Statistical Analysis Jobs

I'm seeking an expert to analyze over-the-counter (OTC) stock options for profit forecasting. The analysis should focus on the following key metrics: - Volatility - Strike price - Expiration date Ideal skills and experience: - Strong background in options trading, particularly OTC options - Proficient in financial modeling and profit forecasting - Experience analyzing market volatility and its impact on options - Ability to provide clear, actionable insights based on data analysis Please include any relevant work experience in your bids.

I’m preparing a new project that calls for a seasoned eye on my raw data. The exact format of the files may range from neatly structured spreadsheets to more free-form text exports, so I’ll need someone comfortable pulling insights no matter how the information arrives.

I need a clear, independent audit of my stock-portfolio model that focuses strictly on performance evaluation—no compliance or risk review at this stage. You will dig into the historical trades, benchmark the returns, and validate the calculations behind metrics such as CAGR, Sharpe/Sortino ratios, alpha, beta, and drawdown figures. Your analysis should culminate in two concise deliverables: • A spreadsheet (Excel, Google Sheets, or Python notebook) that recreates the performance calculations step-by-step so I can trace every formula. • A short written report (PDF) that interprets the numbers, highlights any discrepancies you find, and offers recommendations to improve reporting accuracy. I already have transaction data, benchmark indices, and the original model log...

I am advancing a research project that spans mathematics, physics and closely-related disciplines and now need a senior domain expert, ideally at PhD level or beyond, to push the R&D forward. Your primary focus will be the research and development phase itself: defining the right theoretical framework, exploring cutting-edge methods, and turning those insights into a solid, publishable body of work. Here’s what I’ll count on you for: • Pinpointing current gaps in the literature and mapping how our project can fill them. • Proposing and refining models, proofs or experimental approaches that withstand peer review. • Translating complex results into clear, well-structured documentation ready for journal submission or grant proposals. While the core area i...

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I have a batch of survey responses—some come in neat, predefined fields while others are free-form paragraphs. I need every word transferred accurately into a clean, analyzable spreadsheet or database, with the structured parts preserved exactly as they appear and the open-ended comments copied in full. Once the entry is finished, I’d like a concise statistical summary of what the data can immediately tell us (frequency counts, word totals, basic descriptive insights). If you spot a smarter way to slice the information while you work, feel free to flag it; I’m open to suggestions before we finalise the numbers. Deliverables • Clean, well-labeled data file (Excel, CSV or Google Sheet) containing all textual responses • Brief statistical snapshot of the data...

I have a stack of completed paper-based surveys that first need to be digitised and then explored through solid statistical analysis. Your task begins with accurately keying every response from the paper forms into a clean, well-structured spreadsheet (Excel or CSV, whichever you prefer). Once the dataset is ready, I want to move straight into statistical analysis—means, medians, standard deviations, cross-tabs, significance testing where appropriate—so I can confidently report on the findings. I will consider the job complete when I receive: • A fully validated digital dataset that mirrors the original paper responses • A concise statistical report (tables, clear commentary, and any supporting charts) delivered in PDF or an editable format • The working fil...

I am seeking an experienced 1D/2D hydraulic flood modeller to assist with a UK planning case in Egham, Surrey, England. The work will involve obtaining and re-running the relevant Environment Agency Lower Thames hydraulic model, incorporating detailed topographical data and a more accurate representation of buildings and urban features along a short section of Egham High Street. The objective is to reassess predicted flood extent, depth, velocity, hazard and time-to-inundation along a pedestrian evacuation route and produce modelling suitable for review by the Environment Agency / UK planning authorities. A comprehensive technical information pack will be provided, including: -existing FRA -detailed topographical data -existing EA flood modelling outputs -flood warning / evacuation in...

I need my raw data transferred with 100 % accuracy into either SPSS or Stata, checked for consistency, and then summarised visually. Once the entries are validated, please generate clear, publication-ready charts and graphs in Microsoft Excel that highlight the principal descriptive statistics. Deliverables • A cleaned and fully labelled .sav or .dta file • An Excel workbook containing the charts/graphs (with underlying data tables) • A brief log of any anomalies or assumptions made during entry and validation I will supply scanned questionnaires and existing digital files. I’ll be on hand to clarify variable names, coding frames, or specific chart requirements, and I expect all shared files to remain confidential. Accuracy and an eye for detail are essenti...

