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Rohan1-tech/README.md

Hi there 👋

I'm Rohan Pagare

GitHub LinkedIn

🧑‍💻 Emerging Data Scientist

A results-driven data scientist with a solid foundation in machine learning, statistical modeling, and real-world data analysis. I am passionate about solving complex problems through data and delivering scalable, data-driven solutions in high-impact environments.

Currently deepening my expertise in:

  • 🐳 Containerizing models with Docker
  • 🌐 Designing real-time APIs
  • ☸️ Exploring scalable deployment using Kubernetes

🧠 Specializations:

  • Distributed Machine Learning
  • Model Deployment & Scalability
  • Real-Time API Design

🛠️ Technical Skills:

Programming:
Python 🐍, SQL

Tools & Technologies:
Docker 🐳, Kubernetes ☸️, TensorFlow, PyTorch, Scikit-learn

Databases:
MySQL, PostgreSQL, MongoDB

Data Analysis & Visualization:
Pandas, Numpy, Matplotlib 📊, Seaborn

Version Control:
Git, GitHub

Pinned Loading

  1. Airbnb-Booking-Data-Analysis Airbnb-Booking-Data-Analysis Public

    Analyzed Airbnb listings data in New York City for 2019 to uncover trends in pricing, neighborhood preferences, and occupancy rates. Applied data cleaning, visualization, and statistical techniques…

    Jupyter Notebook 1

  2. Applied-statistics-grind Applied-statistics-grind Public

    The "Applied Statistics Interview Grind" capstone project focuses on mastering statistical concepts and techniques crucial for data science interviews. It involves solving real-world problems throu…

    1

  3. Hybrid-Machine-Learning-Model- Hybrid-Machine-Learning-Model- Public

    Hybrid Machine Learning Model combining Logistic Regression, Random Forest, and XGBoost to improve classification accuracy through ensemble voting. Includes full pipeline: data preprocessing, EDA, …

    Jupyter Notebook 1

  4. Identifying-Market-Crashes-Case-Study Identifying-Market-Crashes-Case-Study Public

    This project analyzes historical market data to identify patterns and indicators that precede market crashes. Using statistical analysis and machine learning techniques, it aims to detect early war…

    Jupyter Notebook 1

  5. Unsupervised-ML---Netflix-Movies-and-TV-Shows-Clustering Unsupervised-ML---Netflix-Movies-and-TV-Shows-Clustering Public

    This project involves clustering Netflix movies and TV shows based on various attributes such as genre, country, release year, and rating. The dataset includes 7,787 entries with details like titl…

    Jupyter Notebook 1

  6. ML-Case-Study ML-Case-Study Public

    Jupyter Notebook