May 2023 - Oct 2023

Data Science Intern at Fittlyf

● Built a high-impact POC web app to help users access data from the company's data mart. Used Starcoder LLM to generate SQL and Python code, executing 300 queries with a 60% success rate. ● Co-ordinated the implementation of the Thompson sampling algorithm for Bayesian A/B Testing, contributing to a 10% reduction in decision-making time for data-driven marketing campaigns. ● Designed and developed a Tableau dashboard for real-time analysis of experimentation data. ● Created POC of a minimum sample size calculator application, to demonstrate the importance of minimum sample size in a frequentist A/B testing approach. ● Conducted comprehensive analysis using various clustering algorithms on raw data to identify patterns, trends, and potential insights.

Jan 2023 - Feb 2023

Machine Learning Intern at Analysed.AI

● Scraped data from over 10,000 dishes, utilizing BeautifulSoup, to extract detailed recipes and ingredient information; curated a comprehensive dataset to build a highly accurate calorie predictor model, enhancing nutritional insights for users. ● Achieved data cleaning and pre-processing efficiency, resulting in a 12% reduction in data inconsistencies, ensuring the accuracy and reliability of the dataset.