Aspiring Data Scientist and BSc. Statistics graduate passionate about forecasting, financial analytics, and Python-based modeling. I enjoy transforming data into insights and building full-stack analytics solutions from scratch.
A full-stack retail analytics project including SQL Server DB design, synthetic data generation, sales forecasting, customer segmentation, and an interactive Streamlit dashboard.
A full-cycle stock prediction pipeline using ARIMA, SARIMA, LSTM, and hybrid models. Includes interactive charts, diagnostics, and professional documentation.