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DataRohit/README.md

Hi 👋, I'm Rohit Ingole

I’m a B. Tech Data Science student focused on backend development with Python, Django, FastAPI, and Go. I enjoy tackling complex problems and bringing ideas to life through code. Right now, I'm diving into microservice architectures with Go and FastAPI, blending classroom learning with hands-on experience to build smarter data-driven solutions.

🌱 I’m currently learning Micro-service Architecture, gRPC, Protocol Buffers and
Asynchronous Programming in Python and Go Lang

👨‍💻 All of my projects are available at
https://github.com/DataRohit

💬 Ask me about
Python, Go Lang, Backend Development, Microservices and Machine Learning

How to reach me
[email protected]

📄 Know about my experiences
https://github.com/DataRohit/DataRohit/blob/main/Rohit-Vilas-Ingole-Resume.pdf

Connect with me

rohit-vilas-ingole datarohitingole

Frontend Development

bootstrap css3 html5 tailwind

Backend Development

django flask nginx go

Data Science and Machine Learning

python pandas seaborn scikit_learn tensorflow pytorch opencv

Databases

mysql postgresql mongodb redis sqlite

DevOps and Tools

docker grafana kibana rabbitMQ postman

Operating Systems

linux

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datarohit 

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  1. Stockastic Stockastic Public

    Stockastic is an ML-powered stock price prediction app built with Python and Streamlit. It utilizes machine learning models to forecast stock prices and help investors make data-driven decisions.

    Jupyter Notebook 12 30

  2. AI-Flappy-Bird-Game AI-Flappy-Bird-Game Public

    This is a reinforcement learning based project where multiple agents are created and trained to learn the play the flappy bird game.

    Python 1

  3. Django-Apartment-Management Django-Apartment-Management Public

    Alpha Apartments is a comprehensive web portal designed to streamline apartment management and communication for tenants and non-tenants (technicians). The platform features user-friendly interface…

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  4. Deep-Audio-Classification Deep-Audio-Classification Public

    This project aims to build a deep learning model for counting the number of Capuchinbird calls within a given audio clips. Here audio spectrograms and split-window approach is used to count the bir…

    Jupyter Notebook 1