Samir Ranjan

• Mu Sigma 16th July, 2015 – 16th January, 2017 Defined and Developed Performance Metrics to enable efficient coaching of Contact- Centre Consultants of a leading Insurance Industry in Australia Improved the accuracy of Composite Forecast for the Demand Forecasting team of a leading Agro-equipment manufacturing industry in the U.S by reducing MAPE by 35.

• Solved partner billing issues related to toll charges in Ola Australia by identifying inaccurate GPS pings around tunnel entry and exits and optimizing toll applicability by 75% thereby reducing loss of A$ 18K per month Introduced Fraud Proof Driver led Billing in highly regulated Black Cabs Taxi in Ola UK which led to an decline in extra bill entered cases by 25% Improved Bill recalculation logic by calculating distance and tolls as per actual route and not the Google suggested route thereby reducing burn by 47L/ month and Partner care contacts by 70% Built a feature of drop zones in Ola UK, to allow inter-city travels and toll applicability thereby auto applying tolls in 14% rides which start and end in different cities, a capability which was not in Ola India Introduced deactivate emergency feature in SOS, thereby reducing Customer care distress calls by upwards of 50.

• Productized in app end trip leading to 13% reduction in ‘Bike not found at location’ (BNFL) cancellations Conceptualized and built Out of Service (OOS) Logic for un- reliable bikes based on a robust location logic leading to an increase in Operations tasks by 1550/ day but reduction in BNFL cancellations by 28% Incorporated location from consumer app, bike IOT device and additional GPS device in the Billing framework, leading to an uplift of 22% in ATS Built an OOS logic based on subjective feedback shared by customers post ending the trip, resulting in an uplift of Platform reliability by 2% Built redistribution logic on Bounce Operations App based on the demand – supply mismatch leading to 17% reduction in time to book an idle bike, thereby resulting in an uplift of ARPV (rides per vehicle) by 13% Helped create the Product roadmap for 3 quarters based on User NPS surveys and Play store App reviews.

Building personalized agricultural advisories product for 140M Indian Farmer families.