Mainak K. — AI Researcher

I am a Staff Data Scientist at ServiceNow with over 10 years of experience in building AI-driven products, enabling automation at scale, and transforming data into strategic business outcomes. My expertise spans the end-to-end data science lifecycle — from scoping and design to model development, deployment, and adoption — with a strong focus on Generative AI, Applied Machine Learning, and Enterprise Automation. At ServiceNow, I lead innovation initiatives that merge LLM-powered automation with real-world enterprise workflows. One of my flagship projects is the development of an Agentic PowerPoint Automation Engine, built using LangGraph, FAISS, and multimodal LLMs. This system allows users to: • Interactively update and verify slide content using natural language • Perform semantic retrieval and reflection-based content correction • Enable human-in-the-loop validation for enterprise-grade AI trustworthiness This work demonstrates my passion for bridging AI research and practical enterprise use cases, and for designing systems that make intelligent automation accessible and explainable. Previously, I’ve led multiple data science and ML initiatives across industries — including retail, supply chain, and cybersecurity — delivering measurable impact through descriptive, predictive, and prescriptive analytics on large-scale data platforms. 🤝 Advisory & Knowledge Sharing Outside of my core role, I actively engage in AI knowledge sharing and mentoring through community platforms and professional networks. I collaborate with teams, startups, and professionals on strategic discussions, architecture reviews, and AI literacy initiatives — always ensuring alignment with ethical and organizational standards. For educational sessions, advisory discussions, or mentorship, you can connect with me here: Connect or collaborate with me here 👉 Topmate.io/mainak_kundu

Stackforce AI infers this person is a Data Science expert in SaaS and enterprise automation.

Location: Bengaluru, Karnataka, India

Experience: 14 yrs 6 mos

Skills

Machine Learning
Generative Ai
Data Science

Career Highlights

Over 10 years of experience in AI-driven products.
Expertise in end-to-end data science lifecycle.
Led innovation initiatives merging AI with enterprise workflows.

Work Experience

ServiceNow

Staff Data Scientist (1 yr 10 mos)

AB InBev

Data Science Manager (1 yr 10 mos)

Publicis Sapient

Lead data Scientist (2 yrs 5 mos)

Landmark Group

Data Scientist (1 yr 7 mos)

Lenovo

Data Science Consultant (1 yr)

Tata Elxsi

Data Scientist (1 yr 2 mos)

Dell EMC

Associate Data Scientist (1 yr 5 mos)

Danone

Product Analyst (3 yrs 5 mos)

Education

Certification in Analytics at Ivy Professional School

Master of Business Administration - MBA at Maulana Abul Kalam Azad University of Technology, West Bengal formerly WBUT

Bachelor of Science - BS at Ramkrishna Mission residential college,Narendrapur

Mainak K.

AI Researcher

Bengaluru, Karnataka, India14 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Over 10 years of experience in AI-driven products.
Expertise in end-to-end data science lifecycle.
Led innovation initiatives merging AI with enterprise workflows.

Stackforce AI infers this person is a Data Science expert in SaaS and enterprise automation.

Contact

Skills

Core Skills

Machine LearningGenerative AiData Science

Other Skills

A/B TestingAgenticDeep LearningEngineeringForecastingInventory ManagementLangGraphLanggraphMLOpsNatural Language Processing (NLP)People AnalyticsPeople ManagementProbabilistic forecastingProgrammingPython (Programming Language)

About

Experience

Servicenow

Staff Data Scientist

May 2024 – Present · 1 yr 10 mos

Architected an Agentic AI–based enterprise PowerPoint generation system using LangGraph and RAG-driven applications, enabling intelligent, brand-compliant deck creation , help to automate 200+ hours of efforts in some 15-20 mins
Developed a robust What-If Strategic Simulation Platform for Customer at risk for Churn using stochastic simulation and probabilistic forecasting to support executive decision-making.
Designed and tested new product features leveraging experimentation frameworks and causal inference techniques to drive data-driven innovation.
Led and mentored a cross-functional team of 8 (5 Data Scientists, 3 Machine Learning Engineers), fostering technical excellence, innovation, and professional growth.

AgenticRetrieval-Augmented Generation (RAG)Machine LearningTeam ManagementLanggraphGenerative AI

Ab inbev

Data Science Manager

Sep 2022 – Jul 2024 · 1 yr 10 mos

Developing algorithmic multi-touch attribution model (SHAP based attribution) to optimize marketing spend and achieved xx% revenue impact
Led development of Causal Inference model (Panel Synthetic Control, DID) for different marketing initiatives as REST APIs & JFrog Packages
Building POC on Automated Experiments Insight of last 1 year of experiment metadata using LLM Finetuning
Managed a small team of Data Scientist & Data analyst and run sprint planning as per priorities

Data ScienceEngineeringStatisticsA/B TestingSQLNatural Language Processing (NLP)+9

Publicis sapient

Lead data Scientist

Apr 2020 – Sep 2022 · 2 yrs 5 mos · Greater Bengaluru Area

Developed & deployed Product Recommendation system (Two-Tower Architecture, Matrix Factorization & other
Neural networks) completely deployed in AWS-Sagemaker, improved Average Order Value by 2%
Led development of Uplift Modelling to personalize marketing programs reduced customer targeting cost by 30%
Test various marketing strategies by robust A/B Testing framework

StatisticsA/B TestingNatural Language Processing (NLP)Statistical ModelingForecastingMLOps+3

Landmark group

Data Scientist

Sep 2018 – Apr 2020 · 1 yr 7 mos · Greater Bengaluru Area

Developed & deployed various forecasting models (ARIMA, ARIMAX, XGBoost, Regression, LSTM) impacted to reduce Average Inventory cost by 15%
Forecasting models deployed as APIs in AWS Sagemaker equipped with proper model monitoring aspects
Developed Churn prediction model (LightGBM, Xgboost, Randomforest & Ensemble Techniques) impacted in 10% reduction in lapsed customer churn rate

StatisticsInventory ManagementStatistical ModelingForecastingData Science

Lenovo

Data Science Consultant

Aug 2017 – Aug 2018 · 1 yr · Bengaluru, Karnataka, India

Developed & deployed Employee Attrition Modeling, build sophisticated text processing pipeline for extracting
appraisal, survey data using NLP techniques like (Word Embedding, Avg-Word2Vec, Tf-IDF) tied with headcount &
incentive data and build powerful Machine learning model using XgBoost, CatBoost, LightGBM and other algos
Design a 3 *3 Design Risk vs. Performance dashboard to strategically analyze, solution impacted Employee retention
by 3-5% by target them at right time

Natural Language Processing (NLP)People ManagementMachine LearningPeople AnalyticsTableauStatistical Modeling+1

Tata elxsi

Data Scientist

Jun 2016 – Aug 2017 · 1 yr 2 mos · Bengaluru, Karnataka, India

Developed multiclass malware prediction model by leveraging NLP techniques (Word Embedding, TF-IDF, Bigrams, ngrams) to extract relevant features from server log data, specifically addressing imbalanced classification challenges.
Solution helped client to improved Threat detection accuracy by 72%

Statistical ModelingDeep LearningData Science

Dell emc

Associate Data Scientist

Jan 2015 – Jun 2016 · 1 yr 5 mos · Bangalore Urban district, Karnataka, India

Developed Propensity Models for leads and opportunities, employing both Regression and Classification Models
Conducted exploratory analysis, storytelling, and employing inferential statistics to assess campaign effectiveness
Scrapped online Tweets and build text base exploratory analysis on Branding of EMC -Dell merger

Statistical Modeling