Developed a machine learning model for pricing strategy optimization, improving bid accuracy by 12% and increasing profit marginsby 7%.Implemented a data pipeline with Python and scikit-learn, reducing processing time by 30%.Enhanced model deployment efficiency using Streamlit, achieving a 90% accuracy rate.

Analyzed financial data, improving expense tracking accuracy by 20% and streamlining financial reporting processes.Managed and visualized data using Excel and Power BI, reducing reconciliation time by 25%.Provided actionable insights to enhance financial decision-making.