Jan 2025 – Present · 1 yr 3 mos

• Driving user experience clickstream data infrastructure strategy
• ● Creating Data Validations and Observability Automation Product Ecosystem
• ● Developing Data Insights automation platform
• ● Clickstream Analytics Infrastructure modernization

Jan 2022 – Jan 2025 · 3 yrs · Bangalore Urban, Karnataka, India · Hybrid

• Ads Architecture Revamp- Frontend Mediation
• Redesigned the ads mediation flow to maximize revenue from Network Ads and fix crucial bugs in the existing system. This led to a platform level revenue gain of 4%.
• ● Calling multiple Ad Formats for the same Ad Slot and serving the best one
• ● GAM Ads Caching architecture to cache Ads & maximize Render Rates
• ● SAN Ads Optimisations - Discard fix, Dynamic bidding for Instream Content,
• Network vs Direct Ads Experiments, SCTV(long form Video Content) closure
• Scaling Network Ads
• Took the journey to lift revenue from Network Ads by more than 200% for the platform. This included multiple initiatives and rigorous problem solving spanning across one and half years. Some of the topline items are
• ● Increasing Demand density by onboarding new partners
• ● Launching New Ad formats such as interstitials, in-story, screenhold, video
• instream in short form content, Rewarded Ads
• ● Optimizing configurations in mediation layer such as floors, user experience,
• Dynamic Bidding, passing content urls in ad requests, CTR improvements, Improving Ad yields,
• Sharechat Audience Network
• Created and launched a Demand Side Platform from scratch for helping direct advertisers to buy web inventory across multiple leading publishers.
• ● Drove GTM to end up Onboarding 10 Publishers leading to best numbers of 3.2L revenue, 50Mn impressions and 1.4Mn DAU at a weekly level
• ● Developed on Creative Engine, Performance Engine, Publisher & Admin Portals, Data instrumentation & Dashboards. Built oRTB Integration capability to expand reach & revenue

Jun 2019 – Jan 2022 · 2 yrs 7 mos · Bengaluru, Karnataka, India · On-site

• Amazon Gift Cards
• Product Voucher bug deep dive: Performed a thorough analysis to identify the
• root cause behind inaccurate refunds processed for cancelled purchases made through Product Vouchers. Worked with the PM to design a fix and measure post fix impact
• Launch of Promo Refund feature in Turkey: Worked closely with the PM to assess feasibility, identify target customers and measure impact of Launching a refund related promotional feature for ‘Refund to Gift Card’ option in Turkey
• Dashboards and Deep Dives: Performed several RCA, impact analysis and AB test result analysis for supply chain, marketing and gift card tech integration related experiments. Created leadership level dashboards for peak season and WW GC tech supply chain
• Compliance Operations
• Developed Application: Prototyped, Designed and Developed a python based local
• application to help the WW Quality Audits team perform daily audits of 4000+ Products in Amazon catalogue. Also created a reporting framework including designing data pipelines from source to representation on Tableau. This saved cost of 2 resources Annually
• Dashboards and Deep Dives: Performed analysis around problems associated with model defect, process improvements, quarterly target planning, product listing defects etc. Created leadership level dashboards for QBR, MBR, escalations etc.

May 2018 – May 2019 · 1 yr · Bengaluru, Karnataka, India · On-site

• Demand Area Heat Map Feature: Planned and built the logic for the demand area suggestion feature to enable the partners to get a booking after an idle time of 60 or more minutes. This helped reducing partner complains, increase allocation and hence cut down incoming calls by 35% per week
• Product structure and performance monitoring: Performed various analysis around partner behavior, partner calling patterns and partner contact channels to help design and restructure various product features rolled out for Ola care partner and customer support in the mobile app. Defined product KPI’s and designed automated dashboards around them for regular monitoring of product health
• IVR Design Improvements: Worked extensively on identification of driver and customer calling patterns to foster appropriate changes in IVR flow for cutting down on call costs, improve caller experience and reduce call center headcount

Nov 2016 – May 2018 · 1 yr 6 mos · Bengaluru, Karnataka, India

• Understanding client requirements, translating business problems into analytical frameworks and generating data driven actionable insights/recommendations to help Fortune 500 clients achieve Business outcomes.
• Technical Experiences include
• Extensive knowledge in data extraction, transformation and loading using SQL queries.
• Summarised data to create reports at various data levels using SQL, SAS(proc SQL) and excel around retail data
• Experience in creating analytical and statistical frameworks in R
• Experience in application of various statistical techniques such as data preparation, hypothesis testing, clustering, classification, forecasting and regression
• Projects
• Fortune 50 Retail Pharmacy (September 2017 – Present)
• Drivers of Declining consent: Built a logistic regression model to identify the factors responsible for the rising trend in the number of declined consent responsible for a potential revenue loss. Factors identified such as age, sex, urbanicity, store attributes were used to generate insights which triggered actions leading to an evident increase in revenue of $2.4MN per month
• Prescription Targetting: Implemented an ARIMA forecasting model for an optimized target setting of the number of prescription orders to be received out of the Refill Reminder calls in FY18 helping the client to realize feasible financial goals
• Consent and Preference Management: Created reports and dashboards across lines of business to monitor the effectiveness of consent capture in terms of revenue as well as customer retention. These reports are being utilized by the client leadership to improve the design of CPM
• Outbound Monitoring: Created KPI’s such as duplication, redundancy, anomalies and stale to ensure the sanity and regularity of the outbound notifications to the customers .Catered to several ad hoc requests to fix anomalies