---
title: "Manjari Nandi Majumdar - Senior Data Scientist in India | Tal"
description: "Meet Manjari Nandi Majumdar, Data Scientist in KPMG| Data Engineer at Oracle | Data Science, Claude Code, MCP, LLMs, RAGs, PL/SQL, Python | 4 Years of Experience | Computer Science Gold Medalist based in India. AI stack includes claude, hugging face, and langchain."
image: "https://tal.club/meet/manjari-nandi-majumdar/share-image"
---

# Manjari Nandi Majumdar on Tal

## Headline

Data Scientist in KPMG\| Data Engineer at Oracle \| Data Science, Claude Code, MCP, LLMs, RAGs, PL/SQL, Python \| 4 Years of Experience \| Computer Science Gold Medalist

## About

Interests: GenAI, RAG architectures, ML systems, cloud analytics Open to: ML/Data roles, GenAI projects, Technical consulting discussions More about me : I’m a Machine Learning and Data Engineer with 3\.5\+ years of experience building scalable data platforms, ML pipelines, and GenAI\-powered applications in enterprise and consulting environments\. Currently at Oracle \(Staff Consultant\), I design and deliver end\-to\-end AI and analytics solutions—from ETL/ELT pipelines and cloud data warehouses to LLM\-based semantic search, anomaly detection, and forecasting systems\. My work has improved analyst productivity by 35–40%, reduced data load times by up to 40%, and enhanced early risk detection accuracy by 15–25%\. What I specialize in • Machine Learning & Data Science \(Python, scikit\-learn, TensorFlow, PyTorch\) • GenAI & LLM systems \(RAG, embeddings, vector search, LangChain\) • Data Engineering & Analytics \(ETL/ELT, ODI, PySpark\) • Cloud Platforms \(Oracle Cloud Infrastructure, Azure ML\) I started my journey as a Computer Science Gold Medalist \(GPA 9\.68\) and have since worked at the intersection of data engineering, distributed systems, and applied AI—delivering production\-grade solutions across finance, healthcare, and enterprise analytics\. Beyond the tech, I’m known for clear communication, stakeholder collaboration, and solution\-oriented thinking\. I enjoy translating complex technical problems into scalable, business\-ready systems\.

## Location

India

## AI stack

claude

hugging face

langchain

langgraph

langsmith

claudecode

## Work experience

Senior Data Scientist at KPMG, May 2026 \- Present · 5 mos

Staff Consultant \( Data Engineering\) at Oracle, Sep 2024 \- Apr 2026 · 1 y 7 mo, India, 1\. Led last\-minute ETL workaround design during object storage failure in the newly launched OCI Madrid region, ensuring zero data pipeline downtime\. 2\. Developed SELECT AI Python modules for GenAI\-assisted SQL/query generation, improving analyst productivity by 35–40% in internal testing\. 3\. Designed and implemented end\-to\-end AI/ML proof\-of\-concepts \(anomaly detection, time\-series forecasting\) for healthcare use cases, achieving 15–25% improvement in early risk detection accuracy over baseline statistical models\. 4\. Built GenAI\-based interview assessment and resume screening POCs, leveraging LLMs for automated evaluation and insights\. 5\. Designed drill\-down, hierarchical Oracle Analytics Cloud \(OAC\) dashboards for General Ledger analytics, reducing ad\-hoc reporting requests by \~30% and enabling executive\-level insights\. 6\. Executed and optimized SQL, Python, and PL/SQL code for large\-scale analytics workloads\. 7\. Performed ETL performance tuning by optimizing SQL, enabling parallel execution, reducing data volumes, and refining ODI Knowledge Modules, resulting in 25–40% reduction in load times\. Actively working with Select AI, GenAI services, OAC, ODI, and OAS to build scalable data and AI solutions\.

Associate Consultant \( Data Engineering \) at Oracle, Aug 2022 \- Sep 2024 · 2 y 1 mo, India, 1\. Built a production\-grade AI/ML Q&A solution using Large Language Models on OCI Data Science, enabling semantic search across enterprise documents\. 2\. Developed an LLM\-based enterprise Q&A system using OpenAI APIs, embeddings, and vector search, reducing information retrieval time by \~50%\. 3\. Implemented Sentiment Analysis POC using OCI and Oracle Analytics Cloud, achieving \~98% accuracy for audio\-based inputs\. 4\. Designed and maintained data and AI platforms supporting finance and enterprise analytics workloads\. 5\. Worked extensively with structured \(relational\) and unstructured data \(documents, transcripts\) to support end\-to\-end AI workflows\. 6\. Designed ETL and feature engineering pipelines feeding downstream LLM applications, improving data freshness and reliability by \~25%\. 7\. Built semantic search pipelines using vector databases and similarity scoring techniques\. 8\. Implemented BICC → ADW data pipelines, extracting Fusion data into a centralized Data Lake using BICC, OTBI, ODI, and ADW\. 9\. Created a centralized enterprise repository for Finance, SCM, and HCM \(Fusion & EBS\) by consolidating multiple ODI work repositories into a unified GSC repository\. 10\. Designed and implemented OAC reports and dashboards, supporting business\-critical analytics use cases\. 11\. Collaborated closely with business stakeholders and data teams, reducing analysis turnaround time by \~25%\.

Internship in Data Science, Machine Learning, and AI using Python at Indian Institute of Technology, Ropar, Sep 2021 \- Oct 2021 · 2 mos, • Analyzed 10,000\+ records to identify pricing trends and behavioral patterns using statistical analysis and machine learning\. • Built and evaluated a Random Forest Regressor achieving 85–90% accuracy, demonstrating strong problem\-solving and model validation skills\. • Delivered an end\-to\-end ML solution from data ingestion to Flask\-based deployment, simulating a pro\- duction data science environment\.

## Education

Bachelor of Technology Honors, Computer Science and Engineering, Heritage Institute of Technology

Carmel High School

[View the original profile](https://tal.club/meet/manjari-nandi-majumdar)

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