---
title: "Sambit Nayak - Senior Data Scientist II in Bengaluru | Tal"
description: "Meet Sambit Nayak, Senior Data Scientist at Nielsen | Retail and Telecom Domain Expert | Deployed Analytics & Generative AI projects at Fractal, Target, Lowe’s, Flipkart | VIT Vellore Alumni based in Bengaluru. AI stack includes codex, cursor, and opencode. Explore public work links including githu..."
image: "https://tal.club/meet/sambit-nayak/share-image"
---

# Sambit Nayak on Tal

## Headline

Senior Data Scientist at Nielsen \| Retail and Telecom Domain Expert \| Deployed Analytics & Generative AI projects at Fractal, Target, Lowe’s, Flipkart \| VIT Vellore Alumni

## About

I have always been amazed by the stories we can narrate using data\. Though we are complex, mysterious beings who are often difficult to each other, I feel storytelling reminds us we’re all same in one way \- curious beings with an itch to thrive Here is my story\. Back in College, I was deeply curious about understanding how a blend of math and technology can help businesses solve problems at scale\. I spend time reading business case studies to get intuitive answers to questions like \- What is the exact problem statement and the pain point of customer? What decisions seems logical given the problem statement and the information a company has? What portion of results are driven by those decisions? How can we measure the impact of decisions? How do we build intelligent systems that automate such decisions? How can we best explain these mechanics to a non\-technical stakeholders? As I progress through my career, I feel I have gotten better at answering these questions and guiding people around me to do the same\. Having said that \- I know that I can get better, solve bigger problems and impact even more people\. I am glad to have the opportunities to do so\. During my time as Senior Data Science Consultant \(AI/ML\) at Fractal, I leveraged by skills in Root Cause Analysis, NLP, Pattern Recognition, Insight generation and Generative AI to build services and deploy features that delivered strategic value of 20 Million $, improved NPS by 25% and prune reported customer issues by 20%\. While serving as Analyst at Retail/Ecommerce giants like Flipkart and Lowes, I got the opportunity to work on exciting problems such as inventory management & supply chain optimization, retail customer segmentation, customer churn, product recommendations, marketing campaign analysis\. I delivered solutions that reduced inventory storage costs by 10 million $, improved In\-stock levels for high demand items by 9%, increased website conversion rate by 12% and saved 60\+ work hours every week\. While serving as Senior Data Analyst at Target, I lead a team of data analysts to migrate and upgrade 50\+ big data pipelines by leveraging business acumen and optimization skills\. I also created 10\+ automated Dashboards for Supply Chain Directors & Managers which enhanced KPI visibility for the Middle Mile transportation team\. Right now, I'm building a portfolio of End\-to\-End projects as a Data Scientist with Gen AI expertise who can build, orchestrate, evaluate and monitor AI powered systems to deliver massive value for companies in the Retail, Ecommerce, Telecom and Healthcare industries\.

## Location

Bengaluru

## AI stack

codex

cursor

opencode

## Work experience

Senior Data Scientist II at Nielsen, May 2026 \- Present · 4 mos, Bengaluru, Karnataka, India, Serving as Senior Data Scientist II for Customer Experience and Operations COE at Nielsen

Senior Data Science Consultant at Fractal, Dec 2023 \- Nov 2025 · 2 yrs, Bengaluru, Karnataka, India, • Served as Senior Consultant for Telecommunication giant in Australia to solve Data Science & AI/ML problems with objective of optimizing Sales & Activation metrics and enhancing Customer Experience across various CRMs • Developed, tested and deployed ML based customer churn prediction system to improve high value customer retention by 10%\. • Assisted marketing team to generate targeted email marketing campaign that lifted click through rate by 20% and boosted NPS by 25%\. Used text\-to\-image generative AI, cohort analysis, NLP and customer segmentation techniques • Refined business rules for Customer Refund Process, used advanced SQL, pattern matching to enhance rebate workflows across multiple CRMs, generating strategic value of 25 million $\. • Analyzed Order to Activate Journey for new customers with help of SQL, Python and Prompt Engineering to generate optimized workflow that improved service activation time by 8 % • Deployed Product Recommendation Chatbot using Generative AI, LangChain & LangGraph frameworks, RAG pipeline & LLMOps to generate $3M in incremental revenue

Senior Data Analyst at Target, Oct 2022 \- Jul 2023 · 10 mos, Bangalore Urban, Karnataka, India, • Served as Senior Data Analyst in the Middle Mile Analytics team within Global Supply Chain & Logistics department for US Fortune 50 Retail Giant Target • Developed and implemented Machine Learning based predictive modeling framework that accurately forecasted demand for seasonal items, resulting in a 15% increase in revenue • Collaborated with supply chain executives to design and create Power BI dashboard that provided enhanced visibility for Inventory Management KPIs, leading to a 10% improvement in warehouse utilization • Trained junior team members on running optimized queries in Hive and PySpark, reducing data processing time by 20%

Analyst at Lowe's Companies, Inc\., May 2020 \- Jun 2022 · 2 yrs 2 mos, Bangalore Urban, Karnataka, India, • Served as Analyst in Supply Chain Innovation Team for US Fortune 50 Home Improvement/Retail giant Lowes; • Utilized advanced data modeling techniques and optimization algorithms to reduce inventory costs by $ 10 million, contributing to significant cost savings for the company • Conducted Root Cause Analysis for products with low sales velocity, presented insights to Supply Chain Directors, improving in\-stock levels by 9% • Automated error management for the middle mile logistics team, saving 60\+ work hours per week • Led a successful A/B testing initiative for the Appliances Division, resulting in a 12% increase in website conversion rate • Achieved reduction in safety stock requirements by 8% using inventory optimization methods • Owned and delivered 20\+ end to end Analytics/Data science projects such as Top 10 Demand Planning KPI Dashboard, Replenishment Exceptions Dashboard, Lost Sales Analysis, DIY Sales Customer Segmentation, Promotional Sales Analysis, Product Group Performance Dashboard, Store Demand Forecast Optimization\.

Data Analyst at Flipkart, Jun 2019 \- Dec 2019 · 7 mos, Bangalore Urban, Karnataka, India, • Served as Data Analyst in the Ekart Large Appliances team at Flipkart\. • Implemented and maintained a comprehensive data governance program within team, improving data quality by 10% • Performed geospatial analysis for returns data to find gaps in supply chain operations, decreasing monthly return request rate by 8% • Conducted sentiment analysis for customer feedback data, augmenting personalized email marketing campaigns and decreasing website bounce rate by 10% • Collaborated with data scientists to improve conversion rate of recommendation engine and increased average order value by 12%

## Education

Bachelor of Technology \- BTech, Mechanical Engineering, Vellore Institute of Technology

HSC, Science, atomic energy central school oscom

## Public links

- github: https://github\.com/Sambit2424

[View the original profile](https://tal.club/meet/sambit-nayak)

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