1.5+ years of experience in product analytics. KRAs include monitoring health of the product, funnel analysis, user research, event tracking, A/B tests (validate different hypotheses), report automation and suggesting product features to improve key metrics.- Incorporated funnel analysis to evaluate drop-offs; Analytical insights improved overall conversion- Defined and monitored ‘Key Performance Indicators’ to gauge user engagement across all platforms(web, mobile, apps)- Automated lead reports on a daily basis to identify issues with lead submission- Identified unsupported browsers in mobile web; Increased monthly sessions on mobile site by 2 lakhs- Standardised event tracking structures across all platforms to capture user interaction level data- Conceptualized and conducted 8+ A/B tests to validate hypotheses; Data insights improved conversions by 18%

- Calculated cost per lead for three different lead generating sources to strategize investment plans- Finalized the script(questionnaire) for website and iOS app usability testing; Interviewed potential clients and suggested modifications- Analyzed land & plot projects supply calling data based on various metrics and parameters

- Apex advisory committee member; Spearheaded a team of 41 members for smooth planning of fest- Planned and budgeted finances worth INR 1.5 Crore including disbursement of funds- Introduced a mechanism to safeguard future editions of fest from financial insecurity by investing monetary gains- Negotiated and established exclusive apparel deal with Flying Machine worth INR 17 lakhs- Entrusted by Treasurer, President (Gymkhana) & Chairman to handle entire fest's finance

- Negotiated and finalized event sponsorship deal with Buffalo Inc, a Japan based company- Mentored and groomed a team of 27 Associate publicity members for nationwide publicity of fest- Garnered monetary contribution from alumni; Publicized fest in colleges of Mumbai, Delhi, Kolkata and Jamshedpur

Implementation of Image Processing Algorithms for Image Analysis- Was part of a live project aimed to develop Cargo monitoring software to detect suspicious objects- Applied various image processing algorithms and edge detection techniques to minimize error