Kumud Joseph K.

Director of Engineering

Bengaluru, Karnataka, India21 yrs 2 mos experience
Highly StableAI Enabled

Key Highlights

  • Led global Data Science teams, expanding by 5X in 18 months.
  • Generated $MM in annual revenue through innovative projects.
  • Expert in Machine Learning and AI solutions across industries.
Stackforce AI infers this person is a Data Science and Machine Learning leader in E-Commerce and SaaS industries.

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Skills

Core Skills

Machine LearningTechnical LeadershipAi/ml AdvisoryDemand ForecastingTeam ManagementProblem SolvingRecommendation SystemsCustomer SegmentationData ProcessingDynamic PricingProduct BundlingProduct CategorizationMarketing AnalyticsStatistical ModelingCustomer Relationship ManagementFraud Detection

Other Skills

A/B ExperimentationsAgile MethodologiesAmazon Web Services (AWS)Anti Money LaunderingArtificial Intelligence (AI)Artificial Intelligence for BusinessAttrition/RetentionAutomationBanking FraudsBig DataBudget ConstraintsBudgetingCRMCampaign Design & ManagementChatbot

About

Data Science, Machine Learning & Analytics leader with ~ 20yrs of experience. Led global Data Science and Engineering teams and collaborated with Product and Business stakeholders in identifying opportunities and building DS/ML solutions around it. Expanded the team by 5X in just 18 months. Managed 15+ team of managers, data scientists, MLEs & analysts across different geographies. Designed robust & scalable solutions & collaborated with different tech teams in developing end-to-end products. Created roadmap for Data Science organization. Hired, mentored and built teams from scratch and managed projects generating $MM in revenue/year Areas:- Automation, Chatbot, Recommendation/Relevance, Demand Forecasting, A/B Experimentations, Dynamic Optimal Pricing, Product Bundling, Text Classification/NLP, Promotion Effectiveness & Planning, Sales & Pipeline Analytics, Attrition/Retention, Segmentation/Profiling, CRM, Marketing, Campaign Design & Management, Banking Frauds, Event Based Marketing, Cross-sell/Up Sell, Anti Money Laundering etc Industries:- E-Commerce, Contact Center, Product/Manufacturing, Banking, Insurance, Finance, Sales & Marketing Machine Learning: - GLMs, Tree Based Models(Bagging & Boosting), CF/Assoc, Clustering, SVMs, KNNs and many more. Deep Learning: - Transformers, Gen AI/LLMs, MLP/ANNs, RNNs Tools/Software:- Python/Pandas, Pytorch, Pyspark, R, SAS(Base & EM), SQL & sql-like(Hive), Databases(Teradata,Oracle), Hadoop (HDFS), Cloud (AWS)

Experience

21 yrs 2 mos
Total Experience
3 yrs 7 mos
Average Tenure
3 yrs
Current Experience

Narvar

Director & Head of Machine Learning

Jan 2024Present · 2 yrs 5 mos · Bengaluru, Karnataka, India · Hybrid

  • Building IRIS, fraud intelligence tool (https://corp.narvar.com/iris)
E-CommerceDatasetsData ProcessingTechnical LeadershipStrategyData Quality+21

Startups

AI/ML Advisor

Jun 2023Present · 3 yrs

  • Mentored and served as an advisor to startups, helping them to adopt AI (including Gen AI)
E-CommerceDatasetsData ProcessingTechnical LeadershipStrategyData Quality+15

Groupon

4 roles

Senior Manager, Data Science

Promoted

Oct 2019Apr 2023 · 3 yrs 6 mos

  • Merchant's demand forecasting - Design and managing team working on Groupon's merchant demand forecast to onboard best merchants. Created an impact of $1.7m in Gross Profit/year
  • Merchant Attrition - Design & and managing team working on merchant attrition to help building retention strategies. Created an impact of $650k in Gross Revenue/year
  • Product/Deal Bundling - Design & develop deals which are redeemed together frequently and create deal combos increasing the conversion rate to +2%
  • Supply Density - Leading team in bridging supply gap corresponding to customers demand in major geographies with a potential impact of $3M/year
  • Predicting Product Category - Using text data from Merchant Name & Deal Title
  • SEO Keywords recommendation - Surfacing best keywords to help Agents write deal
  • contents during a Deal setup. Resulted in yearly $750k incremental revenue in US
  • Extreme Customer Experience flagging - Based on customer chat conversation, predicting if
  • they have had any extreme experience. Resulted in yearly $445k savings worldwide + 4%
  • increase in customer satisfaction
  • Experimentation - Led Groupon's experimentation team and helped different teams run their A/B experiments smoothly and efficiently
  • Machine Learning Platform - Oversaw and managed Groupon's first ML platform on Cloud(AWS)
Software DevelopmentE-CommercePersonalizationArtificial Intelligence (AI)DatasetsUnstructured Data+42

