Rajat Rathore

Data Scientist with 6 years of professional experience in Data Science, Machine Learning, Data Analytics, Natural Language Processing, and Generative AI application development. Experienced in building Retrieval-Augmented Generation (RAG) systems, AI-powered chatbots, document intelligence solutions, predictive analytics, and enterprise knowledge assistants using Python, SQL, LangChain, LangGraph, OpenAI, Hugging Face, FAISS, and ChromaDB. Skilled in developing end-to-end AI and analytics solutions including data preprocessing, exploratory data analysis, feature engineering, machine learning, NLP, LLM applications, prompt engineering, semantic search, vector databases, FastAPI, Streamlit, and business intelligence.

Proven ability to transform business requirements into scalable data-driven and AI-powered solutions.

Data Scientist at DELTA 360 SERVICES PVT. LTD. (2020-07 – Present)

• Developed end-to-end data science and Generative AI solutions using Python, SQL, Machine Learning, NLP, and Large Language Models (LLMs).
• Designed and developed Generative AI applications for enterprise knowledge management, conversational AI, document intelligence, and business automation use cases.
• Built Retrieval-Augmented Generation (RAG) pipelines using LangChain, OpenAI, FAISS, ChromaDB, embeddings, and semantic search for context-aware question answering.
• Developed AI-powered chatbots and document intelligence solutions using Prompt Engineering, Semantic Search, LLM orchestration, and vector databases.
• Implemented document ingestion pipelines including data extraction, preprocessing, chunking, embedding generation, vector indexing, retrieval, and response generation.
• Developed REST APIs and backend services using FastAPI for integrating AI and machine learning solutions with business applications.
• Evaluated and optimized LLM applications through prompt tuning, retrieval enhancement, response evaluation, and hallucination reduction techniques.
• Built Streamlit-based applications for AI-powered document search, knowledge retrieval, analytics, and business automation.
• Performed exploratory data analysis, data cleaning, feature engineering, statistical analysis, and data validation using Python and SQL.
• Developed machine learning solutions for classification, regression, clustering, predictive analytics, and NLP-based business use cases.
• Developed and maintained analytical dashboards using Power BI, SQL, and Excel for operational and management reporting.
• Created KPI dashboards, trend analysis reports, and performance monitoring solutions for business stakeholders.
• Designed low-code business applications using AppSheet for workflow automation, inventory management, data collection, and operational tracking.
• Automated reporting workflows and business processes using Google Sheets, AppSheet, and Google Apps Script.
• Built optimized SQL queries using joins, aggregations, subqueries, CTEs, and query optimization techniques to support analytical requirements.
• Conducted data cleaning, reconciliation, quality assurance, and validation across multiple datasets.
• Collaborated with business stakeholders to identify data science and AI use cases and deliver scalable solutions aligned with business objectives.

Bachelor of Commerce in B.Com – Dr. C. V. Raman University, Bilaspur (2015 – 2018)

Intermediate in 12th – Archana Memorial SGM Inter College, Etawah, Uttar Pradesh (2015)

High School in 10th – A. Memo SGM Inter College, Etawah, Uttar Pradesh (2013)