Curriculum vitae
Adarsh Nair
Senior Data Science Manager · Bangalore, India
Senior Data Science leader with 10 years of experience delivering ML-driven marketing analytics and personalization at scale. Proven track record of leading teams building recommender systems, customer segmentation, and forecasting solutions using Python, TensorFlow, AWS, and Kafka. Deep expertise in NLP, time series modeling, feature engineering, model validation, and deploying production-grade APIs with FastAPI.
Experience
Apr 2021 – Present
Senior Data Science Manager · Yum! Digital & Technology
Remote
Promoted to Senior Data Science Manager(Later renamed to Lead Data Scientist) from Data Science Manager.
13 highlights
- Led the integration of Large Language Models (LLMs) using Lang Chain to enhance the company's AI-driven customer support.
- Developed and deployed sophisticated NLP models for understanding & generating human-like text.
- Managed a team of 9 data scientists and analysts delivering predictive modeling, segmentation, and pricing solutions.
- Led propensity modeling to prioritize high-likelihood buyers and guide campaign targeting.
- Built and deployed a segmentation API powering marketing workflows and dashboards.
- Presented findings to executives and stakeholders, driving alignment and adoption across markets.
- Optimized data pipelines and model evaluation, improving reliability by 15%.
- Led a team of 8 data scientists and analysts to design and implement a recommendation engine for personalization.
- Established KPIs and model monitoring to track accuracy and business impact, enabling continuous improvement.
- Partnered with marketing, operations, and IT to prioritize data-driven opportunities and deliver actionable insights.
- Presented strategy and roadmap updates to senior leadership, informing campaign and product decisions.
- Recognized company-wide during town hall for successful ML platform rollout.
- Scaled production services with Docker and Kafka to support 50ms throughput with high reliability.
Apr 2019 – Mar 2021
Principal Data Scientist · Kvantum Inc
Remote
Promoted to Principal Data Scientist from Senior Data Scientist.
11 highlights
- Led a team of 3 to build market mix modeling and media optimization capabilities.
- Collaborated with marketing science and engineering to productionize ML algorithms and pipelines.
- Developed optimization strategies using the BFGS algorithm to maximize ROI across channels.
- Introduced parallel processing and API standards to enhance scalability by 200%.
- Improved knowledge sharing and documentation, reducing onboarding time by 3 days.
- Directed end-to-end development and deployment of a sales forecasting system for inventory planning.
- Communicated complex ML and statistical concepts to non-technical stakeholders to guide decisions.
- Designed dashboards to track forecast KPIs and accuracy, enabling proactive improvements.
- Led integration efforts during Yum! Brands acquisition, maintaining delivery timelines.
- Earned 'Wave of Happiness Award' for fostering a collaborative, high-engagement culture.
- Improved workflow efficiency via automation, saving 4hrs/week.
Aug 2017 – Mar 2019
Data Scientist · Kvantum Inc
Gurgaon
Built and maintained APIs for Voice of Consumer analytics (NLP pipelines).
8 highlights
- Analyzed social data for sentiment, topics, and trends to inform ad targeting and messaging.
- Applied Word2Vec and dimensionality reduction to extract themes from unstructured text.
- Partnered with product and client teams to translate insights into recommendations.
- Recognized as 'Most Reliable Employee' for consistent delivery and client satisfaction.
- Optimized NLP inference pipeline cutting latency from 320 ms to 120 ms 62% faster delivering quicker Voice of Consumer insights.
- Partnered with teams to translate insights into actions that boosted client satisfaction by 12% within three months across pilot clients.
- Architected data pipelines to enable auto-scaling, supporting up to 3M requests daily with 99.95% uptime during peak campaigns across key client deployments.
- Implemented targeted monitoring and lightweight tests, reducing production incidents by 40% and stabilizing deployment cycles for reliability across all customer projects.
Aug 2016 – Jul 2017
Software Engineer 1 · MAQ Software
Hyderabad
Developed web features leveraging AWS S3, Lambda, and Elasticsearch for fast retrieval.
4 highlights
- Collaborated with architects and developers to deliver capabilities on schedule.
- Automated document generation workflows and built user support chatbot capabilities.
- Enhanced search indexing and query tuning, reducing page load by 45ms.
- Followed SDLC and code review practices to increase stability.
Education
Aug 2014 – Aug 2016
Master of Technology, Robotics and Automation
Indian Institute of Information Technology, Allahabad, Allahabad, India
Aug 2009 – Aug 2013
Bachelor of Engineering, Information Technology
Government Engineering College, Bhavnagar, Bhavnagar, India
Skills
Programming Languages
Data Engineering & Big Data
Frameworks
Statistics & ML
GenAI
Cloud Platforms
Tools
Awards & certificates
2024
Recommendation Engine Rollout
Yum! Digital & Technology — Recognized company-wide during town hall.
2023
Wave of Happiness Award
Kvantum Inc — Earned for fostering a collaborative, high-engagement culture.
2020
Most Reliable Employee
Kvantum Inc — Recognized for consistent delivery and client satisfaction.
Jan 2025
Professional machine learning engineer
Google
Jul 2024
Generative AI with Large Language Models
Deeplearning.AI