functional, but its historical tick-data backfill is too slow and produces excessive timeout and service-error messages. I need an experienced Python, market-data, and quantitative-research developer to optimize and complete the existing program. I am not requesting a rebuild from scratch. The program uses historical BID and ASK tick data to derive Non-Print events and Line Break market structures. I want it to collect as much legitimate historical data ...

I am building a panel dataset of 450 non-financial European companies covering the fiscal years 2019 through 2025. The universe should be drawn exclusively from Refinitiv Eikon or Bloomberg terminals and limited to three sectors: Technology, Healthcare, and Consumer Goods. The core of the job is to pull three financial performance indicators for every firm–Revenue, Net Income, and EBITDA–together with essential identifiers (company name, ISIN, ticker, country, and sector classification). Because the focus is strictly “non-financial,” please exclude banks, insurance companies, and other financial services entities. Preferred format is a clean, well-labeled Excel or CSV file that I can import straight into Stata/R. Please include column headers, year stamps, and y...

We are looking for knowledgeable medical professionals, researchers, or advanced medical students to provide clear, constructive, and budget-friendly peer reviews for upcoming medical journal articles. The ideal candidates will evaluate the scientific merit, methodology, clarity, and overall structure of our submitted papers. Key Responsibilities Evaluate Content: Assess the scientific accuracy, methodology, and relevance of the manuscript. Identify Weaknesses: Highlight data gaps, logical flaws, or unbacked conclusions. Check Formatting: Verify that citations, tables, and figures are clear and accurate. Provide Feedback: Write a structured summary of improvements needed for publication. Required Qualifications Medical Background: Degree or ongoing advanced studies in Medicine, Public H...

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...