Summary
Overview
Work History
Education
Skills
Projects
Accomplishments
Timeline
Generic

Rupak Chauhan

Jaipur

Summary

Data Scientist with specializing in RAG and predictive modeling. Expert in Agentic AI, GenAI and LLMs, I excel in delivering innovative chatbot solutions. Adept at leveraging Azure AI Services, I combine technical proficiency with strong problem-solving skills to drive impactful results in AI-driven projects.

Overview

3
3
years of professional experience

Work History

Data Scientist

Celebal Technology
Jaipur
06.2023 - Current
  • Worked as a Data Scientist to deliver end to end projects including RAG, Predictive modeling, Chatbots etc.

Senior Software Engineer

Rampwin Technology
Jaipur
04.2022 - 06.2023
  • Worked as Senior Software engineer to deliver end to end projects including genai chatbots and web applications.

Education

Btech. - CSE

Global Institute of Technology
Jaipur
01.2022

Skills

  • Genai, Prompt Engineering
  • LLMs(llama, openai, gpt-4, gpt-4o, hugging face)
  • RAG, Agentic AI
  • Azure AI Services (Azure openai, translator, cognitive services, AI Document Intelligence, AI Search, vector DB, cosmos db Web apps, bot service, VMs, CLU, Bot Service, vector DB, Blob Storage)
  • Langchain, lang-graph, crew-ai
  • Classical Machine Learning
  • Vector Search, Hybrid Search, Semantic Search, embedding generation
  • Python, fastapi, nodejs, javascript, git, azure devops
  • Chatbot Development

Projects

Agentic no-code platform – tech lead

  • Developed a no-code platform enabling the creation and management of multi-agent workflows with role-based access control (RBAC)
  • Implemented context management and support for multiple LLMs with centralized control
  • Deployed on Azure for scalable custom agent, task, tool orchestration, and flow execution

GenAI-powered KPI bot – tech lead

  • Built a RAG-based chatbot to query diverse documents and sales data, generating insights with visual outputs like pie and bar charts
  • Automated ingestion and embedding of structured and unstructured data using Azure Logic Apps
  • Integrated across MS Teams and custom UIs, achieving over 90% accuracy in enterprise-grade environments

Guest churn prediction – data scientist

  • Designed an ML model using RFM segmentation, NPS scores, booking behavior, and cancellation patterns to predict guest churn
  • Performed extensive feature engineering and trained an XGBoost classifier, achieving over 80% prediction accuracy
  • Delivered feature importance insights to guide business strategy and improve customer retention

Accomplishments

  • Monthly standout performer
  • Best mentor of the quarter
  • Team player of the quarter
  • Hall of presence

Timeline

Data Scientist

Celebal Technology
06.2023 - Current

Senior Software Engineer

Rampwin Technology
04.2022 - 06.2023

Btech. - CSE

Global Institute of Technology
Rupak Chauhan