Shubham Kumar Sahu

Data Scientist @ Capgemini | Machine Learning Engineer | AI/ML Engineer

Role
Data Scientist at Capgemini
Location
New Delhi, DL, IN
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Shubham Kumar Sahu

Experienced Data Scientist with 4+ years of hands-on expertise in machine learning, deep…

Experience

  1. Data Scientist

    Capgemini

    Jul 2024 — Present · Noida, IN

    Customer Segmentation for VAS Product (ML Clustering)- • Prepared data and applied power transformation techniques to handle feature distribution effectively.• Implemented hierarchical clustering using Scikit-learn to create dendrograms for cluster visualization and group customers with similar behaviour.• Assessed clustering performance using Silhouette Score and Davies-Bouldin Index, delivering insights through a client-facing presentation.Generative AI Multi-Agent Chatbot - • Enhanced a multi-agent chatbot developed with the LangGraph framework by adding a new node for product recommendation integration using PostgreSQL.• Implemented a response evaluation method with the DeepEval library.• Improved customer conversion rates by 5% through the addition of product recommendation features.Generative AI for Textual Analysis (Email Information Extraction)• Designed a solution for extracting Bill of Lading data using LLM and prompt engineering techniques.• Optimized token consumption costs using the tiktoken library and Azure cost calculator.• Applied TF-IDF vectorization and DBSCAN clustering to group similar information, achieving $1,300 in cost savings.• Evaluated cluster quality using Silhouette Score and Davies-Bouldin Index, and conducted similarity analysis using LLM and the Pydantic library to rate information accuracy.Generative AI Proof of Concepts (POCs)- • Crafted and deployed multiple POCs leveraging LangChain, Hugging Face, and Azure Open AI for tasks such as Retrieval-Augmented Generation (RAG), function calling, and advanced prompt engineering.Product Recommendation System (ML Multi-Label Classification)• Created a Random Forest-based multi-label classification model for product recommendations, achieving a 76% F1 score.• Conducted data preparation, feature engineering (univariate and bivariate analysis), under sampling, and hyperparameter tuning for optimal model performance.

Education

  • IMARTICUS LEARNING, NEW DELHI

    Postgraduate Diploma in Data Science and Analytics

    2023 — 2024

  • AJAY KUMAR GARG ENGINEERING COLLEGE, GHAZIABAD

    Bachelor of Technology - BTech

    2016 — 2020

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Shubham Kumar Sahu — Data Scientist at Capgemini in New Delhi, DL, IN | Unifers