Sreyasi Dev

I’m a results-driven final-year B.Tech Computer Science student, specializing in data analytics and machine learning with hands-on expertise in SQL, Python, Power BI, and Tableau. I turn complex data into actionable business insights for cross-functional stakeholders.

I’ve built 7+ independent projects end-to-end—from raw data ingestion and EDA to predictive modeling and interactive dashboards. My work spans customer analytics like CLV prediction and churn drivers, plus operational analytics such as ETL-based sales performance reporting.

In ML, I develop practical systems like underwater petroleum spill detection using CNN + OpenCV and a fake news detection pipeline using TF-IDF and classification models. I also use techniques like SHAP, clustering (K-Means), time-series forecasting (Prophet/ARIMA), and imbalance handling (SMOTE) to improve model usefulness and interpretability.

I’m passionate about designing clear KPI views and story-driven dashboards (DAX, drill-through, window functions, KPI design) that help teams decide faster. I’m seeking a full-time remote Data Analyst role at a high-growth technology company.