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I am an Economist, Researcher, and Data Analyst with over 7 years of professional experience in statistical and econometric analysis using Stata, SPSS, EViews, RStudio, SmartPLS, AMOS, GRETL, SAS, JAMOVI, and Excel. I provide comprehensive research support across all stages of a project, including introduction, literature review (conceptual review, theoretical review, and empirical review), methodology, data analysis, discussion of findings, conclusion, and recommendations. With 4 peer-reviewed publications available on my Google Scholar profile, I bring strong expertise in quantitative research, econometric modelling, statistical analysis, and academic writing. I support students, researchers, businesses, and organizations in building solid research frameworks, defensible methodologies, and clear, evidence-based interpretations. Here is a comprehensive list of the econometric, statistical, biostatistical, machine learning, causal inference, survey, and diagnostic techniques I have employed: Econometric Methods Linear Regression Models • OLS • Multiple Linear Regression • Weighted Least Squares (WLS) • Generalized Least Squares (GLS) • Feasible Generalized Least Squares (FGLS) Panel Data Models • Fixed Effects (FE) • Random Effects (RE) • Hausman Test • Breusch-Pagan LM Test • Two-Way Fixed Effects (TWFE) • Driscoll-Kraay • Cluster-Robust • Panel-Corrected Standard Errors (PCSE) Dynamic Panel Models • Difference GMM • System GMM • Two-Step Robust System GMM • Windmeijer Correction • Instrument Reduction Techniques • Hansen Test • Sargan Test • AR(1) and AR(2) Serial Correlation Tests Instrumental Variable Models • 2SLS • 3SLS • IV Regression • Endogeneity Testing Causal Inference Methods • Difference-in-Differences (DiD) • Staggered DiD • Dynamic DiD • Event Study • Propensity Score Matching (PSM) • Treatment Effects Models • Placebo Tests • Falsification Tests • Heterogeneity Analysis Time Series Econometrics • ARIMA • ARMA • VAR • VECM • ECM • Unit Root Tests (ADF, PP, KPSS) • Cointegration Analysis • Granger Causality • Impulse Response Functions • Forecast Error Variance Decomposition Volatility Models • ARCH • GARCH Regression Models for Limited Dependent Variables Binary Outcome Models • Binary Logistic Regression • Binomial Logistic Regression • Probit Regression Multinomial Models • Multinomial Logistic Regression • Multinomial Probit Ordered Outcome Models • Ordered Logit • Ordered Probit Count Models • Poisson Regression • Negative Binomial Regression • Zero-Inflated Models Biostatistics and Clinical Research Methods Comparative Tests • Independent Samples t-Test • Paired Samples t-Test • One-Sample t-Test • Mann-Whitney U Test • Wilcoxon Signed-Rank Test • Kruskal-Wallis Test • Friedman Test Categorical Data Analysis • Chi-Square Test • Fisher's Exact Test • McNemar Test Clinical Study Analysis • Cohort Studies • Retrospective Observational Studies • Longitudinal Studies • Repeated Measures Analysis Survival Analysis • Kaplan-Meier Survival Curves • Log-Rank Test • Cox Proportional Hazards Regression • Competing Risk Models • Time-to-Event Analysis Clinical Trial Analysis • 2×2 Cross-Over Design Analysis • Carryover Effect Testing • Period Effect Testing • Sequence Effect Testing Mixed Effects Models • Linear Mixed Models • Generalized Linear Mixed Models (GLMM) • Random Effects Models • Repeated Measures Mixed Models Propensity Score Methods • Propensity Score Matching • Covariate Balance Diagnostics • Sensitivity Analysis Survey and Questionnaire Analysis Reliability and Validity • Cronbach's Alpha • Composite Scale Construction • Reliability Analysis Survey Analysis • Frequency Analysis • Cross-Tabulations • Weighted Survey Analysis • Survey-Weighted Logistic Regression • Survey-Weighted GLM Psychometric Methods • Exploratory Factor Analysis (EFA) • Confirmatory Factor Analysis (CFA) • Principal Component Analysis (PCA) Structural Equation Modeling (SEM) • Mediation Analysis • Moderation Analysis • Path Analysis Multivariate Statistics Dimension Reduction • Principal Component Analysis (PCA) • Exploratory Factor Analysis (EFA) • Confirmatory Factor Analysis (CFA) Classification and Segmentation • Cluster Analysis • Hierarchical Clustering • K-Means Clustering Association Analysis • Correlation Analysis o Pearson o Spearman o Kendall Educational, Psychology, and Social Science Methods Group Comparisons • ANOVA • Repeated Measures ANOVA • ANCOVA • MANOVA • MANCOVA Effect Size Estimation • Cohen's d • Odds Ratios • Relative Risks • Hazard Ratios Data Quality and Missing Data Techniques • Multiple Imputation (MI) • Complete Case Analysis • Missing Data Diagnostic • Outlier Detection • Winsorization • Data Harmonization • Variable Construction • Data Validation For every project, I can also provide the relevant codes, syntax, or do-files to help you replicate the results and understand the analytical process. LET'S CONNECT.

