Designed and deployed end-to-end MLOps pipelines using PySpark, MLflow,
and Databricks. Optimized large-scale data processing workflows for
performance and scalability, and collaborated with cross-functional teams
to productionize ML models.
Business Intelligence Intern
Amazon, India
Reduced forecast processing time by 50% through optimization and AWS
deployment. Built analytics tools using EC2, Streamlit, SageMaker,
and QuickSight.
Data Scientist
ZestMoney, India
Developed credit risk, default prediction, and customer lifetime value
models in the BNPL domain. Worked closely with Credit and Risk teams
on automated decision-making.
Education
PhD in Geometrical and Topological Deep Learning.
FSTM, University of Luxembourg
Research in Geometrical and Topological Deep Learning and its application in interdisciplinary domains such as drug discovery and molecular dynamics simulations.
Aspects of under the supervision of Professor Jun Pang.
Double MSc in Data Science and Business Analytics.
CentraleSupélec & ESSEC Business School, Paris, France
CGPA: 15.35/20. Studied machine learning and deep learning models including MLPs, CNNs, and GNNs and theri mathematical foundations. Completed a thesis on the expressive power of GNNs and their applications in drug discovery, molecular dynamics simulations, and combinatorial optimization, interdisciplinary ml projects in Finance, Marketing.
Indian Institute of Technology (IIT) BHU, Varanasi, India
CGPA: 8.60/10. Coursework included Machine Learning, Optimization, FEM,
and Mathematical Modeling. B.Tech project on Landslide Susceptibility
Modeling using ML.