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vamsimessi10/README.md

🚀 Data Science + Machine Learning | Sports | Analytics 📊⚽🏀

Hey there! 👋 I'm a sports enthusiast turned data scientist 🏆📈, fascinated by the power of statistics & analytics. Here's my journey, dating from now – backward in time ⏳🔙:

🏁 Career Timeline:

🔹 💻 Data Scientist – Transforming data into insights & strategies! 🤖📊
🔹 🎓 Masters in Statistics – Michigan State University 🎯📚
🔹 📊 5.5 years in Analytics – Walmart, Olacabs, Latentview (India) 🏢💡
🔹 🎓 BITS Pilani Graduate – One of India's finest institutions 🇮🇳🏆
🔹 📈 Passion for Data & Sports – The spark that ignited it all! 🔥⚽🏀

🛠️ Skills & Expertise:

🔬 Technical Arsenal:

🔹 Languages & Tools: SQL 🛢️ | R 🐍📊 | Python 🐍 | ML 🤖 | Deep Learning 🧠
🔹 Business Intelligence & Visualization: Tableau 📊 | Power BI 📈 | Looker 🔍
🔹 Forecasting & Modeling: Predicting trends before they happen! 🔮📉

🏢 Industry Domains:

🎭 Entertainment | 🛍️ Retail | 🚚 Supply-Chain | 🚖 Transportation | 🌐 Consulting

🎯 Other Expertise:

🔹 Supply-Demand Analysis ⚖️ | Growth & Stickability 📈 | Marketplaces 🏪
🔹 Cross-functional Collaboration 🤝 | Project Management 📅 | Roadmaps 🗺️
🔹 Effective Communication 🎤 | Storytelling with Data 📢 | Stakeholder Management 🎯

🚀 Let's Connect!

If you're as passionate about data, sports, and problem-solving as I am, let's chat! 🤝
💬 Feel free to check out my projects, and don't hesitate to reach out! 📩

📧 Email me at: adibhat1@msu.edu 📬

📍 "Turning raw data into game-changing insights!" 🔥🏆

✨ "Data is the new playbook, and I'm here to make every move count!" 🎯📊🏀

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  1. Soccer-Data-Web-Scraping-Visualization-Analysis Soccer-Data-Web-Scraping-Visualization-Analysis Public

    Involves Web Scraping, Cleaning, EDA, Visualization. Modelling is a Work-in-Progress

    Jupyter Notebook 1

  2. Neural-Networks_-_Deep-Learning Neural-Networks_-_Deep-Learning Public

    Logistic Regression, Shallow, and Deep Neural Networks

    Jupyter Notebook 1

  3. Natural-Language-Processing-Clustering-Unsupervised-Learning Natural-Language-Processing-Clustering-Unsupervised-Learning Public

    The aim of this analysis to perform 2 main tasks: 1) Axis Projection of Users 2) Unsupervised Learning - Heirarchical Clustering to be precise

    Jupyter Notebook 1

  4. Classic-Machine-Learning-Models-RandomForest-Boosting Classic-Machine-Learning-Models-RandomForest-Boosting Public

    Predicted wait time at a junction using Random Forest Regressor. Used XGBoosting and Decision Trees as well but Random Forest gave the better estimate

    Jupyter Notebook 2

  5. Classification---Customer-Online-Shopping-Behavior Classification---Customer-Online-Shopping-Behavior Public

    Customer Online Shopping Behavior - Modeling how Bounce Rates, Page Views impact revenue

    HTML

  6. General-Python-Codes General-Python-Codes Public

    Jupyter Notebook