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Assessing your cultural and operational fit

AI/ML Enthusiast. ML | Deep Learning | C | C++ | C# | Python | MySQL | HTML | CSS | JavaScript
@NextTechLab @SRM-HackerEarth
Deep learning Engineer
June 12, 2026 – Present
Bike-Sharing-dataset-Machine-Learning
September 4, 2022 – September 4, 2022
Multiple-LinearRegression performed on the Bike Sharing dataset from kaggle
View ProjectBoston-Housing-dataset-Machine-Learning
September 3, 2022 – September 3, 2022
Multiple-LinearRegression performed on the Boston Housing dataset from kaggle
View ProjectKC-house-dataset-Machine-Learning
September 1, 2022 – September 4, 2022
LinearRegression performed on the KC House dataset from kaggle
GANs-Implementation
August 30, 2022 – September 1, 2022
Implementation of GANs (2014) research paper
View ProjectViolence-Crime-Detection-carma
August 19, 2022 – September 4, 2022
A LRCN model extensively trained to detect violence based volatile events in real-time CCTV footage
View ProjectRock-Paper-Scissors-Game
March 10, 2022 – March 17, 2022
A 1vs1 rock paper scissors game against the computer
View ProjectNumber-plate-recognition
February 28, 2022 – February 27, 2024
Number-plate-recognition — GitHub repository
View ProjectLoan-Status-Dataset--Machine-Learning
March 29, 2021 – April 22, 2021
Performed various Machine Learning Algorithms on a loan-status dataset from IBM
View ProjectTo-Do-list-App-Tkinter
February 23, 2021 – August 30, 2022
To-Do List App/GUI made using Tkinter module
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on personal exploration in machine learning and deep learning, which aligns with the target role's technical domain. However, the breadth of technologies and project types is somewhat limited, mainly revolving around Python and Jupyter Notebook for ML/DL tasks. The single listed experience is current and in the target role, but lacks details on responsibilities or achievements. This suggests a focused interest but limited demonstrated diversity in application or collaboration.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.