At Uber, I used Python-based models to optimize 5 million+ routes, reducing trip duration by 20%. I also contributed to dynamic pricing models and churn prediction work.
As a Data Analyst at ConEd, I automated weekly reporting with Power Automate and SQL, reducing manual effort by 40%. I developed Power BI and Tableau dashboards and optimized data models to improve reporting performance.
At KPMG, India, I used R and Python for predictive modeling and automated data cleaning and validation. On a separate project, I developed a facial emotion recognition model using TensorFlow, OpenCV, and Keras, achieving 93.48% accuracy.