I'm a Senior Statistician & Data Scientist with extensive experience in statistical modelling, analysis and report writing. I've excelled in B.Sc. (Hons) and Masters in Statistics and a PhD in Social Statistics and Demography. I am proficient in SPSS, Stata, and R, focusing on multilevel modelling and longitudinal data analysis. I've successfully led diverse projects, e.g. health surveys, quality-of-life assessments for cancer patients, and census data analysis. My expertise ensures high-quality results for freelance statistical analysis projects.

Data Sorcery in Action: Where Numbers Come to Life 🔮 Ever wondered what happens when you combine data science, machine learning, and business intelligence into one role? Well, you get someone who speaks fluent Python, R, dreams in SQL, and can make Power BI dashboards that actually tell a story (instead of just looking pretty). Core Competencies (Because 'Skills' Sounds Too Boring): - Data Science Dynamo I transform raw data into insights faster than you can say "correlation does not imply causation." From exploratory data analysis to feature engineering, I turn data chaos into clarity. And yes, I actually clean the data instead of just hoping the outliers will behave themselves! - Machine Learning Maestro Whether it's supervised learning, unsupervised learning, or that one model that's being particularly stubborn, I make algorithms work for you. I specialize in developing predictive models that don't just look good in Jupyter notebooks but actually perform in the real world. - Statistical Modeling Sage I wield statistical tools with the precision of a surgeon and the creativity of an artist. From regression analysis to time series forecasting, I ensure your decisions are backed by solid statistical evidence, not just gut feelings. P-values are my friends (but I know better than to trust them blindly!). - Power BI Virtuoso (DAX Master) Need complex calculations? DAX measures that would make Excel cry? I create Power BI dashboards that are both beautiful AND functional. My DAX formulas might look like ancient scrolls, but they deliver insights clearer than your morning coffee. Sample DAX wizardry: -Time intelligence calculations that actually make sense -Dynamic rolling averages that don't break during month-end -Complex segmentation that doesn't require a PhD to understand -SQL Superhero I write SQL queries that would make database administrators proud. From complex joins to optimized subqueries, I make databases sing. And yes, I know the difference between LEFT JOIN and RIGHT JOIN (and when to use each)! - What sets me apart: - I don't just build models; I build solutions that solve real business problems - My dashboards don't just display data; they tell stories that drive decisions - I speak both "tech" and "business" fluently (no translator needed!) - I document my code like I'm writing for my future self who will be very angry if they can't understand it Bottom line: I transform complex data challenges into clear, actionable insights. Whether you need predictive models that actually predict, dashboards that tell compelling stories, or database queries that don't take three coffee breaks to run, I've got you covered. No magic wands required – just solid methodology, clean code, and results you can count on!

I am a motivated and dedicated pharmacology graduate currently in final year of medical school with extensive experience in numerous clinical and research settings. Expert knowledge of scientific writing, technical writing and statistical analysis.

I am a data analyst with a high proficiency in R, Python and Excel. My background is in biology, using multivariate techniques to tease apart relationships which are transferrable to all data. I thrive on analysis and coding challenges and seek to apply this to diverse projects. If you have analysis, visualisation or writing you would like done to a high level of detail, or have any questions, please send an enquiry! My services include: 1) Exploratory data analysis 2) Modelling 3) Data managment and cleaning 4) Data visualisation 5) Explanation and formatting of results 6) Manuscript writing Relevant experience: - Analysis pipelines to streamline and vectorise the analysis of large datasets. - Conducted many exploratory and hypothesis-driven analyses. - Regression (linear, GLM, mixed modelling and zero-inflated) - Significance testing (AN(C)OVA, t-test, f-test, chi square) - Regression tree analysis (random forests) - Circular statistics (directional testing, density testing, coded the Moore's Rayleigh test + bootstrap for vector directional significance in R) - Cluster analysis (K-means, silhouette comparisons, significance testing)

Hey there! I'm Seth, an ex-Academic turned Data Scientist. My experience with data began in the academic world, where I published peer reviewed academic papers in several respectable journals. After two years as a post doc, I realised I was in love with the data, not the process, so I dove headfirst into the exciting realm of data science. I left academia and joined the UK Government in a data science role, passing a Statistician's bar exam in the process. My research used massive linked data sources - we're talking over 60 million rows - to inform the COVID-19 response. I now apply that knowledge to use big data to solve pressing environmental policy problems. For years, alongside my day job, I've been a data science freelancer, crunching numbers, making sense of data, and turning it into actionable insights. I've worked on projects big and small, and love helping my clients become more data literate and creating beautiful, bespoke visualisations that meet their specific needs. In my downtime, I'm on a mission to conquer iOS development. I'm always keen to embrace new challenges and pick up new skills that might make me better equipped to help my clients in the future. I'm not your typical freelancer. I bring a mix of academic rigour, policy expertise, data-driven insights, and combine it with a friendly, relaxed, approachable and professional work ethic. My approach is all about collaboration and making sure I provide my clients not only with high quality work, but a high quality experience. So, whether you've got a data puzzle that needs solving, an academic paper that needs writing or reviewing, statistics that need calculating, or you're just curious about the value a professional data scientist can add to your project, hit me up! I'd love to hear from you.