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👣I live in india 📧shuvammandal121@gmail.com

Intro.

💪🏻Currently DataScience intern @videodubber.ai And I'm an undergrad doing ML 🤖, also a 2x kaggle expert, ex-ineuron.ai ML intern and believe in open source📖. Skilled in Machine learning algorithms, data analysis, feature engineering, pattern recognition, and building pipelines etc. Other than this, fine tuning open source llms, merging llms, quantizing llms to make them available for any user. And to showcase the machine learning models, I use streamlit, flask, and tailwindcss for frontend.

Projects.

Yuj-v1:
The yuj-v1 model is a blend of advanced models strategically crafted to enhance Hindi Language Models (LLMs) effectively and democratically. Its primary goals include catalyzing the development of Hindi and its communities, making significant contributions to linguistic knowledge. The term "yuj," from Sanskrit, signifies fundamental unity, highlighting the integration of sophisticated technologies to improve the language experience for users in the Hindi-speaking community.
🤗:shuvom/yuj-v1
🌌:play arround with it

yDataPrep:
yDataPrep is a python package that helps while finetuning your llms, it simply tokenize the data and convert it into a format that can be used by the llms.
🐍:pypi package for it
📄:docs which you can go through

find you fav book:
This is a simple book recommendation system, which is built using the Book Recommendation Dataset. It uses the collaborative filtering method and popularity based filerting to recommend the books to the user. It recommends top 10 books to the user based on the user's interest.
🐈‍⬛:github is all you need
📄:docs which you can go through

Education.

I'm currently pursuing my B.Tech in Computer Science and Engineering with Artificial Intelligence and Machine Learning from Maulana Abul Kalam Azad University of Technology,Asansol Engineering college, West Bengal.
🎓grade: 8.53

Experience.

I worked as a Machine Learning intern at ineuron.ai where I learned about the machine learning models,recommender systems etc.
📅: 2023(mar-may)
🎁: Book Recommender system

I worked as a Data Science intern at videodubber.ai where I worked on finetuning the whisper model both full finetuning and also the last layer finetuning. I also worked with bark model by suno and some backend stuff.
📅: 2024(mar-may)

Achievements.

Best Innovative award:
I led and built a team of 5 members to develop a headset called holographic headset, which was awarded as the best innovative project in the college. Using the basic concept of holography of peper-ghost effect, we developed a headset that can be used to watch 3D movies, play games, and also to watch 3D models of the human body.

Kaggle expert:
I'm a 2x kaggle expert, and I have participated in many competitions and also have contributed to the kaggle community by sharing my notebooks and also by participating in the discussions.
🧑🏻‍🦱: here is my kaggle account

Skills.