Agentic RAG Data Scientist (Python, GenAI)

Python ML NLP LLM SQL GenAI

Scikit-Learn Pandas FastAPI TensorFlow

Docker

LangGraph

LangChain AWS

CrewAI

Rishab Khosa

Data Scientist

Data Scientist 4+ Years in Python, Machine Learning, Generative AI, and NLP. Skilled in developing ML models for regression, classification, and segmentation & building end-to-end ETL/ELT pipelines. Proficient in leveraging Generative AI and NLP tools to create Apps and APIs. Managed full project lifecycle from requirements gathering to deployment.

***********@*****.***

860*******

Jammu,India

linkedin.com/in/rishab-khosa

WORK EXPERIENCE

Data Scientist

Ebot Technosoft

03/2025 - Present Pune India

Responsibilities

Built a (POC) Agentic RAG-basedling of FAQs, policy queries, and order-related customer issues.

Demonstrated how RAG can reduce human agent

workload by automating repetitive customer queries.. Built 3 AI-driven applications leveraging NLP, OpenAI, HuggingFace & LangChain.

Built a RAG-based educational chatbot to help students query and understand large PDFs using LLMs.

Led end-to-end projects, from requirement

gathering and Data Pipelines to model development, deployment, and user training, ensuring successful project delivery.

Data Scientist

GlobalLogic Pvt Ltd

03/2021 - 08/2024

Responsibilities

Implemented a classical NLP pipeline involving

text cleaning, normalization, and tokenization,

Feature extraction using Word2Vec.

Developed more than 10 machine learning models,

including customer segmentation, churn prediction and lifetime value estimation.

Developed machine learning algorithms to pre-process data (missing values, outliers, categorical variables) for high-quality analysis.

Performed data ingestion from structured and

unstructured sources, converting complaint text datasets into Hugging Face Dataset format for scalable

experimentation.

Associate

Concentrix Pvt Ltd

10/2017 - 02/2021

SKILLS

PROJECTS

Customer Support Chatbot (Agentic RAG)(POC)

Structured the solution using modular nodes/workflows to evaluate scalability and future production readiness. Designed an agent-based query routing mechanism to differentiate between general customer queries and order-specific requests.

Insurance Policy Analysis Chatbot (RAG-based LLM)

Built a RAG-based Insurance Policy Chatbot using LangChain, OpenAI embeddings, and ChromaDB to enable accurate, document-grounded question answering from insurance policy PDF.

Applied advanced text chunking strategies, used

RecursiveCharacterTextSplitter to preserve policy structure and context.

GenAI / RAG Project (Ed-Tech Learning Assistant)

Developed a GenAI-powered learning assistant that allows students to ask natural language questions over course material. Architect a modular Retrieval-Augmented Generation (RAG) pipeline consisting of document loaders, recursive chunking, embedding, models, vector storage and retrieval based QA chains.

Implemented document loading, chunking, embedding,and vector based retrieval using LangChain and Chroma. Bank Complaints Classification & Routing System

Designed an end-to-end NLP solution to automatically route bank customer complaints to the correct internal department, improving operational efficiency and response time.

Upgraded the system to a BERT fine-tuned architecture for contextual understanding of banking terminology and customer semantics.

Evaluated model performance using accuracy, precision, recall, and F1-score, with emphasis on reducing mis-routing of critical complaints such as fraud and transaction failure.

EDUCATION

Customer Churn

Created a simple data pipeline for pre-processing data and created model for predicting churn using Decision Tree, Random Forest, Boostingfor model life-cycle.

Bachelor of Engineering

Jawaharlal Nehru Engineering College

05/2011 - 05/2015 India, Maharashtra, Aurangabad

Courses LANGUAGES

Computer Science

Engineering English

Full Professional Proficiency

Hindi

Native or Bilingual Proficiency

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