Gaurav Bagul

About Gaurav Bagul

Experienced Data Scientist | Machine Learning | LLMs | Azure OpenAI | Django | AWS | Python | SQL I’m a passionate and results-driven Data Scientist at Tata Consultancy Services (TCS), with hands-on experience in designing, developing, and deploying data-driven solutions using Machine Learning, Large Language Models (LLMs), and AWS using ECR and ECS.A strong foundation in Python, SQL, and cloud platforms like AWS, I thrive on solving real-world problems through intelligent systems. I specialize in building robust REST APIs with Django, integrating AI models into production workflows, and delivering end-to-end data solutions from preprocessing to model deployment.Core Competencies:Machine Learning & Predictive ModelingLarge Language Models (LLMs) & Generative AI (Azure OpenAI)Django Framework & REST API Development Cloud Computing on AWSData Analysis, Visualization and SQL Optimization Model Deployment, MLOps & AutomationI’m continuously exploring the latest in AI/ML and always eager to collaborate on innovative projects that push boundaries.

Experience

1. Data Scientist

   Tata Consultancy Services

   Aug 2022 — Present · Pune, IN

   As a Data Scientist at TCS, I have led and contributed to various projects involving Machine Learning, Large Language Models (LLMs), and cloud-based AI solutions. My role bridges the gap between raw data and intelligent decision-making, delivering business impact through production-ready AI models and applications.Key Responsibilities & Achievements:Developed ML models for classification, regression, and clustering used in predictive analytics and intelligent automation.Integrated LLMs using Azure OpenAI to build advanced NLP-based solutions, including chatbots, summarizers, and insight extractors.Built RESTful APIs using Django, enabling seamless integration of AI models with web and mobile applications.Deployed models on AWS, utilizing EC2, S3, and Lambda for scalable and cost-effective cloud operations.Used Python extensively for data processing, model development, and scripting automation pipelines.Designed and optimized SQL queries for handling large datasets and creating insightful dashboards and reports.Automated end-to-end ML workflows, from data ingestion to model monitoring, improving operational efficiency.Tech Stack:Python, SQL, Azure OpenAI, Scikit-learn, Pandas, Django, REST APIs, AWS (Amazon Bedrock), Git, Postman, Jupyter

Education

• MIT Academy of Engineering, Alandi, Pune

  Bachelor of Technology - BTech, Engineering