Manager II, Data Sciences, Groupon Global Service Organisation(Robotics & Automation)

Apr 2016Sep 2019 · 3 yrs 5 mos

  • Expired Deals Recommendation - Redirecting expired deals pages to closest live deal page.
  • Resulted in yearly $379k impact + indirect improving deals SEO ranking
  • Tour Deal Recommendation - For Upsell (related Tour deals) & Cross-sell (Goods deal)
  • Agent Response Prediction/AI Chatbot Response - Predicting top response for a customer query/interaction with Groupon's Agents
  • Search Engine via relevance - Improving Contact center search engine using relevance
  • Refunds Prediction - Predicting customers who would come for refund in near-future
  • Customer Segmentation - Segment customers based on wholistic view (value, profit, behavior, experience etc) so as to have differential treatments
  • Campaigns propensity model - Identify right customer for upsell with focussed efforts
  • Advanced Analysis of Refunds/Denials Impact
Software DevelopmentE-CommercePersonalizationArtificial Intelligence (AI)DatasetsUnstructured Data+36

Manager I, Data Sciences, Groupon APAC

Jan 2015Mar 2016 · 1 yr 2 mos

  • Nearby Deal Recommendation -Algorithm to show best deals in customer's vicinity on
  • Groupon Mobile App. Performance improvement of 15%(AU) and 58%(TH) in terms of GB
  • reported. Additional GB of US$25k generated between Aug'15 to Oct'15 in SG
  • Email Deal Relevance - Set of Algorithms and business rules, which facilitate relevant deals to
  • users/subscribers through Emails. Test results showed 13% more conversion rate
  • Dynamic Pricing recommendation -Automated Pricing correction algorithm based on
  • performance of deals on Groupon site as well as competitor’s pricing. Testing on sample deal
  • shows significant increase in GB by 68% and GR by 5%
  • Product Bundling - Product bundling algorithm to decide which products (complementary/imperfectly competitive goods) should be sold together
E-CommercePersonalizationArtificial Intelligence (AI)DatasetsUnstructured DataData Processing+33

Lead, Data Science, Groupon Goods Inventory Management, North America

May 2013Dec 2014 · 1 yr 7 mos

  • Demand forecasting - Demand forecasting - Forecasting for an item(new/re-featuring) to be launched on Groupon website while optimizing for overbuy(15%) and coverage(45%). Resulted in $5M in gross profit year on year
  • Product Categorization using text classification - Automated product/deal categorization based on product/deal description
E-CommercePersonalizationDatasetsUnstructured DataData ProcessingStrategy+19

Hewlett-packard

Analytics Manager, North America

Mar 2010Apr 2013 · 3 yrs 1 mo

  • Evaluating Promotional/Marketing Effectiveness using Mix Modeling
  • Developed a pricing/discount management tool for pricing decisions. Potential margin impact for this initiative is US$ 16-20 million for a year projects related to IPG-GSB Sales Team
  • Sales Pipeline/Opportunities Win-Rate Analysis
  • Account Sales analysis using RFM segmentation technique
  • US Segmentation for optimum sales force allocation
E-CommerceDatasetsStatistical ModelingMarketing AnalyticsData QualityCustomer Lifetime Value+10

Max new york life/satyam

Analytics/Machine Learning Lead

Dec 2008Jan 2010 · 1 yr 1 mo

  • Customer segmentation/value management for retention, development & win-back strategies
  • Policy lapsation, Agent attrition/performace, Employee Attrition/Retention models for an Indian Insurance major
  • Customer loyalty, perception & Customer Lifetime Value Models
  • Building one entity-one record for customers, agents, policies
DatasetsStatistical ModelingCustomer Relationship Management (CRM)SASData QualityCustomer Lifetime Value+7

Xerago

Analytical Solution Consultant

Feb 2008Nov 2008 · 9 mos

  • Event Based Marketing for large Indian Banks
  • Marketing Campaigns for cross-sell/upsell
DatasetsStatistical ModelingCustomer Relationship Management (CRM)Marketing AnalyticsData QualityFeature Engineering+4

Hsbc/kanbay

Senior Software Engineer

Jul 2004Feb 2008 · 3 yrs 7 mos

  • Financial fraud detection related to Anti Money Laundering
  • Suppression of False Alerts generated by Global Bank's Customer Activity Monitoring Program
  • Risk Scores for all the banking customers
DatasetsStatistical ModelingSASData QualityFeature EngineeringPattern Recognition+4

Education

Indian Institute Of Information Technology Allahabad

BTech — Information Technology

Jan 2000Jan 2004

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