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hemanthchebiyam/README.md

πŸ‘‹ Hello, World! I'm Hemanth Chebiyam πŸ‘¨β€πŸ’»

Welcome to my GitHub profile! I'm a passionate Data Science and Machine Learning enthusiast currently pursuing my MS in Data Science at the Rochester Institute of Technology. Here's a little bit about me:

πŸŽ“ Education

  • MS in Data Science - Rochester Institute of Technology, NY, USA (Aug 2023 - Present) πŸŽ“
    • πŸ† 4.0 GPA, Graduate Merit Scholarship Recipient
    • Core Courses: Software Construction (Java), Foundations of Data Science and Analytics, Database Design Implementation, Applied Statistics, Software Engineering for Data Science, Self-Adaptive Software Systems with Reinforcement Learning
  • PG Certificate in AI & ML - Birla Institute of Technology and Science, Pilani, India (Oct 2021 - Nov 2022) 🧠
    • Core Courses: Classification, Feature Engineering, Regression, Text Mining, Unsupervised Learning, Deep Learning and Artificial Neural Networks
  • BTech in Electrical & Electronics - Manipal Institute of Technology, India (Aug 2016 - Jun 2020) ⚑

πŸ’Ό Professional Experience

  • Automation and Test Engineer at L&T Technology Services, Mumbai, India (Jan 2021 - May 2023)
    • πŸ› οΈ Validated BMW Infotainment software systems, boosting defect analysis efficiency by 40% and test automation accuracy by 25%.
    • πŸš€ Automated 1500+ manual test cases, reducing test cycle time from 160 to 10 hours.
    • πŸ“Š Developed Jira and Power BI dashboards for defect tracking, leading to a 5x increase in defect detection.
  • Intern at L&T Technology Services, Mysore, India (Sep 2020 - Dec 2020)
    • πŸš— Engineered a PoC for smart vehicle collision zone detection, achieving a 30% reduction in potential collision events.
  • Head of Operations at MIT Football League, Manipal, India (Aug 2018 - Jul 2019)
    • ⚽ Increased player engagement to 250+ players by organizing comprehensive trials and drafts.
    • πŸ… Improved matchday experiences for 150+ players and 30 staff by streamlining logistics and coordination.
    • 🌐 Expanded league reach by 30% through the MITFL Futsal Challenge, attracting sponsorships and a larger audience.
  • Research Intern at Defence R&D Organization, Hyderabad, India (May 2018 - Jul 2018)
    • πŸ’£ Analyzed remote firing mechanisms of ballistic missiles, reducing launch time by 20%.

🧠 Projects

  • Reinforcement Learning in Autonomous Driving
    • 🏎️ Engineered reinforcement learning algorithms using OpenAI Gym Car Racing, reducing lap completion time by 40%.
    • πŸ€– Implemented PPO and DQN algorithms, observing agent behavior over extensive training sessions.
  • Intelligent Jira Tool: Duplicate Bug Detection using Machine Learning
    • 🐞 Created a dataset of 32,000 bug reports and implemented BERT encoding for duplicate detection, reducing resolution time by 40%.
    • ⚑ Deployed fastapi webserver for real-time user interaction.
  • Fraudulent Job Detection with SVM Model
    • πŸ” Analyzed 9000 job postings, identifying fraud patterns and optimizing model training with GridSearchCV.

πŸ”§ Skills

  • Machine Learning: Classifiers, Transformers, Neural Networks
  • Artificial Intelligence: NLP, Text Classification
  • Statistical Analysis: Applied Statistics, Data Analysis
  • Software Development: SDLC, Software Testing
  • Data Visualization: Power BI, Matplotlib
  • Databases: SQL Server, MySQL, PostgreSQL
  • Programming Languages: Python, Java, MATLAB, R
  • Tools: Excel, Git, JIRA

🌟 Interests

  • πŸ€– Artificial Intelligence & Machine Learning
  • πŸš€ Autonomous Systems
  • πŸ“Š Data Visualization & Analytics
  • 🧩 Problem Solving & Algorithms
  • ⚽ Football
  • 🎧 Music: Rap & Hip-Hop

πŸ“« Let's Connect!

Thanks for stopping by! Feel free to explore my repositories and reach out if you have any questions or collaboration ideas. πŸš€

Pinned Loading

  1. CarRacing-ReinforcementLearning CarRacing-ReinforcementLearning Public

    This repo hosts a sophisticated reinforcement learning setup for training a DQN agent in β€œCarRacing-v2”. It has self-adaptive features like dynamic learning rate and domain randomization to boost a…

    Jupyter Notebook 1

  2. aws-elastic-beanstalk-express-js-sample aws-elastic-beanstalk-express-js-sample Public

    Forked from aws-samples/aws-elastic-beanstalk-express-js-sample

    Sample web application for the AWS DevOps Engineer Learning Path.

    JavaScript

  3. GitHub-Actions-and-WordPress GitHub-Actions-and-WordPress Public

    SWEN-614

    HCL

  4. Reinforcement-Learning Reinforcement-Learning Public

    Implementation of RL Algorithms

    Jupyter Notebook

  5. ML-Algorithms-Data-Science ML-Algorithms-Data-Science Public

    Python

  6. AI-in-missile-tech AI-in-missile-tech Public

    Seminar Paper on Artificial Intelligence in Missile Technology and Military