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I'm a Chartered Management Accountant (CMA) and Associate member of Public Finance Accountant (APFA) with 7+ years of experience in financial modeling, business analysis, and valuation. I have delivered 250+ investor-ready financial models and business plans for startups, corporates, and government-related projects across SaaS, tech, e-commerce, and service sectors. Core expertise: • 3–5 year financial models, forecasts, and budgets • Valuations (DCF, comparable, transaction multiples) • Business analysis and KPI-driven performance insights • Due diligence for business sales, mergers, and acquisitions • Public finance reporting, compliance, and analysis • Investor-ready business plans, pitch decks, and feasibility studies I help founders, executives, investors, and buyers make informed financial decisions, whether raising funding, evaluating risks, or completing a successful business sale or purchase. My work combines technical financial accuracy with strategic insight, ensuring clarity, credibility, and results.

I help researchers, academics, and businesses turn complex data into clear, defensible insights. With 9+ years of full-time freelance experience and a Top Rated Plus badge, I specialize in both quantitative and qualitative research — from survey design and structural equation modelling (AMOS, Smart PLS) to thematic analysis and systematic reviews (NVivo, MAXQDA, Atlas.ti, Python). Whether you need a dissertation analysis completed to a tight deadline, a market research report with actionable findings, or a research proposal built from scratch, I deliver work that is methodologically rigorous, clearly written, and ready to submit or present. What I can help you with: 1. Quantitative Analysis — Regression, SEM, factor analysis, time-series, and econometrics using SPSS, STATA, AMOS, Smart PLS, JASP, GRETL, E-Views, R, Python, and Minitab. 2. Qualitative Analysis — Thematic coding, content analysis, and systematic reviews using NVivo, MAXQDA, Atlas.ti, QDA Miner, WordStat, and Quirkos. 3. Survey Design and Analysis — Questionnaire design, validation (Cronbach's alpha, CFA), and advanced survey analytics. 4. Research Methodology and Proposals — Crafting robust research designs, justifying methods, and ensuring academic rigour and feasibility. 5. Business and Market Research — Competitive analysis, market sizing, and insight reports with clear, actionable recommendations. 6. Statistical Reporting — Comprehensive written reports interpreting results for both academic and non-academic audiences. 7. Literature Reviews — Synthesising existing research to map the current state of knowledge in your field, including meta analysis. 8. Proofreading and Editing — Dissertations, research papers, and reports edited to academic standards (APA, Harvard, MLA). I work with clients across social sciences, marketing, finance, economics, healthcare, and education. My goal is not just to run the analysis — it is to make sure you understand the findings and can confidently present or submit them. Feel free to reach out with any questions or project details. I am here to help.

I have experience in econometrics, biostatistics, statistical analysis, and forecasting. I've worked with PhD researchers scrambling before their defense, policy teams who needed econometric data analysis that could survive a room full of critics, and healthcare professionals whose clinical data analysis had to meet journal standards before submission. In every case, the goal was the same: to get the data analysis right, explain it clearly, and make sure it holds up. ⤷ 5+ years of experience ⤷ Top-rated Data Analyst on Upwork ⤷ 50+ completed data analysis projects ⤷ 100% Job Success Score ⤷ Certified: Data Visualization with R (IBM) | R for Data Science (IBM) | Google Analytics Here's what I've learned after five years of data analysis work: Most projects don't fail because of bad data. They fail because the wrong question was asked, the wrong model was chosen, or the assumptions were never checked. That's the gap I close. Before I run a single test, I make sure I understand your research question, your dataset, and what your results actually need to prove. What I do for you I handle the full data analysis process, from messy raw data to clean, documented, and publication-ready results. For researchers and students working on dissertations, I support the entire process, starting from research design and data preparation, moving through model selection and statistical analysis, and finishing with results interpretation written in language your committee will actually accept. Whether your study calls for regression analysis, hypothesis testing, or a more advanced econometric approach, I make sure every methodological decision is justified and clearly explained. For economists, policy researchers, and development teams, I bring rigorous econometrics to problems that demand more than basic statistical analysis. Program evaluation, causal inference, and policy impact work require models that hold up under scrutiny. I build those models using OLS, instrumental variables, difference-in-differences, panel data methods with fixed and random effects, and time series approaches including ARIMA, VAR, and cointegration testing. The econometrics I apply is always matched to your specific research question, not applied as a default. For healthcare professionals and clinical researchers, I translate complex health data into statistical analysis that meets publication standards. Survival analysis, Cox regression, Kaplan-Meier estimation, longitudinal data analysis, and multilevel modeling are tools I use regularly on clinical and public health datasets. I understand the standards peer reviewers apply, and I build the statistical analysis with those expectations in mind from day one. For businesses and financial teams, I provide data analysis that connects numbers to decisions. Predictive modeling, financial forecasting, and regression analysis help you understand what is driving your outcomes and where things are likely to go. I go beyond surface-level reporting and deliver statistical analysis that your leadership can actually act on. Every engagement is delivered with fully reproducible and well-documented code in R, Stata, Python, or SPSS. That means your results can be verified, your methodology can be defended, and your analysis can be built upon as your project evolves. Have a dataset, a deadline, or a research question you are not sure how to approach? Message me now. I respond within a few hours; I will tell you honestly whether I can help, and if I can, I will tell you exactly how. No vague proposals, no wasted time, just a clear plan for getting your data analysis done right.

