
Love any and every thing that is programmable
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
IIT (ISM) Dhanbad
Data Scientist
June 25, 2026 – Present
MLplus
August 26, 2019 – October 25, 2021
Machine learning library implemented from scratch in c++
View ProjectNeuroEvolutionOfAugmentingTopologies
May 20, 2019 – September 6, 2019
Python implementation on NEAT (NeuroEvolution of Augmenting Topologies). Paper - http://nn.cs.utexas.edu/downloads/papers/stanley.ec02.pdf
View ProjectNeuroEvolutionary-Self-Driving-Car
September 30, 2018 – October 11, 2018
NeuroEvolutionary-Self-Driving-Car — GitHub repository
View ProjectNeuroEvolutionary-Self-Driving-Car
August 17, 2018 – October 8, 2018
Self Driving Car equipped with Neural Network evolved using Genetic Algorithm.
View ProjectautomateGit
August 14, 2018 – August 14, 2018
Quick method of carrying out git operations using batch files.
View ProjectProgramming
March 22, 2018 – December 7, 2022
This is the backup of my local working directory
View ProjectImageCompress
March 11, 2018 – August 6, 2018
This is the project that I (Osama Ashhad Azmi) and Ali Asgar Sabir worked on during the mini-hackathon organized by CyberLabs on 11/03/2018.
View ProjectWinter_project
December 22, 2017 – February 26, 2018
Work done in Machine Learning in Winter of 2017
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration in machine learning and programming. The diversity of technologies used (Python, Java, C++, JavaScript, Matlab, Processing) indicates a willingness to learn and adapt. However, the projects are primarily personal and lack details on collaborative efforts or real-world impact, making it difficult to fully assess cultural fit in a team or corporate environment. The target role is Data Scientist, and the projects align well with the technical aspects of this role, particularly in ML implementation.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are brief, and no psychometric or English test results are available for evaluation.