Summary

Highly skilled technical professional with advanced degree in Computational Statistics and machine learn- ing and Aerospace Engineering. Proficient in Python, SQL, R, and ML frameworks like PyTorch, with a strong ability to extract insights from complex data sources. Experienced in Google Cloud Platform (GCP) for managing cloud- based data solutions. Skilled in Git for version control and collaborative software development.

Work Experience

Consultant (MSc Project)

KI Insurance, June 2024 - September 2024

• Managed scalable data processing workflows on Google Cloud Platform, processing over 1.25 million records with 40+ features.
• Performed factor analysis on the dataset across 28 different policies.
• Optimised model efficiency by clustering 28 distinct insurance policies into 3 strategic groups using latent space analysis and log likelihood, reducing the number of required models from 28 to 3.
• Built explainable machine learning models using SHAP, which provided clear insights into feature importance and improved model transparency, successfully presenting findings to non-technical stake- holders.
• Optimised hyperparameters with Optuna across 100+ iterations, improving the average model perfor- mance by 5%.

International Year One Engineering Coordinator/ Sessional Tutor

Kaplan International College London, March 2022 - April 2025

• Provided clean, structured data for analysis and decision-making, resulting in actionable insights to improve student performance.
• Managed a team of three module leaders, overseeing their work and ensuring alignment with educational objectives.
• Collaborated with the director of the college to implement data-driven strategies for enhancing educational outcomes.
• Conducted data analysis to identify and address areas of improvement in the curriculum and teaching methods.

Team Leader

Vedantu Innovations Pvt Ltd India, August 2019 - October 2021

• Successfully maintained and managed academic data for 1000+ students across 3+ engineering sub- jects, ensuring 99.9% data accuracy and timely reporting.
• Developed SQL queries to track student performance, reducing report generation time by 60% and enabling real-time data-driven decision-making.
• Identified and mentored promising students for the International Mathematics Olympiad (IMO), achieving a 70% success rate in certification through targeted guidance and personalized coaching strategies.

Education

MSc Computational Statistics & Machine Learning, 2023-2024

Department of Computer Science, University College London

Master of Technology (M.Tech) Aerospace Engineering, 2017-2019

Department of Aerospace Engineering, Indian Institute of Technology, Madras