At Nexthikes, I developed predictive models for sales forecasting and fraud detection using Python and Scikit-learn. I also cleaned and preprocessed datasets with Python and Pandas, then used train-test-validation splits to measure and improve model accuracy.
On my sales forecasting project, I built a pipeline to predict pharmaceutical sales six weeks ahead and developed a Flask app for store managers to view forecasts and download results. I also analyzed telecom customer data for a due diligence project and created a Power BI dashboard for sales performance.