# URGENT: Ophthalmology Dissertation Revision, Statistical Analysis and Examiner Corrections **Budget: USD 50 (Fixed Price)** **Deadline: 7 Calendar Days** **Payment: 30 Days After Submission, Subject to Thorough Review and Acceptance** ## 1. Project Overview I am seeking an experienced medical research writer, biostatistician, or academic editor to comprehensively revise my postgraduate ophthalmology dissertation based on a detailed examiner evaluation report. **Research Topic:** Comparison of Conjunctival Autograft Fixation Using Autologous Serum Versus Absorbable Sutures in Primary Pterygium Surgery. **Study Details:** - Study design: Ambispective comparative cohort study. - Total sample size: 56 eyes. - Autologous serum group: 28 eyes. - Absorbable suture group: 28 eyes. - Sta...

I’m gearing up for an economic project centered entirely on research. At this stage I need a specialist who can take the lead from framing clear research questions through to delivering a polished report that’s ready for stakeholders. The exact analytical angle is intentionally open—whether the study ends up leaning on qualitative interviews, quantitative datasets, or a mixed-methods blend will depend on the approach you recommend once the brief is fully explored. Please be comfortable with sourcing reputable economic data, applying appropriate statistical or thematic techniques, and translating findings into concise, decision-ready insights. Deliverables I expect: • A brief research plan outlining data sources, methodology, and timeline • Clean, we...

I’m tackling a graduate-level calculus assignment and need clear, accurate solutions that I can study from. The work is firmly in the mathematics domain—nothing introductory—so please be comfortable with advanced topics such as multivariable analysis, series, and proof-based reasoning. Here’s what I’ll provide • The complete problem set in PDF form • Any lecture notes or prior attempts that might help you see my approach so far What I need back • Step-by-step solutions written either in LaTeX or neatly formatted Word/Google Docs • Concise explanations of the reasoning behind each step so I can follow the logic, not just copy an answer • Graphs, code snippets, or numerical checks (Python/Matlab/Maple—your choice) whene...

I need a detailed CFD study of several laboratory fume cupboards that routinely handle chemicals. The sole aim is to confirm their safety and containment performance, focusing specifically on three points: preventing leakage into the room, quantifying overall containment efficiency, and assessing operator exposure risk at the sash opening. You will receive the 3-D CAD geometry, operating sash heights, fan curves and boundary condition data. From this, set up and run steady-state and, where useful, transient simulations in ANSYS Fluent, OpenFOAM, or a comparable solver. Turbulence modelling, species transport for chemical tracers, and clear visualisation of velocity vectors and concentration iso-surfaces are essential. Deliverables • Solver-ready case and data files • High-res...

I have two manuscripts—one in the medical field and one in engineering—that are approaching submission. My immediate priority is a rigorous pre-submission review that leaves journal editors with nothing to pick apart. Here is what I need from you: • Select appropriate journals for the manuscripts, especially Indian journals that have an APC of less than Rs. 40000. • A full language edit that corrects grammar, syntax, and flow without altering scientific meaning. • A critical appraisal of the research methodology to be sure study design, sampling, and statistical tests are airtight. • Verification of every table, figure, and statistical result so the data analysis stands up to peer scrutiny. • A line-by-line compliance check against the guidelin...

My doctoral thesis in oncology is finished in Chinese and now must be presented to an English-language journal. I need a seasoned translator who can move every section—background, methods, results, tables, figures and references—into publishable, idiomatic English without losing a single shade of meaning. Because the subject matter is cancer research, precision with medical terminology is critical. Terms such as staging systems, chemotherapy protocols, immunotherapy targets and statistical measures must read naturally to specialists and comply with standard usage in PubMed-indexed literature. You will work from the final Chinese manuscript (delivered in Word) and return: • A fully translated Word file that mirrors the original formatting • A short glossary of key...

Job post Senior AI / Full-Stack Engineer — Education Intelligence Product (Part-time / Project initially) I am building an AI-powered mathematics learning intelligence product for students, parents and teachers. The core intelligence/backend already exists and is being actively developed. I am looking for a strong engineer to help turn the existing system into a robust working product—not to build a chatbot wrapper from scratch. Initial scope The first phase is focused on building and polishing: - Parent/student conversational chatbot - natural multi-turn conversations - understands context and follow-up questions - grounded entirely in student records - evidence/verification behind answers - conversation persistence - Student intelligence - performance and learning...

