Teachin' the young'uns 'bout the tech of the future.

project - Designed and implemented an automated A/B testing analysis tool using Python, enabling Product Managers to derive insights and make data-driven decisions with minimal reliance on analysts. This streamlined the testing process, resulting in a 30% increase in experiment releases and an 80% reduction in analytics workload.

Project- Sate of health (SoH) calculation and Forecast.Calculated State of Health (SoH) of Ola electric scooters by analyzing charging behaviour.Achieved a validation of SoH calculations against real-world data, attaining an accuracy of approximately 98%.Engineered and deployed a time series forecast model to predict the State of Health (SoH) of individual scooters over an 8-year period or 80,000 kilometers of operation.Based on analysis insights, We launched a complimentary battery warranty for 8 years or 80,000 km, showcasing confidence in the electric scooters' long-term performance

Project- Supply chain Analytics Demand forecast : Used Holt- Winters Method for time-series analysis to forecast the OLA scooter future demand with an overall accuracy of 85%Dispatch Plan: Created an algorithm to organize the dispatch plan of the OLA scooter from the manufacturing to the Customer location which reduced the entire delivery time by 15% and reduce the dead stock by 40%Project- Location optimization of Fast-charging stationsDeveloped algorithm to establish hyper charging stations in cities across India which helps in optimizing the cost of the OLA hyper charger network by nearly 30%Incorporating the algorithm into its operations allowed OLA to expand the availability of its charging network to 80% of its customer base.