Vinit Rongata

Product Manager

Bengaluru, Karnataka, India13 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Over 13 years of data science leadership experience.
Expert in machine learning solutions for retail and e-commerce.
Proven track record of driving business impact through analytics.

Stackforce AI infers this person is a Data Science leader specializing in E-commerce and Retail analytics.

Contact

Skills

Core Skills

Machine LearningData ScienceAnalyticsData EngineeringDemand ForecastingPricing OptimizationCustomer AnalyticsBusiness Analysis

Other Skills

Ads Bidding & RankingAgile frameworkAlgorithm developmentAnalytics as a productApplication developmentBusiness insightsClusteringContextual BanditsCustomer InsightCustomer Segmentation StrategyCustomer engagement strategyCustomer insightsDecision TreeDeploymentEnsemble forecasting

About

Data Science leader with 13+ years of experience, and proven track record of delivering tangible business impact in fast faced, high-achieving and resource constrained environment. Strong exposure in retail and e-commerce across India, US, Europe and MENA. I have led development of ML & AL solutions for diverse set of problems eg. feed-personalization, real-time Ads ranking and bidding systems, demand forecasting, pricing and promotion optimization, and many more.

Experience

Meesho

Senior Manager - Data Science

Jan 2022 – Present · 4 yrs 2 mos · Bengaluru, Karnataka, India

Leading Ads Bidding & Ranking, Home Feed Personalisation, Growth AI initiatives as well as MLOps efforts.
Homepage Personalization, homepage layout and tiles at Meesho is personalised based on user's interest. My team works on improving Homepage relevance using ML disciplines like Ranking, Representation learning and Contextual Bandits.
Push Notification Personalization, is a key lever for start-ups to increase Organic App Opens (ie. Daily Active Users). My team works on improving relevance, volume and timing of notifications using a host of ML techniques.
Product Quality, is an important lever for customer satisfaction on e-commerce marketplace. We work on predicting quality of product listed on the platform using tree based, sequence-based ML models.

Ads Bidding & RankingHome Feed PersonalisationMLOpsRankingRepresentation learningContextual Bandits+3

Landmark online india pvt. ltd.

5 roles

GM - Analytics & Insights

Promoted

Apr 2021 – Dec 2021 · 8 mos

Driving organizational change from "Analytics as a service" to "Analytics as a product"
Leading product management, data science, data engineering and application development discipline
Focused on problem solving in multiple retail domains like customer, marketing, demand forecasting, pricing, supply chain, logistics and general merchandising

Analytics as a productProduct managementData scienceData engineeringApplication developmentAnalytics+1

Sr. Manager - Data Science

Oct 2019 – Mar 2021 · 1 yr 5 mos

Leading Data Science and Data Engineering team responsible for building analytical products to improve key processes and operations
have led through complete product life-cycle; leveraged cross functional teams in agile framework, requirements gathering, thought leadership, algorithm development and deployment

Data ScienceData EngineeringAgile frameworkAlgorithm developmentDeployment

Lead Data Scientist

Sep 2018 – Sep 2019 · 1 yr

Demand Forecasting expert and Product owner for inventory management solution:
Designed and developed a robust forecasting architecture and leading algorithm enhancement sprints
led development of demand planning solution for multiple business and product types
Responsible for driving enhancement, innovation and ROI of the solution
Time series modelling, ML based forecasting, Ensemble forecasting, Inventory Optimization, Demand Planning

Demand ForecastingInventory managementTime series modellingML based forecastingEnsemble forecastingData Science

Senior Data Scientist

Promoted

Jan 2017 – Aug 2018 · 1 yr 7 mos

Responsible for improving Pricing and Inventory decisions using cutting edge analytics :
Developed markdown optimization algorithm to boost promotion effectiveness
Built algorithm to improve on-shelf availability via better inventory planning
Optimized key supply chain parameters for replenishment systems
Extensively used linear regression, optimization, simulation, time-series modelling, R, SAS etc.

Pricing decisionsInventory planningMarkdown optimizationSupply chain parametersPricing OptimizationData Science

Assistant Manager - Analytics

Jul 2015 – Dec 2016 · 1 yr 5 mos

Responsible for driving customer engagement strategy and ROI :
Developed various predictive models and segmentation in customer analytics domain to improve customer engagement and ROI
Helped decision making through business insights and analysis
logistic regression, clustering, SAS, R etc.

Customer engagement strategyPredictive modelsSegmentationBusiness insightsCustomer AnalyticsData Science