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anujpatil610/README.md

Hi there, I'm Anuj Patil! 👋

🚀 Data Science & Technology Professional

About Me

I am a dedicated Data Science graduate with expertise in transforming complex data challenges into actionable insights through advanced analytics and cutting-edge technology. My passion lies in leveraging data-driven solutions to solve real-world problems while maintaining the highest standards of technical excellence and collaborative innovation.

🎯 Core Expertise

Data Science & Machine Learning

  • Advanced machine learning algorithms and statistical modeling
  • Deep learning architectures (CNNs, RNNs) using TensorFlow and Keras
  • Predictive analytics and model optimization techniques
  • Feature engineering and data preprocessing pipelines

Geospatial Analytics & GIS

  • Spatial data analysis and remote sensing applications
  • GIS development with ArcGIS Pro, QGIS, and spatial databases
  • Geospatial visualization and interactive mapping solutions
  • Integration of GPS/GTFS data for transportation analytics

Cloud & Data Infrastructure

  • Cloud-native solutions on AWS (CloudWatch, Redshift)
  • Database management (PostgreSQL, MySQL, Snowflake)
  • ETL pipeline design and data integration workflows
  • Scalable data architecture and processing systems

Modern Development Practices

  • Version control and collaborative development (Git/GitHub)
  • Containerization and deployment (Docker, Dev Containers)
  • CI/CD pipeline implementation and automation
  • Reproducible workflows and environment management
  • Agile methodologies and project management

💼 Technical Stack

Programming & Analytics: Python, R, MATLAB, SQL Web Technologies: HTML, CSS, JavaScript, Node.js, React.js Data Science Tools: Pandas, NumPy, Scikit-learn, TensorFlow, Keras GIS & Spatial: ArcGIS Pro, QGIS, GDAL, PostGIS, ArcPy Cloud & Infrastructure: AWS, Docker, PostgreSQL, Snowflake Development: Git, GitHub Actions, FME, Jupyter, VS Code

🌱 Continuous Learning & Growth

Committed to staying at the forefront of technological advancement through continuous learning, experimentation with emerging technologies, and active participation in the data science and GIS communities. I believe in the power of knowledge sharing and collaborative problem-solving to drive innovation.

🤝 Leadership & Collaboration

Experienced in leading cross-functional teams, mentoring junior developers, and fostering collaborative environments that encourage innovation and knowledge sharing. I thrive in dynamic settings where diverse perspectives come together to tackle complex challenges.

📫 Let's Connect


Always open to collaborating on innovative data science, machine learning, and geospatial analytics projects. Let's connect and explore how we can leverage technology to create meaningful impact!

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  1. Analysis-of-Car-Crash-Data-and-Pavement-Ratings-in-New-York-City Analysis-of-Car-Crash-Data-and-Pavement-Ratings-in-New-York-City Public

    This project analyzes car crash data and pavement ratings in New York City to identify patterns and potential areas for improvement in road safety. The project involves merging two datasets - car c…

    Jupyter Notebook 1

  2. Big-Data-Inspection-NYS-Taxi-Trips Big-Data-Inspection-NYS-Taxi-Trips Public

    NYC Taxi Data Exploration: Analyze New York City taxi trip data from March 2013, featuring datetime analysis, Haversine distance calculations, and passenger trends. Includes data visualization and …

    Jupyter Notebook

  3. Climate-Change-Risk-and-Opportunity-Analysis Climate-Change-Risk-and-Opportunity-Analysis Public

    A project to analyze and predict carbon emissions across organizations and sectors to enable targeted climate interventions.

    Python

  4. Predictive-Analysis-and-Key-Determinants-of-Hotel-Booking-Cancellations Predictive-Analysis-and-Key-Determinants-of-Hotel-Booking-Cancellations Public

    This research aimed to create a robust predictive model for hotel booking cancellations using the Cat Boost classifier, a powerful gradient boosting machine learning algorithm known for its effecti…

    Jupyter Notebook

  5. flask-dashboard flask-dashboard Public

    The Zagimore Retail Store Dashboard is a web application built using Flask and Plotly to visualize and analyze retail store data. It provides interactive visualizations for sales distribution by pr…

    HTML