About Me
Here is a snapshot of my experiences and my Resume
Work Experience
Visual Data Scientist
Advanced Risk and Portfolio Management, Milan, Italy | April 2024 - Now
- Contributing to the ARPM e-platform by writing Python code to implement case studies in quantitative finance and advanced data science concepts, such as optimal transport, and creating visualizations to enhance teaching material.
- Completed the mathematically rigorous ARPM Quant Bootcamp and Data Science Foundations course as part of professional training.
AI Scientist - Intern
Ipazia, Milan, Italy | March 2023 - January 2024
Reference Letter
- Analysed large-scale time-series datasets and implemented LSTM and Transformer models for optimizing portfolios, using PyTorch Lightning and AWS SageMaker.
- Worked on a scikit library for portfolio optimisation skportfolio.
- Engaged in pioneering research to develop a novel architecture, incorporating Hopfield layers for portfolio optimisation, contributing to a peer-reviewed publication - ICAIF’24: Hopfield Networks for Asset Allocation
- Explored emerging areas like extreme multilabel classification and conformal prediction for uncertainty quantification.
Master’s Thesis Student
University of Padova, Italy | November 2022 - March 2023
Reference Letter from Thesis Advisor
- Explored Real Space Renormalization Group Techniques for lattice systems.
- Implemented Monte Carlo methods for renormalization group studies.
Master’s Thesis Student
Indian Institute of Science, Bengaluru | November 2018 - July 2019
- Modelled Phase-Field for Eutectoid Transformation in Ternary systems.
- Developed a C program for numerical analysis and growth constant variation.
Education
Master’s in Physics University of Padova, Italy |
2019 - 2023 |
Master of Science in Materials Science Indian Institute of Science, Bengaluru |
2018 - 2019 |
Bachelor of Science (Research) in Materials Science Indian Institute of Science, Bengaluru |
2014 - 2018 |
Top Skills
Programming | Python (Advanced): NumPy, Pandas, PyTorch, SciPy, Matplotlib, Seaborn, Scikit-learn SQL, MATLAB, R, C (Basic) |
IT Skills | AWS Sagemaker Git VS Code Linux Terminal LaTeX |
Certifications | 1. Quant Bootcamp – ARPM (July 2024) 2. Quantitative Finance with R – Udemy (July 2023) 3. Introduction to Portfolio Construction and Analysis with Python – Coursera (April 2023) 4. Data Analysis with Python – freeCodeCamp (March 2023) |
Soft Skills | Problem Solving Thinking Differently Analytical Skills Communication Planning Teamwork |