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jalpatel11/README.md

I'm a Data Science & Engineering Student, Research Enthusiast, and Creative Learner πŸŽ“.

🧠 About Me

  • Pursuing an MS in Data Science, Analytics & Engineering at Arizona State University
  • Experienced in software development, data engineering, and machine learning
  • Proficient with full-stack web development, cloud platforms, and geospatial data processing
  • Passionate about developing scalable ML pipelines and working on interdisciplinary research projects

πŸ’Ό Technical Experience

πŸ”§ Software Engineering

  • Developed backend services and web applications using Python, Flask, and React
  • Built containerized applications with Docker, deployed using AWS EC2/ECS
  • Implemented CI/CD pipelines using GitHub Actions and DockerHub

πŸ“Š Data Science & ML

  • Built ML models using scikit-learn, TensorFlow, and PyTorch
  • Worked on projects involving image segmentation, recommendation systems, and optimization
  • Performed data wrangling and preprocessing with Pandas, NumPy, and Spark

🌍 Geospatial Analysis

  • Processed satellite imagery using rasterio, Earth Engine, and OpenCV
  • Created land cover maps with U-Net, using Sentinel-2 and Dynamic World datasets

πŸ’‘ I’m Currently Exploring

  • Advanced deep learning architectures (ResUNet, FPN)
  • JAX & differentiable programming
  • AI for remote sensing & environmental monitoring

πŸ’Ό Technical Skills

C C++ Python Java HTML5 CSS3 Javascript

TensorFlow Torch Docker Kubernetes

IDEs πŸ§‘β€πŸ’»

Jupyter Notebook PyCharm Sublime Text Visual Studio Code

Tools & Platforms

  • Neo4j, Jupyter Notebooks, Git, Tableau, ArcGIS Pro

πŸ“« Connect with Me

LinkedIn | GitHub

For questions and feedback, feel free to reach out!

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  1. calmindra calmindra Public

    A Dockerized, full-stack mental-health chatbot with a Next.js/TypeScript frontend, FastAPI backend, and locally hosted Ollama model for empathetic, context-aware conversations.

    TypeScript

  2. phoenix-landcover-segmentation phoenix-landcover-segmentation Public

    A TensorFlow/Keras U-Net pipeline for land-use segmentation of Central Phoenix Sentinel-2 imagery (2022–2025) with Dynamic World labels, featuring patch-based training, evaluation notebooks, and hi…

    Jupyter Notebook

  3. book-recommender-system book-recommender-system Public

    This project implements a user-based collaborative filtering recommender system using the Book Crossing dataset. The system recommends personalized book titles by identifying similar users based on…

    Python