Ashfak 1215

I am an aspiring data scientist and BI analyst with hands-on experience in data analysis, machine learning, and deep learning, experienced in building real-world projects such as time-series forecasting and ECG anomaly detection. I work with Python, Power BI, and SQL to turn complex datasets into clear visualizations and actionable recommendations.

My projects include ECG anomaly detection using LSTM and autoencoders, credit-mix classification with feature engineering and Power BI dashboards, and time-series forecasting of air pollutants. I emphasize reproducible workflows, model evaluation (Precision, Recall, F1-score), and delivering insights that support operational decisions and early-warning systems.