Hey There, Welcome to my website. I am currently a final year undergrad at Kalyani Government Engineering College. My expertise lies in the field of Machine Learning, Deep Learning and Computer Vision. I am capable of building complete end-to-end ML/AI related projects. I also have working experience in Flask and Django. In case you need any of these skills feel free to contact me. Thank you.
Worked on optimisation of the training script for the paper "FaceNet: A Unified Embedding for Face Recognition and Clustering"
by Google and trained it on the VGG Face2 dataset with 3.3 million images. My work mainly included:
Writing code for creating triplets that is positive, negative and anchor image from the dataset and pass it to the dataloader.
Connecting our pytorch script with weights and biases for better visualization.
Tuning some important parameters like learning rate, margin of triplet loss and batch size.
Writing code that would truncate the parameters of the pytorch model to 8 bits at the time of training and also post training.
I was responsible for working on a project that recommends the best stocks to a customer from a pool of around 10k stocks. I had developed the ranking system and worked on data pipelining, development of strategies and calculating return percentages using a library called backtesting.py . The tech stack included Flask, Bootstrap, backtesting.py and other ML related libraries.
My job at Acadboost was to create a full fledged 25 hours course on Machine Learning for poeple who are absolutely beginner in Programming The Course included tutorials on Python, Numpy, Pandas, Matplotlib, Seaborn, Sci-kit Learn, thoery and application of some ML algorithms like Linear Regression, Logistic Regression, Decision Tree and Random Forest, some feature engineering techniques like handling missing values, outliers and categorical variables and some introduction to deep learning.
My duty at my college's Developer Club is to promote Machine Learning to all the students interested in ML. Recruit People who are good at Machine Learning to the Club Conduct Ocassional sessions that focuses on different Machine Learning Ideas.
Current CGPA - 9.41
Class 10 Overall Score - 91.8 %
Class 12 Overall Score - 84 %
I am guy loves to participate in competitions and hackathons. In my free time I develop simple website with data analysis or machine learning implementation in it. The websites are mostly developed with the help of flask, rarely I use Django as well. Here I have displayed a few solutions from some of the hackathons that I have participated in.
This is the notebook for the submission of the TPS competition in kaggle. I got a top 15 % finish with this.
Visit The NotebookThis is a notebook where I have used transfer learning with VGG16 on the Cat and Dog dataset
Visit The NotebookMy notebook on the Kaggle competition to detect gravitational wave signal from detector noise.
Visit The NotebookHere, I have discussed everything about Logistic regression. It contains everything from theory to code implementation and also got a great feedback.
Visit The BlogThis is a Technical Blog that I wrote about outliers that tries to explain what are outliers are including its mathematics and intuition and how they impact predictions
Visit The BlogThis blog is written for absolute beginners, giving them an idea about what are the important concepts that one needs to understand to learn machine learning.
Visti The BlogThis is a project where I have scrapped some economical data of India from the Internet using beautiful soup
Check The Github RepoThis is the submission repository for the evaluation for the project of Deeplense of organization ML4SCI
Visti The Github RepoThis is still a on going project where I try to visualize different aspects of Indian states and India as a whole
Check The Github Repo