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Notebooks-Practical-ML-Beginners
June 22, 2020 – November 8, 2020
Note book of all lessons
View ProjectAutomation-of-Traffic-Rules-and-Regulation
December 13, 2019 – December 13, 2019
Automation-of-Traffic-Rules-and-Regulation — GitHub repository
View ProjectAutograding-handwritten-mathematical-worksheets
December 5, 2019 – January 17, 2020
Image processing and computer vision model to automatically evaluate and grade handwritten mathematical equations
View ProjectPruning-Large-Neural-Network
December 11, 2018 – December 11, 2018
Pruning-Large-Neural-Network — GitHub repository
View ProjectDeep-Neural-Network-using-Numpy
December 11, 2018 – December 7, 2019
Deep-Neural-Network-using-Numpy — GitHub repository
View ProjectLSTM-Character-level-recognization
December 8, 2018 – December 11, 2018
In this project LSTM RNN is used as a generative model to generate entirely new plausible texts in our prime minister Narendra Modi's style
View ProjectEarthquake-analysis
October 5, 2018 – December 23, 2019
R Shiny web app to predict the magnitude of earthquake
View ProjectMachine-learning
August 27, 2018 – December 10, 2018
Machine-learning — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The diversity of projects, from earthquake analysis to traffic rule automation, indicates a broad interest in applying data science to different domains. However, without professional experience or team-based projects, it's difficult to fully assess collaboration and team fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.