Deepanshu Aggarwal Email and Phone Number

Led GTM strategy for Jio Home app with targeted marketing campaigns through different channels at various touch points (RCS,Whatsapp and Digital banner on STB) to increase the downloads of Jio Home App by 18%.Integrated Jio Push as the core engagement and retention platform, to bring back churned users and retain existing ones, leading to an increase of 20% in MAU MOM.Led Parental Control module to help Parents in digital parenting,saw high adoption of new users in D-30.Collaborated closely with the Design team to revamp the user experience of Jio Home app by conducting user research(Interviews,surveys) removing friction points by altering IA and UI of the the appDefined Usage and performance analytics(KPIs) for Jio HomePlanned and execute BLE remote feature in Jio Home for easy controlling of Jio set top box TV and OTT applications, Play multiple Jio games from soft game controller and soft touch experience for seamless browsing on Jio browser Conceptualised onboarding flows for Wifi 6 extenders/OTT via Jio Home AppDevised logic to identify homes having dead zones within customer premises based on QOE and worked and strategised on upselling extenders through web hook notifications in Jio Home App.

• Spearheaded a team of 12 to organize the flagship seminar event, "Consulting Continuum" • Drafted consulting preparation material & took sessions for the junior batch of 100+ students • Helped over 100+ students with mock interviews & preparation in the domain of consulting • Curated a consulting casebook encompassing 30+ cases, 25+ guesstimates & Industry reports

•Curated pricing strategy for a new B2B Network service platform “Polarin”•Analysed market sizing of Cloud connectivity in India and triangulated the result by top down and bottoms up approach•Cost-Impact analysis of different CMS tools and suggested the best one for hosting the Lightstorm Website•Conducted financial Modelling of Lightstorm for next 5 years in Cloud Connectivity space based on the internal and external factors.•Demonstrated Sensitivity Analysis of LTV/CAC and worked on different adoption strategy to acquire end users

Role:•Responsible for conceptualising,design solutioning and Implementation of Order to delivery speed initiative for Coimbatore,Hisaar and Panipat.•Identified high volume marketplace patches and worked on Reducing handshake time between asset facilities(PH and MH) to improve order to delievery speed.•Conducted a Pilot to move MH-DH profile by 2 hrs to improve order conversion for inbound orders for customer base in Hyderabad.•Worked on reducing waiting time for National lanes landing to Cochin and Hyderabad to improve order conversion.Achievements:•Improved the Day2 speed by 0.3% of all the zonal shipments from Coimbatore.•Improved the Index SLA by 0.05 days for the National Shipments from Coimbatore•Improved Index SLA goodness of 1 lakh shipments from Hissar and Panipat to Pan India.•Reduced handshake time between PH and MH for 5 locations which helped in improving D2 speed by 0.6%

•  Formulated a new True Collection Incentive Model for the legal call center which led to an increase in $3 Mn LC collections • Designed, analyzed, and onboarded 2 POE Skip vendors to the LC Skip Waterfall which led to an increase in $3 Mn collections  • Performed Covid-19 impact analysis on Post Garnishment LC payer rate and POE Industry Profiling of consumers of U.S. • Designed global Skip Incentive framework to mitigate the impact of Covid-19 on Skip Tracers Incentive and LC collections • Formulated budget estimates for Data Cost, PJR collections, and legal metrics: Placements, Suits, Judgments, and Garnishments

•Performed CTC analysis for the MCM PJR-50 Project and proposed changes to increase the Skip collections by 50% in next 5 years • Analyzed and implemented Putback Policy for POE verified Skip vendors to save $1 Mn in LC data cost in Legal collections • Identified opportunities in LC Skip waterfall to increase the eligible inventory that led to an increase in $1 Mn in LC collections • Analyzed Concurrent Vendor Test to find opportunities of pull forwarding the collections and rank-ordering of Skip vendors

•Worked on computing the losses attributed to bottleneck processes in engine valve manufacturing process pipeline and come up with ways to curb it.•Understood the manufacturing processes of Engine Valve,Pistons and Rings

•Learnt fundamentals of statistics and data analytics including regression models and NLP•Learnt R programming and worked on various projects such as cancer detection and prediction of a existing payer to go default•Worked on capstone project using ML algorithms