
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
pytest-re
March 31, 2026 – Present
A pytest plugin to re-run tests from JUnit XML reports
View Projectcloud-run-ai-deployment
May 19, 2025 – May 19, 2025
cloud-run-ai-deployment — GitHub repository
View Projectetl-test-framework
February 8, 2020 – February 9, 2020
A python based test framework for ETL testing
View Projectweb-automation
April 5, 2019 – April 6, 2019
Python based frontend automation framework using selenium
View Projectnatural-language-processing-python
February 25, 2019 – February 27, 2019
natural-language-processing-python — GitHub repository
View Projectdeep-learning
February 24, 2019 – February 25, 2019
Demp project to implement ANN and CNN using Keras and TensorFlow with Python
View ProjectML-Model-Flask-Deployment
February 16, 2019 – February 17, 2019
Demo project to show how Machine Learn Models are deployed on production using Flask API
View ProjectStanford-Machine-Learning
February 4, 2019 – September 8, 2019
Programming Assignments from Andrew NG's Machine Learning course
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in self-learning and practical application of data science and machine learning concepts. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit. The projects align with a Data Scientist role, but the 'experienceLevel' is 0, indicating a junior profile.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric or English test scores provided.