At BlueMetrics, I designed a Python pipeline that processes nearly 100 million records, stores outputs on Amazon S3, and loads them into Amazon Redshift for business metrics and historical analysis.
I also developed a delinquency prediction model and an automated risk-scoring pipeline that sends daily alerts to the risk team. I maintain Tableau and Sisense dashboards and their underlying data pipelines.
At IBM, I conducted the experimental phase of my PhD research in time series analysis, building a real-time data acquisition pipeline with vibration sensors and MQTT. Earlier, at Softbtye, I developed ERP functionality, optimized SQL queries, and built mobile applications integrated with backend APIs.

