Skip to content
View vivek-tiwari-vt's full-sized avatar

Block or report vivek-tiwari-vt

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
vivek-tiwari-vt/README.md

Hi there, I'm Vivek Tiwari πŸ‘‹

Vivek Tiwari Header Banner

Data Scientist passionate about leveraging machine learning and advanced analytics to uncover insights and drive growth.
Currently pursuing my Master's in Data Science at Indiana University Bloomington.


πŸ‘¨β€πŸ’» About Me

  • πŸŽ“ Pursuing M.S. in Data Science @ Indiana University Bloomington (Expected May 2025)
  • πŸŽ“ B.Eng. in Electronics & Computer Science @ Thakur College of Engineering & Technology (May 2023)
  • πŸ’‘ Specializing in ML models (Python, SQL, Spark) for actionable insights.
  • πŸš€ Experienced in developing scalable data solutions and collaborating on strategic initiatives.
  • πŸ“Š Skilled in communicating complex findings to diverse audiences.
  • 🌱 Eager to apply analytical rigor to optimize growth and efficiency, especially in fast-paced environments.

πŸ› οΈ Tech Stack

Programming & Tools:

Python SQL R Julia Git Docker Kubernetes Linux

Machine Learning & AI:

TensorFlow PyTorch Keras Scikit-Learn NLP Pandas NumPy

Data Engineering & ETL:

Apache Spark Apache Hadoop Apache Kafka PostgreSQL MongoDB Snowflake AWS Lambda

Cloud Platforms & CI/CD:

AWS GCP CI/CD

Data Visualization:

Tableau Power BI Matplotlib Seaborn


πŸ“ˆ Current Projects & Focus

  • 🧠 Exploring hybrid transformer-GNN models for complex network analysis.
  • ✨ Enhancing semantic feature extraction using spectral methods and graph self-attention.
  • πŸ“Š Developing predictive analytics solutions and optimizing data pipelines using Spark.
  • πŸ€– Building Generative AI applications for content optimization.
  • πŸ›’ Improving recommendation engines for better user engagement.

(Feel free to add more specific projects you're currently working on or learning here!)


🀝 Connect with Me

LinkedIn Medium


Pinned Loading

  1. Customer-Churn-Prediction Customer-Churn-Prediction Public

    Customer churn prediction system using machine learning (Logistic Regression, Random Forest) with advanced feature engineering and SHAP explainability. Achieves 89% AUC-ROC, identifies key churn dr…

    Jupyter Notebook 1

  2. Quantum-Stratagem-The-Advanced-AI-Chess-Engine Quantum-Stratagem-The-Advanced-AI-Chess-Engine Public

    Self Learning AI that plays chess against stockfish AI and has a 33% win rate on medium level games. Used Heuristic Neural network along with Alpha beta Pruning to get the best moves to play

    Python 1

  3. Product-Recommendation-Engine Product-Recommendation-Engine Public

    Hybrid recommendation engine combining collaborative filtering and NLP for personalized product suggestions. Boosts click-through rates and user engagement with real-time API deployment on AWS EC2.

    Python 1

  4. Social-Media-Sentiment-Analysis-Trend-Forecasting Social-Media-Sentiment-Analysis-Trend-Forecasting Public

    End-to-end system using BERT , Airflow , and FastAPI to analyze 200K+ tweets/month, achieving 85% accuracy in sentiment prediction. Integrated MLOps and cost-free deployment (AWS) ensure scalabilit…

    Jupyter Notebook

  5. AIDB AIDB Public

    AIDB is a versatile multi-model database designed to handle various data types, including structured, unstructured, graph, key-value, and multimedia data. It provides a unified interface for storin…

    Python