Srinivas Likith Ravula

Data Tools:

• Built engine/tool (R) that recognizes demand via searches and historical bookings to decide appropriate location with pick-up and drop-off demand thus moving away route creation from manual to data driven routes with demand
• Co-developed captain scoring method to understand low and under-performing captains and train them accordingly/terminate consistently underperforming ones
• Worked on Py-Spark and develop ways to calculate distance of vehicle travelled using location data pings.

AB Testing & Experimentation Design:

• Co-developed process to restructure bonuses & deductions across cities using metrics that provide most value to our customers operationally. Subsequent experiment has revealed lift in 3-20% across captain metrics
• Built tool/engine on R to optimize routes by re-locating stations towards demand, eliminating ones with no demand. Which upon testing revealed avg. 10% reduction in walk to station for customers

Dashboards and Reporting:

• Worked extensively on building Dashboard suite on Looker (BI tool) for visibility of day to day important metrics across Captain Activation, Supply & Demand Composition, Performance & Earnings & Captain churn etc.
• Analyzing invoices to recognize deductions that hurt captains/drivers payouts in order to curb captain churn
• Worked on building high priority Dashboard for Live Operations KPIs that capture pulse of markets across Egypt, Pakistan, Kenya, Jordan, UAE
• Currently working on recommendation engine to reduce cost borne by SWVL in payouts by optimal assortment of plans according to captain based on company & captain preferences. Thus speeding up supply assignment
• Worked on creating customer experience metrics along various cuts to analyze pain points using Zendesk and Freshdesk data
• Created automated email triggers to immediately notify POCs about corporate rides with no supply cost assignment in Karachi

Digital Marketing Campaign and Media Channel Effectiveness

• Thorough scrutiny of Digital Marketing funnel to understand drop-off point of customer coming through various Digital media channels and recommending solutions to increase conversion
• Delivered analysis on Targeted Customers-Application Flow Mismatch and identified major pitfalls in Email related campaign which was causing customers to steer away from intended service/product
• Identified pitfalls in Application ID capture which had been causing underreported Balances (6-7 percent lower) thus adding value to client’s business
• Analysis on behavior of customers, who’s application was either approved/ Pending and number of days to resolution, has produced actionable insights on improving infrastructure and re-structuring existing checks in place
• Tracking and Analyzing Campaigns using KPIs in order to maximize effectiveness and optimize budget re-allocation Balance Slowdown - Interest Rate Change Analysis
• Delivered actionable insights through deep dive analysis of each Product, Media Channel, Campaign and locating most affected part due to Interest rate change which in turn effecting Balances flowing in from customers Report Automation - Daily/ Weekly Reporting
• Successfully automated Daily and Weekly reports leveraging capabilities of R Language completely/partially thus saving 10-15 man hours each week

• Gained exposure on Back testing and Stress testing w.r.t Bank's Counterparty Credit Risk
• Built Report-Analysis tool on R Language which downloads multiple Counterparties data which includes several Graphic Modules, compiled into PDF, thus saving 2 man-days month
• Built ISIN data download Tool on VBA that aided team in extracting multiple ISIN data at once, thus easing analysis process
• Developed tool on R to extract CRIF data from SQL database