Nakul Gupta

Associate Partner

Bengaluru, Karnataka, India15 yrs 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 15+ years of experience in data science.
  • Expert in predictive modeling and machine learning.
  • Strong communicator and team player in fast-paced environments.
Stackforce AI infers this person is a Data Science expert with a focus on AI-driven solutions in the SaaS industry.

Contact

Skills

Core Skills

Machine LearningAiData Analysis

Other Skills

A/B TestingAlgorithmsAnalyticsApache PigArtificial Neural NetworksBusiness AnalysisBusiness AnalyticsBusiness IntelligenceCampaign analyticsChurn predictionCluster AnalysisConsultingData MiningDeep LearningDesign of Experiments

About

15+ years of Data science work Experience with key skills in Predictive Model Building,Machine Learning, Digital Strategy Development, Web Analytics,Marketing Analytics, Product analytics, Exploratory Analysis and AI based product development Worked across a various verticals with specific focus in E-Commerce and Digital Products. Key team player with strong ability to communicate and work with teams in fast-paced projects with strict time-lines. Ability to create business presentations and reports with insights supported by strong analytical and logical thinking.

Experience

15 yrs 9 mos
Total Experience
3 yrs 11 mos
Average Tenure
4 yrs
Current Experience

Indian institute of management nagpur

2 roles

Visiting Professor

Sep 2025Sep 2025 · 0 mo

Visiting Professor

May 2024Jun 2024 · 1 mo

Yubi

2 roles

Senior Director - Data Science

Promoted

Apr 2024Present · 2 yrs 2 mos

Director - Data Science

Jun 2022Jun 2024 · 2 yrs

Indian institute of information technology, sricity

Visiting Professor

Dec 2021Dec 2021 · 0 mo

Davinta financial services private limited

Head - Data Science

Sep 2019Jun 2022 · 2 yrs 9 mos · Greater Bengaluru Area

[24]7

3 roles

Associate Principle Analytics Consultant (AI and Optimization)

Promoted

Apr 2017Sep 2019 · 2 yrs 5 mos · Greater Bengaluru Area

  • Heading Digital transformation initiatives.
  • Contextual Chat Invites: Identified business use cases, created web journey based intent models to provide context based chat invites. Presented research findings in 2nd International Conference on Complexity.
  • Created and managed product for doing machine learning at scale which was extensively utilized by business and marketing functions to achieve their business metrics.
  • AI Based Chat Bots: Identified granular customer intents, designed workflows, created text-mining models for intents and customer responses on workflow nodes, and measured performance through big data logs
  • AI Based Agent Recommendations: Designed NLP based agent recommendation systems for reducing the chat handling time by 10-30% and creating better end user experience.
Digital transformationMachine learningNLPAIMachine Learning

Senior Analytics Consultant (AI and Optimization)

Apr 2015Mar 2017 · 1 yr 11 mos · Greater Bengaluru Area

  • Design of Experiments: Executed data driven experiments on chat designs in order to achieve higher chat acceptance rate increasing the same by 15-50% across multiple clients. This is one of its kind unique approach which can be utilized across any digital strategy. Same has been published in research journal in Europe.
  • Text-mining platform (for text-mining at scale): Helped build a scalable NLP based text-mining platform to predict an array of chat attributes such as Intent, Reasons for Non Purchase, and Product Extraction
Design of ExperimentsNLPText-miningData AnalysisMachine Learning

Analytics Consultant (AI and Optimization)

Sep 2013Apr 2015 · 1 yr 7 mos · Greater Bengaluru Area

  • Purchase propensity models: Built web journey based models to identify customers who are more likely to make a purchase when given a chat.
  • Chat Propensity models: Built web journey based models to identify customers who are more likely
  • to chat in a service scenario
Predictive modelingWeb journey modelingMachine LearningData Analysis

Infosys ltd. (management consulting services)

Data Scientist

Jun 2010Jul 2013 · 3 yrs 1 mo · Greater Bengaluru Area

  • Churn Prediction: Identified potential churners for Bahrain based telecom giant to roll out offers within a constrained budget
  • Campaign Analytics: Identified the right customer base to efficiently drive targeted marketing through
  • campaigns like direct mails for a US based retailer increasing response rate by 20-25%
  • Discount Propensity Model: Developed a predictive framework for a US based retailer to identify customers who might respond to a particular discount campaign
Churn predictionCampaign analyticsData AnalysisMachine Learning

Education

Indian Institute of Management Tiruchirappalli

Doctoral Candidate — Information Systems and Data Science

Jan 2020Jan 2024

Higher School of Economics

MS - Applied Mathematics and Informatics — Data Science

Dhirubhai Ambani University

Bachelor of Technology (BTech) — Mathematics and Computer Science

Jan 2006Jan 2010

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