I help businesses turn raw data into clear insights and build predictive models for smarter decisions.
I clean messy data, run exploratory analysis, and build machine learning models to predict outcomes like churn, price, or risk — using Python, Pandas, Scikit-Learn, and NumPy.
Recent work: a churn prediction model (84.4% accuracy) that flagged $203K in at-risk revenue, and a house price model tested across 4 algorithms.
My engineering background ( Mechatronics & Robotics Engineering ) shapes a structured, methodical approach. I deliver on time and communicate clearly at every step..... Read more