Software Engineer, Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AvatarGAN
May 14, 2021 – October 14, 2023
Generate Cartoon Images using Generative Adversarial Network
View Projectcommercial-centers-using-POI
October 3, 2019 – October 28, 2024
Identify commercial centers using Points of Interest (POI) data by clustering these points into commercial centers/markets
View Projecttraffic-sign-detection
September 19, 2019 – October 1, 2019
Traffic Sign Detection Training using YOLOv3
View ProjectAnalyticsVidhya-India-ML-Hiring-Hackathon-2019
August 27, 2019 – February 13, 2023
Analytics Vidhya India ML Hiring Hackathon 2019
View Projectdress-pattern-recognition-using-CNN
April 16, 2019 – July 18, 2020
An image recognition model which is capable of identifying the pattern on a dress image
View Projectface-recognition-using-deep-learning
April 1, 2019 – February 18, 2024
Identify faces from video and images using OpenCV and Deep Learning
View Projectface-detection
March 26, 2019 – April 29, 2021
Face Detection with OpenCV and Machine Learning
View Projecthand-gesture-recognition
March 13, 2019 – February 22, 2020
Detect number of fingers from image or video using OpenCV
View ProjectSolveSudoku
December 19, 2018 – October 1, 2020
Extract and solve sudoku from an image using Computer Vision and Deep Learning
View Projecthandwritten-digit-recognition
December 17, 2018 – February 22, 2024
This project demonstrates Handwritten digit recognition using Deep Learning
View ProjectCultural Fit Analysis
The candidate demonstrates a strong interest in personal projects related to computer vision and deep learning, which aligns with a data scientist role focused on these areas. However, the lack of diverse project types (e.g., NLP, time series, traditional ML, MLOps) and no team-based projects might indicate a narrower scope of experience or preference for individual contributions. The absence of professional experience or education details makes it difficult to fully assess cultural fit within a structured team environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.