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Software Engineer at Tata Consultancy Services | Data Engineer | Digital Cadre | AI/ML Enthusiast | Python | Java | SQL | Data Structures & Algorithms | AWS | Full-stack Developer | 100K Instagram | 5K X

  • DOB: 14/10/2001
  • Address: HAL Township, Balanagar, Hyderabad, TS 500042 India
  • Phone: +91 7989256101
  • E-mail: pavan9b@gmail.com
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Experience
11/2023 - Present
Software Engineer - Tata Consultancy Services
  • Nissan Data Platform: Developed AWS Lambda APIs and Streamlit front-end using Python, Boto3, S3, Snowflake, and API Gateway. Enabled secure, event-driven data ingestion workflows, reducing processing time by 35%.
  • Achieved 100% test coverage using Pytest, Moto, and AppTest, improving platform reliability.
  • Nomura Capital: Developed scalable ETL pipelines using Apache Spark and SQL, enabling efficient processing of large-scale financial data and improving throughput by 30%.
  • Migrated data pipeline from MapR to MinIO, introducing Parquet-based intermediate storage accessible via Dremio for easier debugging and validation of intermediate results. Improved pipeline execution time by 30% and reduced the load on SQL Server.
03/2021 - 04/2021
Data Analytics Intern - TCS iON
  • Applied ensemble learning techniques to predict employee attrition with 86% accuracy.
  • Built a FastAPI backend to serve the attrition prediction model as a REST API.
09/2021 - 12/2021
AI Intern - FutureSkills Prime
  • Developed and evaluated a cancer prediction model with 85% prediction accuracy.
  • Deployed the model as a web application with Azure App Service.
Education
08/2019 - 09/2023
College: Guru Nanak Institutions Technical Campus

Degree: Bachelor of Technology - BTech
Major: Computer Science & Engineering
Grade: 8.2 (First Class with Distinction)
Relevant Coursework: Data Structures & Algorithms, Operating Systems, Computer Networks, Web Technologies, Object Oriented Programming, Database Management System, Software Engineering

Minor: Artificial Intelligence/ Machine Learning
Grade: 8.58 (First Class with Distinction)
Relevant Coursework: Deep Learning, Natural Language Processing, Foundations of Artificial Intelligence, Artificial Intelligence Applications
Languages
  • Python
  • Scala
  • Java
  • SQL
  • HTML
  • CSS
Frameworks
  • Apache Spark
  • FastAPI
  • Streamlit
Developer Tools
  • AWS
  • AutoSys
  • Docker
  • GitHub
Cloud & DevOps
  • pandas
  • NumPy
  • NLTK
  • Boto3
Projects
An AIO Healthcare System
Python, Streamlit, Machine Learning, GCP, Docker
  • Built an ML-powered healthcare platform for disease prediction, achieving over 87% accuracy on liver disease, diabetes, and heart disease.
  • Designed an OpenAI-powered chatbot to provide personalized health recommendations to users.
  • Developed a Streamlit application integrating disease prediction models and a chatbot; containerized the platform using Docker and deployed it on GCP.
Movie Recommendation System
Python, Streamlit, Machine Learning, Azure, Docker
  • Developed a Movie Recommendation System using NLTK and cosine similarity, achieving 85.3% accuracy in suggesting relevant movies based on content analysis.
  • Built a Streamlit web application with seamless API integration to TMDB, optimizing data processing to fetch movie entries in under 2 seconds for real-time queries.
  • Containerized the application with Docker and deployed it on Azure as a microservice, improving scalability and maintainability.