At Innodata, working with client Meta, I cleaned and preprocessed data using Python, Pandas, and NumPy, improving data accuracy and consistency.
I also optimized complex SQL queries, reducing execution time by 40%, and implemented validation checks to enhance data quality.
At Accenture, working with client Bank of Baroda, I designed and maintained Qlik Sense and Tableau dashboards that improved KPI visibility and decision-making speed. I automated data workflows, reducing dashboard refresh time from 6–7 hours to a maximum of 2 hours.
For my AI-Powered Banking Customer Intelligence Platform project, I developed a banking analytics platform with SQL, Python, and Power BI. It includes a four-page dashboard with DAX-based KPIs and an LLM and RAG-powered natural-language analytics layer.
