I apply Machine Learning & Deep Learning techniques on Satellite Imagery, Tabular Data etc as a part of the Product ( Data Science Methodology) Team. Here I get the opportunity to brainstorm and develop advanced methods for NielsenIQ's Global teams in Europe, GCC, APAC etc to optimize the current processes and bring efficiency in the methodologies used by NielsenIQ to better estimate the retail market. And that's the best part working as a Data Scientist in a leading 100 year old Market Research company.

I was a part of the Product ( Data Science Market Leader ) team where I got the opportunity to work with top consumer packaged goods/FMCG manufacturers from variety of categories like Soft Drinks, Chocolates , Biscuits etc to analyse, measure retail sales data and build stories, hypothesis to help them get the full view of consumers and markets with accurate, actionable information and insights.

The Data Science team of Internshala works mainly on monitoring as well as analyzing the product's core metrics & also setting up experiments for testing business hypotheses; applying data analysis to monitor experimentation results and provide recommendations to business and stakeholders of the world-class internship & online training platform which is currently being used by 5 million+ students and 1 lac+ employers.

As a Data Science Intern, I analyzed transactional records for the multi country corridor operations in Qatar, Singapore etc.

As a Software Engineering Intern, I worked on the integration of a few Partner Banks using Java, SpringBoot, Microservices( RESTFul APIs ), Docker etc.

Explored the domain of Auto ML and got my hands dirty with some real world use cases. Participated at In-House Kaggle Competition there to sharpen my skills in ML. Also helped in developing content for use cases.