Goda Ramkumar

CEO

Bengaluru, Karnataka, India18 yrs 10 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 18+ years in Applied AI leadership.
  • Built and scaled a 100+ member AI team.
  • Recognized among India's Top 10 AI Leaders.
Stackforce AI infers this person is a leader in E-commerce and AI-driven solutions.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Team LeadershipMachine LearningForecastingData AnalysisFraud DetectionDeep LearningPersonalizationGenerative AiDecision SupportData Science LeadershipStartup MentorshipStartup AssessmentOptimisationCoaching & MentoringAnalyticsMentorshipData Science ConsultingLeadershipTeam ManagementCross-functional Team LeadershipStrategic PlanningResearch SkillsOptimizationRevenue Management

Other Skills

AdsAirlinesBig DataBuilding TeamChoice ModelingCombinatorial OptimizationCross Functional LeadershipData ProductsData StratergyFacultyHyperlocal CommerceLocation IntelligenceML OpsMathematical ModelingMathematical Modelling

About

Goda Ramkumar is an Applied AI leader with 18+ years of experience building and scaling machine learning, optimization, and GenAI systems in high-complexity, real-time environments. She currently serves as Head of Data Science & Applied AI at Swiggy, where she leads a large organization of applied scientists driving the end-to-end development of foundational embedding models, recommendation and search systems, discovery personalization, ads optimization, logistics optimization, fraud and risk intelligence, forecasting platforms, mapping and location intelligence, and agentic GenAI copilots. She holds a B.Tech and M.Tech from IIT Madras, where she received the Institute Merit Award, one of the institute’s highest academic distinctions. Prior to Swiggy, she advised more than 50 startups on AI maturity at xto10x, built ride-sharing pricing and dispatch optimization systems at Ola, and spent a decade at Sabre developing forecasting, econometric, and revenue management models for global airlines. Recognized among India’s Top 10 AI Leaders and Top 10 Data Scientists, she also served as visiting faculty at IIM Calcutta and Jio Institute. She has authored multiple publications and delivered presentations in leading industry journals and academic conferences, and is an active contributor to the broader AI ecosystem through research, mentorship, and public speaking. Specialties: Generative AI, Operations Research, Agentic Copilots, Machine Learning, Deep Learning, Optimization, Hyperlocal Commerce, Mathematical Modelling, Data Products, Simulation, Revenue Management, Recommendation Systems, Search, Personalization, Ads, Fraud Detection, Location Intelligence, and Startup Mentorship in AI/ML.

Experience

Acm india

Member of Committee

May 2025Present · 10 mos

Freelance

Core committee member for ORSI-CDSA Practice Award

Jun 2024Present · 1 yr 9 mos

Jio institute

Visiting Faculty

Apr 2024Aug 2024 · 4 mos · Navi Mumbai, Maharashtra, India · On-site

  • Teaching a course on Optimisation for the students of postgraduate programme in Artificial Intelligence and Data Science (AI&DS)
Visiting FacultyOptimisationCoaching & Mentoring

Swiggy

3 roles

Vice President, Data Science

Promoted

Dec 2022Present · 3 yrs 3 mos

  • Leading AI strategy and execution across all verticals (Food Delivery, Dineout & Instamart) spanning discovery, search, forecasting, logistics, personalization, ads, risk intelligence, location intelligence, generative AI agents and marketplace optimization. Built and scaled a 100+ member applied AI team, embedding ML systems into business-critical decision flows.
  • Key Achievements & Impact
  • Designed AI models that improved delivery efficiency, ETA accuracy, and fleet utilization to deliver double digit % improvement in fulfilment reliability
  • Developed forecasting and decision support models for supply planning, mobilization, inventory optimization and network design to improve inventory readiness and customer experience.
  • Built fraud detection and anomaly ML systems reducing revenue leakage and improving marketplace trust.
  • Led personalization, search, ads and user discovery intelligence initiatives leveraging reinforcement learning, foundational embeddings, deep learning based prediction systems for increased engagement, conversion uplift, and user retention.
  • Piloted and scaled GenAI and agent-based systems across operational knowledge retrieval, insights automation, decision support, conversational discovery, support, multimodal content generation and catalogue intelligence.
  • Owner of platform products across experimentation, near real time streaming , Customer Data platform, ML Ops, LLM Ops, Evals and real time dashboards.
Building TeamTeam LeadershipCross Functional LeadershipStrategic PlanningArtificial Intelligence (AI)

