Sharanya R.

Product Manager

Mumbai, Maharashtra, India9 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Designed algorithms increasing user engagement by 25%.
Forecasted $7.25 million in annual cost savings.
Boosted gross merchandise value by 15% through product vision.

Stackforce AI infers this person is a Data-Driven Product Manager in the Media and eCommerce sectors.

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Skills

Core Skills

Product StrategyUser Experience (ux)Product Road MappingCustomer AcquisitionCustomer ResearchProduct MarketingSoftware Development Life Cycle (sdlc)Product Launch

Other Skills

Operating ModelsIntegrated Product DevelopmentProduct DesignAPI DevelopmentContent ManagementStakeholder ManagementAlteryxSnowflake CloudService of ProcessTeam ManagementUser JourneysPeople ManagementProduct VisionStrategic VisionSubscriptions

About

9 years of experience building ML/NLP-driven products & services in diverse industries (OTT/Media, eCommerce, IT/Consulting, Government) across global markets (EMEA, APAC). Presently, managing cross-functional stakeholders to craft business visions into data-centric strategies, thus, supervising end-to-end product life cycle. In the process, I analyse behavioural statistics and personalise recommendation algorithms for different demographic/psychographic segments. Therefore, creating notable enhancements in content discovery, user engagement, platform retention, and customer lifetime value (CLTV). Beyond my professional commitments, I document sports-climbing spectacles, practice visual/performing arts, and often geek out on weather-specific gardening styles.

Experience

9 yrs 9 mos

Total Experience

2 yrs 5 mos

Average Tenure

5 yrs 5 mos

Current Experience

Netflix

Product - Data Engineering

Dec 2020 – Present · 5 yrs 5 mos · Mumbai, Maharashtra, India

Designed metrics-based algorithms for content discovery and recommendation strategies, increasing watch time per user by 13% & content completion rate by 25%, exceeding internal benchmarks.
Forecasted annual cost savings of $7.25 million based on a $35 million content acquisition budget, lowering content licensing costs by 15% for two consecutive financial quarters.
Improved click-through rates and platform retention for device-specific user segmentations, especially the mobile-first target market, growing subscription renewal rate by 18%.
Analyzed behavioural statistics, influenced by demographic and psychographic segmentations, to determine evolving content preferences, predicting reduction in churn rate by 15% & bounce rate by 24%.
Collaborated with 23 data scientists and engineers to implement A/B testing methodologies, ensuring 17% increase in daily active users for the value-conscious user segment.
Integrated engagement metrics into product strategies, enhancing session length by 12% from different types of ‘Continue Watching’ features – queue on user profile and via push notification (text-based, thumbnail preview).

Operating ModelsProduct StrategyIntegrated Product DevelopmentProduct DesignAPI DevelopmentContent Management+18

Meesho

Senior Product Manager

Jan 2020 – Dec 2020 · 11 mos · Bengaluru, Karnataka, India

Owned the product vision and roadmap for the seller product suite, boosting gross merchandise value by 15% based on
funnel analysis using metrics such as sales conversion rate and churn risk predictions.
Translated bottlenecks in the sellers’ onboarding procedure into a greater number of account verification/activation and higher seller’s net promoter score, catalysing their platform retention by 12% amongst the price-sensitive market.
Formulated cohort analysis based on search query, heatmaps, session recordings, clickstream data etc., uplifting revenue to an estimated $10 million upon a $25 average order value and annual transaction frequency of 5.
Maximised inventory turnover rate by 27% in three consecutive quarters, resulting in higher customer acquisition value
(CAC) and customer lifetime value (CLTV), via multiple acquisition channels.

Consumer InternetLandscape AnalysisProduct Road MappingPDPInventory ManagementUser Behavior+5

Groupm

Data Analyst - Media Buying

Sep 2018 – Jan 2020 · 1 yr 4 mos · Greater London, England, United Kingdom

Automated pipelines on large datasets, further employing topic modelling techniques to determine insights on emerging
audience trends, leading to a 25% improvement in target audience reach.
Integrated multi-armed bandit testing to dynamically select the most effective media buying strategies, resulting in a 15% reduction in wasted media spend and 20% increase in campaign efficiency (impressions - per dollar spent).
Applied natural language processing models for social media opinion mining, identifying a previously overlooked negative brand perception, leading to a 10% increase in positive brand mentions within six months.
Developed anomaly detection algorithms to identify unexpected pain points and deviations in campaign performance metrics, leading to a 12% increase in click-through rates and a 10% lift in conversion rates compared to static creative selection.

Customer ResearchUser StoriesSocial InfluenceProduct MarketingEuropean MarketsSales Enablement+11

Lancashire county council

Data Analyst Intern

Apr 2018 – Sep 2018 · 5 mos · Greater Preston Area

Conducted 150+ focus groups in 12 regions in Lancashire in accordance with the census database (FY2011 & mid-2017,
population: 1,201,855) to influence policymaking for reconsumption practices, stabilizing imbalanced datasets of responses, leveraging CHAID for initial segmentation, bootstrap aggregation for prediction accuracy, and decision tree algorithm to recommend adaptive strategies.

Data ProductsData Driven InstructionBusiness ReviewsSnowflake

Indian institute of management, lucknow

Market Research Intern

Aug 2017 – Aug 2017 · 0 mo · Lucknow, Uttar Pradesh, India

Market PlanningWeb AnalyticsMarket Data

Tech mahindra

Software Development Engineer

Jun 2015 – Jul 2017 · 2 yrs 1 mo · Bengaluru, Karnataka, India

Programmed a microservices-based architecture, simplifying maintenance, updates and integrations of new features on the
existing application, reducing cloud infrastructure cost by 20%.
Conducted code reviews and debugging defects, improving application scalability with faster deployment rates through containerization methods and CI/CD (Continuous Integration/Continuous Delivery) automation.

Backlog ManagementProblem SolvingCybersecurityOperational ExcellenceSoftware Development Life Cycle (SDLC)Product Launch+4