Learning Machines
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Assessing your cultural and operational fit
Azure_diarization_test
June 20, 2022 – June 20, 2022
Test repo for checking azure speech sdks
View ProjectObjLoaderCpp
February 26, 2020 – February 29, 2020
A simple program to load .obj files using Cpp and OpenGL Libraries
View ProjectStock_Market_LR
February 1, 2020 – December 8, 2022
Simple Demo Usage of Linear Regression for Stock Market Prediction
View ProjectBHIRL
October 9, 2019 – December 8, 2022
Bayesian Hierarchical Inverse Reinforcement Learning for toycar obstacle avoidance in pygame(pymunk)
View ProjectImage-Question-Answering
June 21, 2019 – June 21, 2019
In this Jupyter Notebook contains over proposed approach for the model.
View ProjectIntelliMind_Tasks
March 30, 2018 – March 30, 2018
The Tasks given by IntelliMind are performed in this repository
View ProjectPattern_Recognition_and_Machine_Learning
February 27, 2018 – October 1, 2020
This repository consists of some of the works done by me in PRML college assignments
View ProjectIT556_The-ERRORs_DAIICT
January 28, 2018 – May 6, 2018
IT556_The-ERRORs_DAIICT — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a strong self-driven learning approach. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration and broader cultural fit within a corporate environment. The projects align with a Data Scientist role, but the depth and real-world application are limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback are available.