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Hello, I'm
Shuvam Das
Machine Learning Engineer
Hello, I'm
Machine Learning Engineer
Get To Know More
2+ years
ML and AI Development
Bachelor of Technology
IIT Dhanbad
My name is Shuvam Das. I am a final year student at IIT Dhanbad, pursuing B.Tech in Electrical Engineering. My keen interest lies towards Machine Learning Development and AI. I have a knack for working with data. I have 2.5 years of experience on working with various projects and internships. I have built some decent advanced real world projects both personally and during my internship. I was a Harvard Delegate for the HPAIR 2023. To know more about my skills and projects please download my CV.
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● Built a full-scale dense net model to detect anomalies in solar panels.
● Contributed to pitching a fully worked model to 4 clients and winning them to accept our solution.
● Built a model to detect wind speed for storm prediction for a weather disaster prediction system.
● Tech Stack: Computer vision, Machine Learning, Data Science, Python, Tensorflow, Pytorch, Python.
● Built a model to predict the carbon emission footprints of different products available.
● Along with the prediction system, I also added a recommender system to recommend lower-emission products.
● Researched and pre-processed more than 100,000 data for the finer model.
● Tech Stack: Machine Learning, Data Science, Python, MySQL, MongoDB, Pytorch, Python.
● Built a model to predict the carbon emission footprints of different products available.
● Along with the prediction system, I also added a recommender system to recommend lower-emission products.
● Researched and pre-processed more than 100,000 data for the finer model.
● Tech Stack: Machine Learning, Data Science, Python, MySQL, MongoDB, Pytorch, Python.
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● The model categorizes the prediction among different anomalies like cracking, vegetation, etc, and provides the damage it
can do in the following years with a detailed analysis of future revenue loss and maintenance cost.
● Tech Stack - Data Structures and Algorithms, Rest APIs, Flask, Deep Learning, Computer Vision, Docker.
● A website that will predict what the user is saying by reading the lips. This project can be used by deaf people allowing them to use online video communication.
It can also be used by customs or Bureau agencies to predict far conversations between suspected criminals through video
footage.
● Tech Stack - Tensorflow, Deep Learning, Flask, Streamlit, Python, Rest APIs, Open-CV
● Ideated and collaborated on a product to enable the blind people to use mobile phones very easily.
Created the algorithm to read hand gestures on mobile screens to depict the braille characters
Worked on the machine learning model to create the dot recognition to implement vibration.
● Tech Stack - HTML, CSS, JavaScript, Android Studio, Tensorflow, Deep Learning, Flask, Streamlit, Python, Rest APIs
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