I have a dataset that captures our customers’ interactions, purchases, and demographics, and I need a clear, well-documented analysis that turns those raw numbers into actionable insights. Your task is to explore the customer data, surface the key patterns, and explain what they mean for marketing, retention, and product decisions. The scope includes: • Cleaning and preparing the raw files (likely CSV exports from our CRM) • Running descriptive and exploratory analyses to uncover trends, anomalies, and correlations • Producing a concise written summary that highlights the most impactful findings and recommended next steps • Creating intuitive visualizations—feel free to suggest the best format, whether that ends up being charts, a compact dashboar...

I need a detailed groundwater model to assess heavy metal contamination over a regional scale. This model will be crucial for understanding the extent and impact of contamination, aiding in strategic planning and resource management. Key Requirements: - Heavy metals focus: Understand and map the distribution of heavy metals in the groundwater. - Regional scale: Develop a model that accurately represents the regional groundwater system. - Contamination assessment: Provide insights into potential sources and pathways of contamination Ideal Skills and Experience: - Expertise in groundwater modelling, particularly at a regional scale. - Experience with heavy metal contamination and its environmental impacts. - Strong analytical skills to interpret complex data and produce clear reports. - Pr...

I’m working with a raw financial dataset and I need it taken from “messy” to “decision-ready.” The core goal is to surface meaningful trends, so every step—from preparation through visualization—must support that objective. You’ll start by importing the data into Excel or a SQL environment and normalizing the fields so they’re analysis-ready. Once the structure is consistent, feel free to apply Python (Pandas, NumPy, matplotlib/seaborn) for deeper profiling and any additional quality checks you find useful. When the numbers line up, shift the focus to insight generation: uncover the key trend lines, seasonality patterns, or shifts that matter to stakeholders. The polished story should appear in Power BI: an interactive dashboard with ...

I’m refining a new biology study and need a skilled researcher to turn my broad research question into a fully-fledged, publication-ready experiment. The field is biology (I’ll brief you on the exact topic once we start), and what I’m missing is a robust experimental design that will stand up to peer review and, later, journal submission. Here’s what I’m looking for: • A clear, testable hypothesis (or set of hypotheses) based on the latest literature. • Detailed, step-by-step protocols that specify controls, sample size, replication strategy, materials, and instrumentation. • Power calculations and a basic statistical analysis plan—feel free to use R, GraphPad Prism, or any equivalent software you’re comfortable with. • A...

Sales Performance Analysis: Summary 1. Overview End-to-end data analytics project using Python, SQL, and Power BI Dataset: Superstore sales data, about 9,800 records Covers orders, customers, products, regions, and shipping Goal: turn raw sales data into clear business insights 2. Process Cleaned the data in Python (Pandas): fixed missing values, duplicates, and data types Created new features: shipping days, month, quarter, and season Explored the data with EDA in Python Queried the data with SQL to answer business questions Compared performance across regions, categories, segments, and time periods 3. Dashboard and Findings Interactive, dark-themed Power BI dashboard Filters for year, region, and category Key results: $2.26M total sales 5K orders and 793 customers West is the top reg...

I need a Power BI report that gives me a clear, interactive view of how our organisation is performing day-to-day and month-to-month. The focus is strictly on performance tracking, so the visuals should surface key KPIs, trend lines and drill-through details that let me spot bottlenecks quickly and take action. You will take the raw data I provide, model it cleanly, then design an engaging dashboard that updates automatically. Card visuals, custom tooltips, slicers and bookmarks are all welcome if they help users move from the high-level picture down to granular insights in just a few clicks. Deliverables • Finished .pbix file with all measures, relationships and visuals in place • A brief walkthrough or recording that explains how the report is structured and how to refres...

I have a sizeable collection of sales data and I want to understand exactly what it is telling me before I move on to any forecasting or optimisation work. I am therefore looking for a quantitative researcher with a solid data-science toolkit who enjoys digging into datasets and communicating clear, descriptive insights. The core of the assignment is a descriptive analysis: cleaning the raw sales tables, exploring distributions, segmenting by relevant dimensions (time, product line, geography, customer type, etc.) and turning those findings into well-structured visuals and concise commentary that a non-technical stakeholder can act on. Python or R is fine—as long as your code is reproducible and annotated—and I expect any dashboards or notebooks you build to run locally withou...

