Skip to content
View SooryaMohanarengan's full-sized avatar

Block or report SooryaMohanarengan

Report abuse

Contact GitHub support about this userโ€™s behavior. Learn more about reporting abuse.

Report abuse
SooryaMohanarengan/README.md

Hi there! ๐Ÿ‘‹ I'm Soorya Mohanarengan

๐Ÿš€ AI & Product Strategist | Data Scientist
Transforming data into intelligent products that drive impact at scale.

LinkedIn
GitHub


โœจ Who I Am

Iโ€™m a developer based in Toronto ๐Ÿ‡จ๐Ÿ‡ฆ, passionate about transforming data into intelligent products that create real-world impact. With a background in Artificial Intelligence and Data Science, I enjoy building solutions that bridge the gap between cutting-edge research and everyday usability.

๐Ÿ’ก I bring a product mindset to every project, designing AI solutions that are intuitive and accessible. For me, the best products are built with users at the center โ€” technology should adapt to people, not the other way around.

Iโ€™m currently exploring:

  • ๐Ÿค– Empathetic AI products โ€” powered by ML, DL, NLP, and GenAI that are designed to deliver real value
  • โ˜๏ธ Cloud-native AI solutions with Google Cloud(Vertex AI), AWS, Docker, and modern API frameworks
  • ๐Ÿ”ฎ Building ethical, responsible and trustworthy AI that amplifies human potential

๐Ÿ“Œ Curious to see what Iโ€™ve been working on? Check out some of my featured projects pinned below.


๐Ÿ› ๏ธ What I Build With

๐ŸŒ Languages I Think In

Python R SQL JavaScript


๐Ÿค– AI/ML Playground

NumPy Pandas OpenCV TensorFlow PyTorch Scikit-learn Keras LangChain Hugging Face


โ˜๏ธ Cloud & MLOps

Google Cloud AWS Vertex AI Dataiku Docker GitHub Actions


๐ŸŒ Letโ€™s Connect!

๐Ÿค Letโ€™s connect, share ideas, or even collaborate on something exciting!

Email Me LinkedIn Portfolio Substack

๐Ÿ“ Based in Toronto, ON, Canada


โœจ โ€œStay curious, build with purpose, and let data tell the story.โ€

Pinned Loading

  1. Wine-Quality-Prediction Wine-Quality-Prediction Public

    This repository is about predicting wine quality using various regression models. It includes data exploration, model selection (balancing accuracy and explainability), performance evaluation, and โ€ฆ

    Jupyter Notebook