At Baanyan Software Services, I analyzed recruitment workflow data and identified trends and inefficiencies that contributed to a 15% improvement in operational efficiency. I used optimized SQL queries for data exploration, cleansing, validation, and reporting, and applied data modelling practices that improved query performance by 25%.
I also identified a manual Excel-based pipeline tracking process and used Jira to automate status tracking and routine tasks, eliminating manual monitoring. I worked with Business, Technology, and Operations teams to translate requirements into analytical solutions.
In my projects, I developed and validated an SMS spam classifier with 97% accuracy and delivered it through an interactive Streamlit dashboard. I also built a collaborative-filtering book recommender in Flask and analyzed 64k+ customer records in Power BI to test churn hypotheses.
