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computer-science's Introduction

πŸ›  Primary Tech Stack

Programming Languages

Python JavaScript LaTeX

Data Analysis

NumPy Pandas Plotly OpenCV

Machine Learning

scikit-learn PyTorch TensorFlow

Backend Development

Fast API Streamlit App Django Postman

DevOPs

Git Docker Kubernetes

Cloud Hosting

Netlify Vercel Heroku Digital Ocean Linode Amazon AWS Google Cloud

MLOPs

mlflow DVC

Databases

MySQL PostGres MongoDB

Frontend Development

HTML5 CSS3 React

⚑Areas of Interest

🌟 Synthesizing scripts to make development work flow easier

🌟 Crafting minimalistic Web and Desktop Applications to simplify daily mundane tasks

🌟 Composing and Contributing to open source applications for a community centered and transparent tech ecosystem

🌟 Investigating amusing insights by data analysis across various formats of data such as images,text,geospatial,medical records,pds,etc

🌟 Building tech communities and advocating for products for the future!

🌟 Forging Efficient APIs to enable clients translate their idea into a MVP

🌟 Mentoring young and inquisitive minds to explore their path in tech

🌟 Machine Learning and it's applications across multiple industries such as:

  • Healthcare
  • Climate Change and Environmental Sciences
  • Fitness
  • Sports
  • Advertising
  • And many more!

🌟 Playing with Computer Vision

🌟 Natural Language Process

🌟 Handling MLOPs for machine learning projects meant for collaboration

🌟 Working on Cloud Deployment of ML Applications to enable them scale and be at the fingertips of customers

computer-science's People

Contributors

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Stargazers

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Watchers

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Forkers

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