Mukul Chakravorty

Data professional with hands-on experience across the full analytics-to-ML pipeline — SQL-based reporting, statistical/regression modeling, and deep learning — evidenced by 6 end-to-end projects including two live-deployed Streamlit applications and a K-Means clustering pipeline processing 95,837+ records. Comfortable operating as a Data Analyst, Data Scientist, or ML Engineer depending on team need.

Data Science Trainee — Master Data Science Program at HCL–GUVI (2026-03 – 2026-07)

Certified, project-based Data Science program

• Completed a certified, project-based Data Science program, as measured by delivering 4+ end-to-end analytics/ML projects, by applying SQL, Python, and Scikit-Learn across real-world datasets from data cleaning through deployment.
• Shipped 2 live ML web applications to production, as measured by public Streamlit deployment, by training, evaluating, and serializing regression and clustering models with full feature-engineering pipelines.
• Enabled business-ready reporting across 10+ analytical SQL queries, as measured by KPI dashboards built for stakeholder review, by writing advanced SQL and visualizing results in Power BI and Streamlit.

Analytical Foundations — Civil Services & Competitive Examination Preparation at Self-Directed (2015-01 – 2026-02)

• Sustained a 10+ year discipline of independent, high-volume analytical study, by structuring daily research and evaluation routines across Polity, Economy, History, and current affairs under exam-grade rigor.
• Developed transferable data-interpretation skills by synthesizing large volumes of qualitative and quantitative information into structured, evidence-based conclusions under strict time constraints.

Bachelor's Degree in Information Technology – Rungta College of Engineering and Technology (2011-01 – 2015-01)