Jagrati Gogia

Director of Engineering

Bengaluru, Karnataka, India11 yrs experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in Data Science and Machine Learning.
  • Proven track record in Fintech and E-commerce.
  • Strong leadership in data-driven decision making.
Stackforce AI infers this person is a Data Science and Machine Learning expert in Fintech and E-commerce sectors.

Contact

Skills

Core Skills

Data ScienceRisk ModellingSupply Chain OptimizationMachine LearningData Engineering

Other Skills

API DevelopmentAmazon Web Services (AWS)AndroidAutomated UnderwritingBig DataCommerce Solutions DevelopmentCustomer Growth InitiativesCustomer Lifecycle ManagementData IngestionDemand PredictionHadoopJavaLaTeXMySQLObject-Oriented Programming (OOP)

Experience

Ninjacart

5 roles

Director

Promoted

Apr 2025Present · 11 mos

Associate Director

May 2024Nov 2025 · 1 yr 6 mos

Senior Data Science Manager

Promoted

Jun 2023May 2024 · 11 mos

  • ◦ Risk, Collections, Fraud: With Ninjacart pivoting to become a marketplace for farmers and traders with its fintech offerings, my team was responsible for all DS initiatives in the Risk, Collections & Fraud domain:
  • Development of user-level features representative of their credit risk profile
  • Modelling underwriting criteria at eligibility, lending & disbursal stages
  • Provisioning automated underwriting and evaluation of portfolio exposure
  • ◦ Commerce: We developed solutions facilitating traders' engagement on our marketplace platform including lookahead price directionality & gamification initiatives to keep them hooked.
  • ◦ Sales & Distribution: While we stepped into fintech & commerce, we still continued with our fulfilment offerings where our team was pivotal in decisioning initiatives providing demand forecasts at hourly, daily & weekly levels, growth initiatives including next basket prediction as well as SCM optimisation initiatives for creating route plans for our on-ground delivery executives.
Risk ModellingData ScienceUser-level Features DevelopmentAutomated UnderwritingPortfolio Exposure EvaluationCommerce Solutions Development+2

Data Science Manager

Nov 2021Jun 2023 · 1 yr 7 mos

  • ◦ Customer Lifecycle Management: Driving a series of initiatives and DS models aimed at acquisition, service, growth and retention for a 1 Lac customer base. These include predictive modelling of customer purchase, churn and lifetime value, optimisation of beat plans for on-ground sales team as well as factor analysis in identifying underlying customer attitude.
  • ◦ Supply Chain Optimisation: Built in-house optimisation modules for optimal facility location for customer delivery, vehicle routing solutions for minimising MML and LML costs and ensemble demand forecasting for reducing the stock dump and loss of sales.
  • ◦ Risk Modelling for Traders: Responsible for churning out critical modules in a trader lending program of 25Cr, including scoring models for quantifying credit risk and predictive inferencing of borrower delinquency.
Customer Lifecycle ManagementPredictive ModellingSupply Chain OptimizationRisk ModellingData Science

Senior Data Scientist

Jan 2020Oct 2021 · 1 yr 9 mos

  • ◦ Tech-led Pricing: Responsible for building ML models and architecture of an automated, goal-seeking revenue & margin optimizing pricing system which takes care of both supply & demand side constraints. It serves as a decision support system for the business team and is responsible for a daily overall revenue of INR 20 million.
  • ◦ Next Basket Recommendation: Built a sequence-aware recommendation system for predicting customer’s basket composition in his next order. The algorithm used is based on Factorising Personalised Markov Chains which combines the advantages of state-of-the-art MF & MC models.
  • ◦ Data-Driven Customer Growth Initiatives: Completed a series of projects targeted at customer growth and retention including monitoring key platform metrics, assessing customer lifetime value, predicting customer churn and predicting his next purchase.
Machine LearningPricing SystemsRecommendation SystemsCustomer Growth InitiativesData Science

Myntra jabong

3 roles

Data Scientist - 1

Apr 2019Jan 2020 · 9 mos

  • ◦ Portfolio Pricing: Built an LSTM model for demand prediction at a product level and implemented a linear
  • programming-based optimization approach post that, to come up with the best discount configuration at a day-level for all products in the portfolio.
  • ◦ Personalised Pricing: Implemented a word embeddings based model that, for a particular style, shows different prices (personalised coupons) to different customers to nudge them to conversion.
Demand PredictionPricing OptimizationData Science

Senior Machine Learning Engineer

Apr 2018Mar 2019 · 11 mos

  • ◦ Shenron - API Provisioning Platform: Built a platform to develop, build, test and host Data Science APIs.
  • Two core components: API Code Generator Module + Provisioning layer (PaaS).
API DevelopmentData Science

Machine Learning Engineer

Jul 2015Mar 2018 · 2 yrs 8 mos

  • ◦ Sentient: Built a real-time ingestion & processing pipeline using Spark Streaming to feed customer interactions to a flagging model that identifies customer pain points & enables quick RCA for the same.
  • ◦ Business - uStream & pStream: Built the two pivotal data streams - the user stream (one store for all
  • customer interactions) & the product stream (most actionable product metrics) that form the basis of most systems and models built by the Data Science team.
  • ◦ Clickstream - Explore: Built the data ingestion pipeline for Explore, a system that aids in understanding how our consumers browse and buy things.
Real-time Data ProcessingData IngestionData Engineering

Doozie care

Member Board Of Directors

Nov 2018May 2024 · 5 yrs 6 mos · Bangalore Urban, Karnataka, India

Indraprastha institute of information technology, delhi

Research Intern

May 2013Nov 2013 · 6 mos · New Delhi

  • Network optimisation of Wi-Fi networks at scale.

Education

MITx Courses

MicroMasters — Statistics & Data Science

Indraprastha Institute of Information Technology, Delhi

Bachelor of Technology - BTech — Computer Science

Jan 2011Jan 2015

Delhi Public School Ghaziabad

Physics — Chemistry and Mathematics with Informatics Practices

Jan 2009Jan 2011

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