At Wintec Industries, I processed and standardized 100K+ records using SQL, Python, Excel, and ERP data. I automated ETL pipelines and KPI reporting with 98% data accuracy.
I also built a Gradient Boosting forecasting model in Python and used Power BI data models and dashboards for performance tracking. Integrating multiple data sources improved cross-functional stakeholder understanding by 30%.
At WhiteCrow Research, I used SQL and Salesforce CRM to analyze data and conducted statistical analysis, hypothesis testing, and Adobe Analytics A/B testing. The work drove a 20% improvement in website conversion rates, email engagement, and revenue growth.
At QXLTD, I streamlined ELT and data modeling and developed Tableau dashboards for KPI tracking. My projects include an AWS churn prediction pipeline that achieved a 79% AUC score and an AI inventory chatbot with forecasting.