AVP, Data Science

Promoted

Dec 2020Jan 2023 · 2 yrs 1 mo

Single Threaded LeaderBuilding TeamArtificial Intelligence (AI)Cross Functional LeadershipTeam CultureSenior Stakeholder Management+1

Principal Data Scientist

Apr 2020Dec 2020 · 8 mos

Data Science LeadershipStrategy and VisionStartupsDeep Learning

Cxxo

CXXO Champion

Jul 2021Present · 4 yrs 8 mos · Bengaluru, Karnataka, India

  • Launched in 2021, CXXO is a Kalaari Capital-backed initiative, to level the playing field for Indian female founder-CEOs.
  • Developed on the three primary pillars of Capital, Community, and Coaching, the CXXO community will help female founder-CEOs take India’s startup ecosystem to the next level, as they shape India’s digital charter, creating exponential value in the economy
Startup AssessmentStartup FundingStartup Mentorship

Indian institute of management, calcutta

Visiting Faculty

Sep 2020Nov 2022 · 2 yrs 2 mos · India

  • Teaching a course titled Analytics in Business for the Post Graduate Diploma program in Business Management. The course covers practical aspects of running successful analytical functions at organizations.
AnalyticsFacultyMentorship

Xto10x technologies pvt ltd

General Manager, Datascience

Mar 2019Apr 2020 · 1 yr 1 mo · Bangalore

  • Designed and executed a service model with a mission to build world class data science function in the Series B+ start-up ecosystem
  • Mentored data science teams for success at leading start-ups in mobility and insurance industry to set up the team, data strategy, data platform and best practices for productivity and collaboration
  • Built high quality machine learning and optimization solutions for customer segmentation, failure prediction, routing and assignment, capacity planning etc
  • Evangelised data as a core driver of scaling journey with more than 50 start-ups in India and SEA via round table events and workshops with actionable key take-aways.
Data Science ConsultingLeadershipData StratergyStartups

Ola (ani technologies pvt. ltd)

Principal Data Scientist

May 2017Mar 2019 · 1 yr 10 mos · Bengaluru Area, India

  • Head of Data Science team for Ola Share product
  • Driving Predictive Models and large scale Optimization Algorithms to production for real time ride-share matching, routing and shared ride pricing
  • Leading real time ride dispatch models and supply incentive optimisation for supply shaping
  • Building customer behaviour models for decision support and growing customer engagement
  • Leading strategic data science initiatives across customer, driver partners and Ola marketplace working with business, product and engineering
  • Advocating Ola Data science within and outside the organization
AnalyticsTeam ManagementBig DataLeadershipStartupsML Ops+1

Sabre holdings

4 roles

Principal Operations Research, Pricing and Revenue Management

Apr 2016May 2017 · 1 yr 1 mo

  • Led core model development for Sabre’s next-generation Pricing & Revenue Optimization platform, coordinating cross-functional teams and earning the 2016 Team Excellence Award.
  • Managed and mentored teams of OR analysts and data scientists delivering forecasting, econometric, optimization, and commercial analytics solutions for major global airlines.
  • Drove the product roadmap for Dynamic Pricing, Retail Decision Support, and next-gen Revenue Management platforms, translating business needs into modeling and product requirements.
  • Designed and executed large-scale simulation studies that demonstrated 1–6% revenue uplift for international carriers transitioning to O&D Revenue Management systems.
  • Contributed to the development of the airline industry’s first customer choice–based Revenue Management product.
Cross-functional Team LeadershipStrategic PlanningCoaching & Mentoring

Lead Operations Research

Promoted

Apr 2012Apr 2016 · 4 yrs

Team ManagementProduct DesignStakeholder ManagementModeling and SimulationMachine Learning

Senior Operations Research Analyst

Jun 2010Apr 2012 · 1 yr 10 mos

Research SkillsChoice ModelingPricing StrategyTime Series ForecastingOptimization

Contributor Operations Research

Jun 2007Jun 2010 · 3 yrs

ForecastingAirlinesSASOperations ResearchMathematical ModelingRevenue Management

Strand life sciences

Internship

May 2006Jul 2006 · 2 mos · Bangalore

  • Mathematical modeling of Bilirubin metabolism and transport for prediction of drug hepatotoxicity.

Astrazeneca

Internship

May 2005Jul 2005 · 2 mos · Bangalore

  • Establishment and evaluation of the use of Isothermal titration calorimetry for Enzyme kinetics study in the company for the first time.

Education

Indian Institute of Technology, Madras

B Tech

Jan 2002Jan 2007

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