I provide expert-level statistical analysis and hypothesis testing services to support research, academic projects, and data-driven business decision-making. With a strong background in Machine Learning, Computational Intelligence, and Applied Statistics, I ensure that your data is analyzed with precision, clarity, and reliability.
My services cover the entire workflow of statistical data analysis, from data preparation to interpretation and reporting:
Data Preparation & Exploration – Cleaning, handling missing data, exploratory data analysis (EDA), descriptive statistics.
Inferential Statistics & Hypothesis Testing – t-tests, ANOVA, Chi-square tests, non-parametric methods, regression-based hypothesis testing.
Advanced Modeling – Linear and logistic regression, generalized linear models (GLMs), mixed models, multivariate analysis (PCA, MANOVA, factor analysis).
Time Series & Forecasting – ARIMA, exponential smoothing, seasonal decomposition, trend analysis.
Bayesian Statistics – Bayesian inference, MCMC simulations, prior/posterior modeling.
Resampling & Validation – Bootstrapping, cross-validation, permutation testing.
Effect Size & Power Analysis – Ensuring statistical significance is meaningful and results are robust.
Visualization & Reporting – Clear charts, dashboards, and written interpretations suitable for publication or business reports.
✔️ Key Strengths:
Hands-on expertise with R, Python (statsmodels, SciPy, pandas), SPSS, and Matlab.
Proven track record of statistical consulting for research publications in top journals.
Ability to communicate complex statistical findings in simple, actionable terms.
Strong academic and practical background in validating research hypotheses.
Whether you are a researcher validating your findings, a business seeking actionable insights, or a student needing rigorous statistical support, I deliver results that are accurate, transparent, and publication-ready.