
Machine Learning Beginner
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Imbalanced-Data-with-SMOTE-Techniques
October 4, 2020 – October 6, 2020
This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalance in a binary classification problem.
View ProjectBank-Marketing
September 23, 2020 – September 23, 2020
Bank-Marketing — GitHub repository
View ProjectNYC-Taxi-Trip-Duration-Prediction
September 23, 2020 – September 23, 2020
NYC-Taxi-Trip-Duration-Prediction — GitHub repository
View ProjectPython-Programming
September 23, 2020 – September 23, 2020
This repository contains small projects and assignments done in Python.
View ProjectCLT-Demonstration
September 1, 2020 – September 1, 2020
CLT-Demonstration — GitHub repository
View ProjectR-Programming
August 11, 2020 – August 11, 2020
This repository contains some of the R functions that I have created as part of my own learning process.
View ProjectFine-particulate-matter
September 5, 2017 – September 5, 2017
Analyzing the National emissions inventory dataset for understanding the fine particulate matter concentration in United States.
View ProjectHospital-quality-analysis
August 16, 2017 – August 16, 2017
A quality analysis of the US based hospitals about how the hospitals fair against each other in terms of the 30 day death mortality rates.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic in nature, focusing on data science concepts. While this shows initiative, the lack of team-based or diverse industry projects makes it difficult to fully assess cultural fit for a collaborative professional environment. The experience level is 0, indicating a junior profile, which might require more mentorship and integration into a team culture.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.