I am an AI Engineer. I am experienced in Python, Machine learning, C, Java, Deep Learning , Data Cleaning. I have also done some real life project for some company.
Python Automation Engineer [Intern]
As a backend developer, I played a pivotal role in the development of a Face Recognition Based Attendance System. My responsibilities included real-time face recognition implementation. I contributed to the project's success by managing databases, ensuring seamless data flow, and integrating various components. This System features an admin dashboard for efficient monitoring of student attendance..
This project is a movie recommendation system based on content filtering, which uses Cosine Similarity to recommend movies to users based on their preferences. The dataset used for this project is the TMDB 5000 Movies Dataset, which contains information about over 5,000 movies.
In the Health Diagnose System project, I took a leading role as a developer, utilizing Tensorflow, Pandas, Flask, and Numpy. My primary contribution involved training a neural network to effectively classify 43 diseases based on a selection of symptoms provided by users from a pool of 103 symptoms. This project showcases my expertise in machine learning and backend development for healthcare applications.
In this project, I was able to fine-tune ‘bertlarge-case’ model in Game of throne book raw text data using Masked Language Modeling .My main aim for this project was to see the difference in fine-tune BERT embeddings vs embeddings of ‘bert-large-case’ model will the Euclidean distance of both embedding for similar character be any different.
It’s an OTT platform like Netflix which i made from Tmdb API . As a Backend Web project, I utilized Django, a high-level Python web framework, to create a customized movie data platform. This experience highlights my skills in backend development, API integration, and utilizing Python for web applications.
The "ExoStock Time Series Forecasting" project aims to conduct a comprehensive analysis of historical stock data for Nepal top 30 Stock. Using time series analysis techniques, the project seeks to gain insights into the trends, patterns, and potential future performance of Nabil's stock.
This project implements a straightforward book recommendation system based on collaborative filtering. By utilizing cosine similarity between book vectors, it suggests books to users.
My name is Jyotsan Hamal, and I'm a Student who is currently studying BIT at Lincoln University. I like to research anything that tweaks my interest especially at the fields of NLP, you can check my github repo i have done some projects and research and.... that's all about me
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