Focused on using data science driven approaches to turn raw web and app data into meaningful business insights, especially in e-commerce and quick commerce. The role involves analyzing large datasets to identify trends, patterns, and anomalies, improving data quality through automated validation and intelligent checks. Work includes preparing clean, structured data for analytics, supporting use cases like market intelligence, competitor analysis, demand signals, and search/keyword insights.

Developed and optimized data-driven solutions, focusing on the design and implementation of systems for processing and analyzing large datasets. Utilized data science techniques to extract actionable insights and support business decision-making.

Assisted in developing scalable web scraping pipelines and data processing systems. Gained experience in data science techniques for extracting insights from large datasets. Worked on projects involving market research and content aggregation.