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Founder @yellow-paper-ai | Lead MLE
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Yellow Paper
Data Scientist
June 19, 2026 – Present
Document-Classification
February 9, 2025 – February 9, 2025
Document-Classification — GitHub repository
View ProjectDocument-Classifier
January 29, 2025 – January 29, 2025
This project is a Python-based document classification and extraction service that processes document images and classifies them into three categories: invoice, budget, and email.
View ProjectFaceNet
March 29, 2018 – March 29, 2018
Implementation of face verification and face recognition system. Most of the work i did in this notebook was inspired by FaceNet paper(https://arxiv.org/abs/1503.03832) . It was also an assignment of deep learning specialization in coursera.
View ProjectStudent-Performance-Analysis
February 14, 2018 – February 14, 2018
Student-Performance-Analysis — GitHub repository
View ProjectChurn-Prediction
January 11, 2018 – January 13, 2018
This repository contains an ipython notebook which implements an Artificial Neural Network using keras to do churn prediction .
View ProjectCNN-implementation-for-binary-image-classification
January 11, 2018 – January 11, 2018
This repository contains an ipython notebook which implements a Convolutional Neural Network to do a binary image classification. I used this to classify Cats vs Dogs and you can get the dataset from here https://www.kaggle.com/c/dogs-vs-cats/data . (This model trains with thousands of input images so be patient.)
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards data science and machine learning, which aligns with a Data Scientist role. However, the projects are predominantly personal and lack details on team collaboration or real-world impact, making it difficult to fully assess cultural fit. The 'zunoapp_lihtc' and 'THE-BOT' projects indicate some exposure to web development technologies (HTML, CSS, JavaScript, TypeScript), suggesting a broader technical interest, but these are not directly relevant to a pure Data Scientist role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience is primarily in personal projects, and no psychometric or English test scores are available.