Work Experience

Graduate Research Assistant

Columbia University · Internship

My research focuses on the intersection of climate science and Generative AI. Specifically, I am developing a specialized AI agent designed to streamline the workflows of climate researchers. Leveraging my skills in Data Science, Knowledge Graphs (AWS Neptune), and LLM orchestration, I am building a system that helps researchers navigate vast climate datasets and literature in a structured, automated manner. My role involves translating complex research requirements into technical AI architectures to accelerate discovery in climate modeling and sustainability.

Executive Data Scientist

NielsenIQ - Global Centre for Statistical Research and Data Science

Applying Machine Learning & Deep Learning techniques on Satellite Imagery, Tabular Data and more as part of the Product (Data Science Methodology) Team. Brainstorming and developing advanced methods for NielsenIQ's Global teams across Europe, GCC and APAC to optimise processes and bring efficiency in methodologies used to better estimate the retail market.

Data Scientist

NielsenIQ - India Data Science Business Leaders

Part of the Product (Data Science Market Leader) team working with top consumer packaged goods/FMCG manufacturers from categories like Soft Drinks, Chocolates and Biscuits. Analysed and measured retail sales data and built stories and hypotheses to help clients get the full view of consumers and markets with accurate, actionable information.

Data Science Intern

Internshala

Worked on monitoring and analysing the product's core metrics and setting up experiments for testing business hypotheses. Applied data analysis to monitor experimentation results and provide recommendations to business stakeholders of the platform used by 5 million+ students and 1 lakh+ employers.

Data Science & Software Engineering Intern

Lulu International Exchange

Data Science: Analysed transactional records for multi-country corridor operations in Qatar, Singapore and more.

Software Engineering: Worked on integration of Partner Banks using Java, SpringBoot, Microservices (RESTful APIs) and Docker.

Summer Intern

MateLabs

Explored the domain of AutoML and worked on real-world use cases. Participated in an in-house Kaggle Competition to sharpen ML skills and helped develop content for various use cases.