Jatin Ahuja
Data ScientistFounder @yellow-paper-ai | Lead MLE
Yellow Paper
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Founder @yellow-paper-ai | Lead MLE
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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.