Meerut, Uttar Pradesh, India
Summary
Analyzed extensive ride data for OLA Cabs to identify patterns, improve driver allocation, and predict high-demand areas, enhancing ride availability and customer satisfaction.
Highlights
Processed and transformed over 100,000 rows of complex ride records using Python (Pandas) and SQL for robust analysis.
Uncovered key insights into peak booking hours, top-performing cities by revenue, and critical cancellation trends.
Developed and recommended data-driven strategies for optimized driver allocation, resulting in a 20% reduction in customer wait times.
Leveraged regression analysis to accurately predict high-demand areas, significantly improving Ola's ride availability and operational efficiency.