Ranadheer Vangala

About Ranadheer Vangala

Ranadheer is a seasoned AI and data analytics professional with 9 years of experience leading the development and deployment of Gen AI / LLM / NLP based solutions that transform complex data into actionable insights. He has delivered AI-driven solutions for global clients, architecting scalable LLM-based platforms and predictive models to support strategic decision-making. With strong expertise in Gen AI and LLMs, combined with MLOps practices, he builds reliable, production-ready AI systems that drive measurable business impact.

Experience

1. Management Consultant (Data Science)

   Accenture

   Nov 2021 — Present · Hyderabad, IN

   Generative AI & LLM Solution Delivery: • Led a team of analysts in building a tailored framework for multiple clients that leverages LLM models, prompt engineering, Retrieval-Augmented Generation (RAG) and vector databases approach to solve complex business problems. • Experinece in creating GenAI based converasational chatbots, Agentic AI solutions • Implemented RAG framework by leveraging FAISS based vector database for efficient semantic search, enabling context-aware responses. • Hands-on experience in fine-tuning, including supervised finetuning, LoRA and PEFT frameworks to optimize model performance and accuracy. • Evaluated text generation quality using BLEU and ROUGE metrics • Design, develop, deploy machine learning models in production environments. • Experience with AI-assisted coding tools including Claude, Google AI Studio • Client facing: Led a team, built insights, created storyline and delivered to clients. AI Orchestration & Cloud Deployment: • Led the architecture and strategic delivery of a scalable multi-step LLM orchestration engine powering a workforce transformation platform • Developed and deployed REST APIs using Flask to expose outputs in structured JSON format, integrated Azure OpenAI securely, implemented Blob Storage read/write pipelines, and validated endpoints using Postman. • Managed Azure DevOps CI/CD setup, containerization, and secure production deployments with environment-based configuration and version control.Attrition Prediction: Developed an employee attrition prediction model using Logistic Regression, Random Forest, XGBoost, and Neural Networks, addressing class imbalance with SMOTE and class weights. Applied feature engineering and SHAP explainability to uncover key attrition drivers, improving HR’s ability to design targeted retention strategies.

Education

• Indian Institute of Management, Calcutta

  Post Graduate Diploma in Business Analytics, Business Analytics

  2017 — 2019

• Indian Institute of Technology, Kharagpur

  Bachelor of Technology (BTech), Naval Architecture and Ocean Engineering

  2010 — 2014

Skills

• Autocad
• Big Data Analytics
• Marketing Management
• C
• Programming
• Microsoft Office
• Microsoft Excel
• Adobe Photoshop
• Html
• Financial Accounting
• C++
• Business Analysis
• Python
• Sql
• Predictive Analytics
• R
• Microsoft Word
• Linear Regression
• Machine Learning
• Microsoft Powerpoint
• Organizational Leadership
• Java
• Solidworks
• Matlab
• Business Strategy
• Exploratory Data Analysis
• Windows
• Prezi