---
title: "shreya bhat - Engineering Trainee in Greater Bengaluru Area | Tal"
description: "Meet shreya bhat, Data Scientist | AI systems | SQL | Python | Turning Data into Business Insights based in Greater Bengaluru Area. AI stack includes hugging face, langchain, and langgraph."
image: "https://tal.club/meet/shreya-48/share-image"
---

# shreya bhat on Tal

## Headline

Data Scientist \| AI systems \| SQL \| Python \| Turning Data into Business Insights

## About

Data Science and AI Engineer with a strong foundation in Electronics & Instrumentation and hands\-on experience building real\-world machine learning and GenAI solutions\. I specialize in turning raw data into actionable insights and deploying end\-to\-end AI systems from data preprocessing and modeling to APIs and production apps\. 🔹 Experience with Python, SQL, Scikit\-learn, TensorFlow, NLP, RAG, and GenAI 🔹 Built projects in synthetic data generation, hallucination detection, fraud detection, and AI chatbots 🔹 Industry experience at Cipla working with BMS/SCADA systems and real\-time process analytics I enjoy solving practical problems using AI and am actively seeking opportunities in Data Science, Machine Learning, and GenAI engineering\.

## Location

Greater Bengaluru Area

## AI stack

hugging face

langchain

langgraph

openai

## Work experience

Engineering Trainee at Cipla ALIVE, Jul 2024 \- Jul 2025 · 1 yr 1 mo, Goa, India, 🔹Built a RAG\-based equipment knowledge system using LangChain and pgvector, embedding maintenance logs and SOPs into a PostgreSQL vector store to enable engineers to query fault history and retrieve context\-aware repair recommendations, reducing troubleshooting time by 15%\. 🔹Built an LLM\-powered anomaly alerting pipeline combining time\-series fault detection on 50\+ BMS/SCADA instrument streams with RAG\-retrieved equipment manuals, automatically generating failure alerts and maintenance actions, reducing instrument downtime by 6 hrs/quarter\. 🔹Evaluated and optimized the RAG pipeline using RAGAS metrics \(faithfulness, context recall, answer relevancy\) with Sentence Transformers embeddings, ensuring reliable retrieval across 10\+ critical equipment units and improving OEE by 12% in a GMP\-regulated environment\.

## Education

Post Graduate Program, Data Science with specialization in GenAI, Great learning

Bachelor of Engineering \- BE, Electronic and instrumentation engineering, Bangalore institute of technology

[View the original profile](https://tal.club/meet/shreya-48)

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