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Hi πŸ‘‹, I'm Chandra Prakash Bathula

πŸ“ Saint Louis, MO, USA Β |Β  βœ‰οΈ Email Β |Β  πŸ’» GitHub Β |Β  πŸ”— LinkedIn Β |Β  πŸ“ Medium Β |Β  🌐 Portfolio


πŸš€ About Me

I'm an Machine Learning Practitioner and Applied AI Researcher with a passion for building impactful solutions across domains like NLP, Computer Vision, and Data Science. From transforming video-to-text workflows to crafting intuitive web experiences, I blend creativity with insights & analytics.

πŸŽ“ MS in Information Systems, Saint Louis University (GPA: 3.93/4.00)
πŸ‘¨β€πŸ« Faculty @ Saint Louis University | πŸ›  Ex-Associate Software Engineer @ Qentelli | 🧠 Lifelong Learner & Innovator


πŸ”§ Tech Stack

Languages: Python, R, SQL, JavaScript, TypeScript, MATLAB
ML/DL: Scikit-learn, TensorFlow, PyTorch, Keras
Visualization: Tableau, Power BI, Matplotlib, Seaborn
Web: React.js, Vue.js, Node.js, Django, Flask
Tools: Git, GitHub, AWS, Jupyter, VS Code, PyCharm
Data: Pandas, NumPy, Firebase, APIs, Airflow
Project Mgmt: Jira, Agile, UI/UX Prototyping (Figma)


πŸ’‘ Featured Projects

  • EliteNotes App – AI-driven note summarization with multilingual support 🌐 Try it

  • VizFlixGPT – Movie recommendation using GPT + TMDB πŸ’» GitHub

  • TubeFlix – Smart YouTube-style streaming app 🌐 Live Demo

  • Taxi Demand Forecasting – <12% MAPE using XGBoost

  • Apparel Recommender – CV + NLP hybrid (TF-IDF, Word2Vec, CNN)

  • Interactive Tableau Dashboards – Explore

  • Farmers App UX Design – View Figma


πŸ† Highlights

  • πŸŽ– Distinguished Student Award for graduate research.
  • ✍️ 100+ Blogs on ML, DL, & applied AI – Read on Medium
  • πŸ‘¨β€πŸ« Teaching ML/Software Dev to professionals & students with practical fusion approaches.

πŸ“Œ Current Goals

  • 🎯 Writing in-depth blogs on Deep Learning Series (2025)
  • πŸ§ͺ Publishing ML research papers (NeurIPs, ICML, CVPR, AISTATS, AAAI)
  • πŸ” Exploring LLM-augmented interpretability for healthcare AI
  • 🌱 Building an open-source AI/ML experimentation UI

✨ Quote I Live By

β€œEven if you've failed 100 times, try once more.”


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  1. Apparel-Recommendations Apparel-Recommendations Public

    This project implements a personalized apparel recommendation engine using content-based search with the Amazon API, NLTK, and Keras libraries.

    Jupyter Notebook 17

  2. LLM_Finance_Project LLM_Finance_Project Public

    LLM Finance Project and with Langchain.

    Jupyter Notebook 2

  3. LLM_Project LLM_Project Public

    LLM Project.

    Jupyter Notebook 2

  4. Movie-Recommendation-System Movie-Recommendation-System Public

    A Comparative Machine Learning Case Study: Movie Recommendation System Using Collaborative Filtering and Content-Based Filtering

    Jupyter Notebook 2

  5. PCA-in-3D PCA-in-3D Public

    3D visualizations of vector embeddings.

    Jupyter Notebook 2 1

  6. TV-SHOW-RECOMMENDATIONS TV-SHOW-RECOMMENDATIONS Public

    TV Shows recommendation system using cosine-similarity in ML with the help of TMDB dataset 🍿🎬.

    Jupyter Notebook 2