
Possesses versatile skills in project management, problem-solving, and collaboration. Brings fresh perspective and strong commitment to quality and success. Recognized for adaptability and proactive approach in delivering effective solutions.
Statistical Software & Programming: R, Python, Excel
R Packages: tidyverse, ggplot2, dplyr, stats, MASS, arulesViz, cluster, factoextra, rpart, pROC, Rtsne
Python Libraries: pandas, numpy, matplotlib
Statistical Methods: Hypothesis testing, confidence intervals, regression (linear & logistic), GLMs, ANOVA, model diagnostics, sampling strategies
Data Skills: Data cleaning, exploratory data analysis, data visualization, report writing
Other: LaTeX, R Markdown