Hey there !!

I’m Bincy Narath, a Data Scientist / Machine Learning Engineer with experience in developing and deploying machine learning and deep learning solutions. My work spans areas like Recommender Systems, Graph Neural Networks, NLP, and Generative AI, with a focus on translating research into practical applications.

My interest in mathematics, algorithms, and problem-solving drives me to balance technical understanding with real-world usability. Bringing a product from inception to production is a rewarding process, and continuous optimization remains a key challenge I enjoy tackling. I strive to maintain this balance between research and engineering in my work.

Before entering the ML field, I gained experience in Telecom, Networking, and Cloud Infrastructure, which helped me develop strong engineering, programming, and design-thinking skills for end-to-end problem-solving. I believe AI and machine learning are essential tools for bridging the gap between the impossible and the possible, with the potential to make a significant impact on society.

Beyond my professional interests, I enjoy fitness, yoga, and boxing. For me, life is all about embracing change and enjoying the process!

Thanks for stopping by! ❤️

Bincy Narath's Projects

reaction_tester

A Javascript powered reaction tester

recommenders

Best Practices on Recommendation Systems

tensorflow-deep-learning

All course materials for the Zero to Mastery Deep Learning with TensorFlow course.

tic-tac-toe

In Reinforcement Learning, the learning happens through the interaction with the environment. Actions are taken probabilistically, based on past experiences and based on the results, the learning is continuously improved to take better actions. By this, the long term returns are maximized. In this project, I have built a Reinforcement Learning Agent that plays Tic-Tac-Toe game with a normal player and learns the competitive skills over time. It is exactly like how humans learn!!

toronto_rental_etl_project

While Toronto is a beautiful place to live, no one would claim it is easy to find a place to rent in Toronto. To help current and potential Toronto residents better understand rental options available to them, we created a database containing the most recent rental listings as well other indicators of what it might be like to live at each address. In this project, we extract, transform and load data into the database and deliver this refined data through API services.

ufo_finding

D3.js is a powerful JavaScript library for manipulating documents based on data. In this project, D3.js along with js, HTML, CSS and bootstrap is used to present an ever-interesting topic. Aliens !!! Check it out!!!

vertex-ai-samples

Sample code and notebooks for Vertex AI, the end-to-end machine learning platform on Google Cloud

web-development

web development and hosting

youtube_trending

After watching a couple of trending YouTube videos, we asked ourselves, what makes the videos popular !!! and what if we could predict the popularity !!! After all, we want to help the struggling YouTuber/influencer community by providing them with valuable insights on trending. At the same time, predicting popularity would help the advertising firms to identify the best videos to invest upon. Above all, we want to know, if there are any interesting insights underlying the trending patterns? This project is all about our journey towards finding these answers. Stay tuned !!!

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