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Assessing your cultural and operational fit
wine-quality-classes
May 19, 2022 – May 19, 2022
wine-quality-classes — GitHub repository
View ProjectFacial-Expression-Recognition-Project
May 3, 2021 – May 7, 2021
This repository contains Human Facial Expression Detection using CNN and SVM.
View ProjectMachine-Learning-Supervised
March 14, 2021 – July 23, 2021
This Repository contains basic Machine Learning Algorithms in Python Notebook.
View Project100-days-of-HackerRank
January 1, 2021 – April 24, 2021
This repository contains 100 day coding of Python and 50 day coding of SQL language of HackerRank.
View ProjectAutomatic-Lip-reading-using-CNN
July 3, 2020 – December 12, 2020
This is a small project which actually classifies 10 words and 10 phrases. The input is a video and the machine will find the word/phrase out of the 20 objects based on the facial and lip movements.
View ProjectWine-Quality-Prediction-using-ANN
June 29, 2020 – June 30, 2020
This is a classification project of Wine Quality using Artificial Neural Networks.
View ProjectPython-for-Data-Science-and-AI
June 29, 2020 – June 29, 2020
These are the notebooks for the Coursera course "Python for Data Science and AI".
View ProjectCultural Fit Analysis
The candidate's projects show a strong focus on personal learning and exploration within Data Science and AI, which aligns with a growth-oriented culture. However, the lack of team projects or professional experience makes it difficult to assess collaboration and broader cultural fit. The diversity of projects within the Data Science domain is good, but there's no information on contributions to open source or community involvement.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, and no experience or education details are provided.