I offer comprehensive tutoring and consulting support in statistics, econometrics, biostatistics, and healthcare analytics. My extensive expertise includes using advanced statistical tools such as R language, SPSS, SAS, Minitab, STATA, and Python to derive actionable insights from complex datasets, ensuring that my clients receive data-driven solutions tailored to their needs.

Specializing in medical writing and scientific research, I have a proven track record of transforming intricate data into clear, insightful reports, aiding decision-making in healthcare, research, and academic fields. My work spans diverse domains including diabetes, cardiovascular diseases, depression, and clinical trials, where I employ statistical rigor and precision to drive impactful outcomes.

With expertise in advanced techniques such as Longitudinal Data Analysis, Survival Analysis, Bayesian Statistics, Propensity Score Modeling, Meta-Analysis, and Machine Learning, I support projects requiring deep analytical skills. I am particularly proficient in Predictive Modeling, Experimental Design, Data Mining, and Interrupted Time Series—making me a trusted partner for researchers and organizations seeking to optimize their data strategy.

I also have extensive experience in analyzing large datasets, conducting exploratory data analysis (EDA), and using regression models, hypothesis testing, and time series analysis. I have also worked in specialized in medical research, including clinical trials, biostatistical analysis, meta-analysis, and bioinformatics.

Degrees:
– Ph.D. in Biostatistics
– MSc in Statistics and Data Science

Experience:
With over 15 years of freelance work, I’ve assisted numerous students and professionals in the academic, healthcare, and research sectors, delivering high-quality statistical analysis and medical content. My ability to simplify complex concepts has made me a sought-after tutor and mentor in the field of data analysis.