CV

Education

• M.S. in Analytics, Georgia Institute of Technology, Expected Dec 2026
  Focus: Machine Learning, Computational Statistics, Data & Visual Analytics
• B.Tech in Chemical Engineering and Minor in Mathematics and Computing, IIT Kharagpur, 2023

Work Experience

• Data Scientist

  American Express, Jun 2023 – Jul 2025

  • Developed and deployed ML solutions for analytics and decision support.
  • Worked on interpretable ML methods including Data Shapley values.
  • Collaborated with cross-functional teams to drive business insights.

• Research Intern

  IIM Ahmedabad, Summer 2022

  • Conducted research on ML applications in business analytics.
  • Published findings under guidance of faculty advisors.

• Data Science Summer Intern

  Truminds, Summer 2021

  • Built predictive models and data pipelines for real-world datasets.
  • Presented insights to senior management.

Research & Publications

Enhancing cybersecurity risk assessment using temporal knowledge graph-based explainable decision support system Permalink

SENE: A novel manifold learning approach for distracted driving analysis with spatio-temporal and driver praxeological features Permalink

Projects

EV Charging Network Optimization Dashboard

Skills

• Programming & Tools: Python, PyTorch, CUDA, SQL, Git, Jupyter, Pandas
• Machine Learning & AI: Interpretable ML, Graph ML, Deep Learning, Convex Optimization
• Data Analysis & Visualization: Data Shapley, Tableau, Matplotlib, Seaborn
• Other: Research writing, Academic presentation, Version control, Collaboration in Git/GitHub