Syed Ashiqur Rahman

I've analyzed e-commerce sales data to uncover seasonal trends, regional profit gaps, and losses caused by discounts above 40%, publishing actionable recommendations on GitHub. I also built customer churn models that achieved 87% accuracy and a 0.84 AUC-ROC score.

At BRAC University, I co-authored research on Q-MSTF, a hybrid LSTM-Transformer model for seasonal rainfall forecasting in Bangladesh. Working with 66 years of data from 33 meteorological stations, our model achieved an R score of 0.82 and outperformed ARIMA and standard machine-learning baselines.

I'm a Computer Science graduate who takes a careful, research-first approach to understanding data before drawing conclusions. I'm building hands-on analytics skills through Python, Pandas, SQL, Power BI, and self-driven projects.