---
title: "Shreya Puri - Assistant Manager - Data Scientist in Nagpur | Tal"
description: "Meet Shreya Puri, Data Scientist – Digital Analytics | AWS | Python | SQL | ETL | Computer Vision | Manufacturing Digitization | Industry 4.0 based in Nagpur. AI stack includes hugging face, langchain, and langgraph."
image: "https://tal.club/meet/shreya-puri/share-image"
---

# Shreya Puri on Tal

## Headline

Data Scientist – Digital Analytics \| AWS \| Python \| SQL \| ETL \| Computer Vision \| Manufacturing Digitization \| Industry 4\.0

## About

I work at the intersection of data science and manufacturing — building systems that use computer vision, ETL pipelines, and cloud infrastructure to make industrial operations smarter\. At CEAT Tyres \(RPG Enterprises\), I've spent the last two years working on Industry 4\.0 and digital analytics initiatives as part of the ITDX team\. My work spans computer vision models for quality detection, AWS\-based data pipelines, and analytics solutions that turn raw manufacturing data into decisions\. What I work with: Python · SQL · AWS \(DMS, S3, Athena, Redshift, Cloudwatch, Crawler\. Lambda, Glue, QuickSight\) · OpenCV · ETL · EDA · Machine Learning · Data Visualization I hold 8 IBM Data Science certifications via Coursera, with a BE in Computer Science from Government College of Engineering, Nagpur\. Open to Data Science and ML Engineering roles in Data analytics\. Feel free to connect\.

## Location

Nagpur

## AI stack

hugging face

langchain

langgraph

openai

## Work experience

Assistant Manager \- Data Scientist at CEAT Limited, Jul 2024 \- Present · 2 yrs, Hybrid, → Developing and deploying computer vision models using Python and OpenCV for automated quality inspection and defect detection on manufacturing lines\. → Designed end\-to\-end AWS data pipelines \(S3 → DMS → Glue → Athena → QuickSight\) to ingest, transform, and visualise plant production data in real time\. → Built interactive KPI dashboards \(AWS QuickSight, SQL\) tracking energy, steam, scrap, and rework — reducing rework by 20%, steam consumption by 30%, and scrap rate from 0\.87% to 0\.62%\. → Designing data pipelines that aggregate multi\-source plant data — enabling KPI tracking, OEE monitoring, and root cause analysis for plant leadership\. → Collaborating with cross\-functional teams to digitise manual plant processes and transition to data\-driven operations under the Manufacturing Digitization roadmap\.

Graduate Engineering Trainee at CEAT Limited, Jul 2023 \- Jun 2024 · 1 yr, Nagpur, Maharashtra, India, → Built foundational data analysis pipelines using Python \(Pandas, NumPy, Matplotlib\) for processing and visualising plant production data\. → Developed SQL queries and data transformation scripts to extract and clean raw manufacturing datasets for reporting and dashboards\. → Contributed to computer vision proof\-of\-concept work using OpenCV for object detection and quality checks on production lines\. → Completed IBM Data Science Professional Certificate series \(8 courses\) covering ML, Python, data visualisation, and data science methodology\.

## Education

Bachelor of Engineering \- BE, Computer Science, Government College of engineering nagpur

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

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