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MNIST
December 23, 2024 – December 23, 2024
This project implements a deep learning model for handwritten digit recognition using the MNIST dataset. Built with TensorFlow in Python, the model achieves high accuracy in classifying digits from 0 to 9. The repository includes code for training, testing, and saving the model, as well as loading the model for predictions.
View ProjectPattern
September 5, 2024 – September 10, 2024
Important pattern problems that you must solve before starting DSA.
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative in learning various technologies, including Java for DSA and Python for machine learning and web development. This indicates a proactive learning attitude. The diversity of projects, from fundamental algorithms to deep learning and web frameworks, suggests an adaptable individual. However, the projects are primarily personal and foundational, which might require significant mentorship for integration into a senior team environment. The target role is 'Data Scientist', and while the MNIST project aligns, other projects are less directly relevant to advanced data science roles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.