I have a collection of numerical datasets and I’d like a well-structured Python workflow that lets me explore, clean, visualise and extract clear insights from them. The scope covers everything from loading raw files through to producing a set of summary statistics, meaningful charts and a concise write-up of the findings. Quality matters more to me than speed, so feel free to propose thoughtful approaches—whether it’s a classic pandas / NumPy pipeline, more advanced SciPy techniques or even light machine-learning models if they add value. I’ll supply the data and clarify any domain specifics once we start. Deliverables I expect: • Fully commented Python code (Jupyter Notebook or .py) • Cleaned dataset ready for future work • Visualisation...

I will be sharing a clean set of sales data and need a focused analysis that uncovers two things: how our monthly sales are growing over time and which products are truly driving (or dragging) that growth. The work should culminate in clear findings I can present directly to leadership—concise insights, supporting charts, and any key metrics you calculate along the way. Feel free to lean on Python (pandas, matplotlib / seaborn), R, Excel Power Query, or a BI tool such as Tableau or Power BI if it speeds your workflow; the choice is yours as long as the results are reproducible and easy to follow. Deliverables • A brief written summary of monthly sales growth and product-level performance, highlighting notable spikes, dips, and emerging patterns. • Visualizations (li...

I’m looking for reliable help on a data-analysis assignment that leans heavily on solid technical skills. The task revolves around cleaning, exploring, and drawing clear insights from raw datasets so I can turn them into meaningful, decision-ready findings. If you routinely work in Python (Pandas, NumPy, Matplotlib, or Seaborn) or R, and you’re comfortable building concise reports or dashboards, you’ll feel right at home with what I have in mind. Your workflow should include transparent documentation of the steps you take so I can replicate or extend the analysis later. When you send your proposal, put your experience front and center—briefly outline similar projects you’ve handled, the tools you used, and the measurable outcomes you achieved. That context w...

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...

Saya membutuhkan individu yang bersedia mengisi sebuah survei berformat pilihan ganda. Survei ini ditujukan khusus untuk pelanggan umum dan tujuan utamanya sederhana: Anda akan mendapatkan bayaran atas partisipasi yang lengkap dan jujur. Detail tugas: • Menjawab seluruh pertanyaan pilihan ganda yang tersedia. • Menyelesaikan survei dalam satu kali sesi tanpa melewati pertanyaan apa pun. • Memastikan jawaban merefleksikan pengalaman serta pendapat pribadi secara akurat. Setelah survei selesai, kirimkan bukti tangkapan layar halaman konfirmasi sebagai tanda bahwa seluruh proses telah tuntas. Saya akan segera memproses pembayaran begitu verifikasi diterima. Silakan ajukan diri bila Anda siap berpartisipasi dan memenuhi kriteria sebagai pelanggan umum.

Saya sedang mengeksplorasi sebuah ide bisnis baru dan membutuhkan riset pasar yang solid sebelum melangkah lebih jauh. Fokus utama saya adalah memahami: • Ukuran dan pertumbuhan pasar yang relevan • Segmentasi serta profil pelanggan potensial • Peta persaingan—pemain utama, proposisi nilai, keunggulan dan kelemahan mereka • Tren industri serta peluang niche yang belum tergarap • Risiko pasar dan hambatan masuk Hasil akhir yang saya perlukan mencakup: 1. Ringkasan eksekutif (maks. 2 halaman) yang merangkum temuan kunci. 2. Laporan riset lengkap berisi data kuantitatif dan kualitatif, grafik atau tabel pendukung, dan sumber referensi terverifikasi. 3. Rekomendasi praktis tentang langkah selanjutnya—misalnya segmen mana yang paling menjan...

Je cherche un soutien pour accomplir une tâche créative : transformer nos données marketing brutes en enseignements clairs et inspirants. Ma priorité est l’analyse de données ; je fournis les exports (CSV ou Excel) issus de nos campagnes e-mail, réseaux sociaux et publicités payantes. Je souhaite : • un nettoyage rapide des datasets pour éliminer doublons et valeurs aberrantes, • des visualisations percutantes (tableaux de bord, graphiques interactifs ou infographies) capables de raconter l’histoire derrière les chiffres, • une synthèse écrite mettant en avant les KPI clés, les tendances remarquables et des pistes d’optimisation créatives pour nos prochaines a...