I'm a data analyst with 5+ years of professional data experience. I am statistical consultant/data scientist. For a fixed fee I provide my clients with unlimited support, clear explanations, well-documented code, and actionable insights. I have experienced in carrying out data analysis and visualization using and google sheets, Ms Excel, Google Data Studio and very good at summarizing data on google sheets using pivot tables; producing useful time series analysis charts that would help sales teams make the right decisions on the position of their business. My services include: ✅ Data analysis/data science/predictive modeling for business and research purposes using methods from data mining, machine learning, econometrics and statistics (including, but not limited to, medical statistics, biostatistics, epidemiological statistics, and neuroscience data analysis) ✅ Simulation and Forecasting ✅ Developing Shiny Apps for data science/business analytics ✅ Causal inference (propensity score matching, regression discontinuity design (RDD), difference-in-difference (DID) estimation, event studies) ✅ Quantitative market research data analysis (including CHAID, CART, conjoint analysis, regression analysis, ANOVA, multilevel modeling, Van Westerndorp's Price Sensitivity Meter (PSM), Market Basket Analysis, attribution modeling, marketing mix modeling, and other advanced techniques) ✅ Statistical consulting/tutoring on using R, Stata, SPSS, EViews, Statistica, and Excel Please, feel free to contact me ✅ AutoCAD, Candance, Matlab, Stata, RapidMiner MATLAB, LabVIEW, Microsoft Visual Studio, Wireshark, Microsoft Office

I help short-term rental operators and property managers capture more revenue by diagnosing where their listings actually stand not against broad market averages, but against their true competitive set. Every analysis I run is segment-controlled: same bedroom count, same property type, same neighborhood. The diagnosis comes before the pricing adjustment. PriceLabs setup, audit, and optimization across 26 listings. Comp set calibration, base price anchoring, minimum stay strategy, and event-driven pricing configured against real segment data, not default settings. Listing optimization based on title and description analysis across 250+ Airbnb listings in 5 markets. Only 5.6% had a strong SEO foundation. The most common gaps were keyword coverage (67%), title clarity (63%), and location signal (59%) features present but not communicated to the guest. Revenue diagnostics separating pricing problems from demand-capture problems. In my analysis of 2,262 London 3BR listings, 42% were undercapturing demand relative to what their price position should support. The issue was rarely price alone check-in experience, communication, and value perception were stronger occupancy drivers than ADR. Research foundation: 60,000+ Airbnb listings analyzed across 7 markets and 3 countries (Austin, Nashville, New Orleans, Montreal, Quebec City, London, Sydney). Multi-market pricing corridor analysis, demand leakage diagnostics, review-language trajectory modeling, and listing recovery analysis. Tools: PriceLabs, Hostaway, OwnerRez. Familiar with Guesty, Hospitable, Hostfully. Python, LightGBM, XGBoost, CatBoost, NLP, SQL. Background: MPhil in Mathematics, 10+ years teaching university-level Mathematics and Statistics, 5+ years applied data science. Top Rated on Upwork, 100% Job Success Score. Available UK and US business hours for STR revenue consulting, listing optimization, pricing strategy, and market research.

