With a strong foundation in Python-driven data analysis and machine learning, I help businesses extract meaningful insights from their data — whether it's cleaning messy datasets, building predictive models, segmenting customers, or creating automated reporting pipelines.
My work spans from exploratory analysis and statistical modeling to applied machine learning — classification, regression, clustering, and time-series forecasting. I bring data science techniques to real-world business problems, not just academic exercises.
Every project starts with understanding your data. I work across industries — from retail and finance to healthcare and logistics — to build solutions that are practical, scalable, and actually useful.