Ph.D. Scholar in Econometrics with strong expertise in econometric theory, advanced statistical modeling, and quantitative research in economics, Finance, and Business. Experienced in applying econometric techniques, causal inference methods, forecasting models, and data-driven analytics to address complex economic and business challenges. I help researchers, businesses, and policymakers turn complex data into actionable insights through advanced econometric modeling, statistical analysis, and quantitative research. My work goes beyond data analysis—I focus on selecting appropriate methodologies, validating assumptions, ensuring analytical rigor, and delivering reliable results for academic research, policy analysis, business intelligence, and strategic decision-making. I provide reproducible analyses, clear interpretations, and publication-ready reports that meet professional and academic standards. Most research and business challenges are not solved by applying more statistical tests—they are solved by asking the right research questions and selecting the right analytical framework. That's where I add value. As a Ph.D. Scholar in Econometrics and university lecturer, I help researchers, businesses, development organizations, and policymakers transform complex data into actionable insights through rigorous econometric analysis, statistical modeling, and evidence-based research. ⤷ Ph.D. Scholar in Econometrics ⤷ University Lecturer & Researcher ⤷ Extensive Experience in Economic, Business & Policy Research ⤷ Advanced Expertise in STATA, R, SPSS, Python, Tableau & Power BI ⤷ Strong Background in Quantitative Research & Data-Driven Decision Making 𝗪𝗵𝗮𝘁 𝗜 𝗱𝗼: → Econometric Modeling & Quantitative Research → Economic, Business & Policy Analysis → Spatial Econometric Data Analysis → Statistical Analysis & Data Modeling → R Programming, STATA, SPSS & Python Analytics → Regression Analysis (OLS, Logistic, Probit, Tobit, IV & GMM) → Panel Data Analysis (Fixed Effects, Random Effects & Dynamic Models) → Time Series Analysis, Forecasting & ARIMA Models → Causal Inference & Impact Evaluation → Difference-in-Differences (DiD),Propensity Score Matching (PSM), Regression Discontinuity Design (RDD) → Structural Equation Modeling (SEM) → Survey Data Analysis & Socioeconomic Research → Machine Learning for Economic & Business Applications → Data Visualization, Dashboards & Business Intelligence → Academic Research, Thesis & Dissertation Support → Publication-Ready Tables, Figures & Reports → Reproducible Research & Transparent Analytical Workflows 𝗪𝗵𝗼𝗺 𝗜 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵: Researchers, Ph.D. and Master's students, universities, development organizations, NGOs, government agencies, policy analysts, economists, financial analysts, consultants, and businesses seeking robust quantitative analysis, econometric modeling, forecasting, and evidence-based decision support. 𝗪𝗵𝗮𝘁 𝗺𝗮𝗸𝗲𝘀 𝗺𝘆 𝘄𝗼𝗿𝗸 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁: I do more than generate statistical output. I help clients understand the story behind the data, select appropriate methodologies, validate assumptions, interpret findings correctly, and communicate results effectively. If a model is unsuitable, I recommend a better alternative. If assumptions are violated, I identify and address the issue. My goal is to deliver results that are academically rigorous, professionally credible, and practically useful. 𝗧𝘆𝗽𝗶𝗰𝗮𝗹 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀: → Econometric analysis for academic research → Policy impact evaluation and program assessment → Panel data and longitudinal data modeling → Economic forecasting and time-series analysis → Survey data analysis and socioeconomic studies → Business intelligence and performance analytics → Thesis, dissertation, and journal publication support If you have a dataset, a research question, or a project requiring rigorous quantitative analysis, feel free to send me a message. I will assess your requirements and provide a clear roadmap for achieving your research or business objectives.