Konichiwa I'm Bhuvi!
I'm proud of ya! you doing great!
I'm a aspiring
Data Scientist
and a tech enthusiast.
with ever growing zeal
for Computer Science.
Contact me :)
Skills
Projects
Analysis of HR Survey Data Employee Turnover Prediction Using Machine Learning (Capstone Project)
The goal of this project was to create an ML classification model and conclude on a best performing machine learning model (Decision Tree, Random Forest, Xgboost) to predict employee turnover left or stay. The final XGBoost model performed with a 94.5% f1 score, 97.1% precision score, and 92.1% recall score, determining what features were most important in segregating employees who left and stayed in the company based on the model, The main contributing factors were tenure duration, high work hours, satisfaction level, and total project contribution.
Visit the Project..Random Forest Regressor(ensemble) - Machine Learning Model From Scratch
Understanding the vast data of drug interaction is a challenging fleet. It is a daunting but, a rewarding task of identifying potentioal drug candidate for prevalant diseases.
Visit the Code..HR Analytics - Report on Employee Attrition
•Cleaned 6100+ data points.
•Performed data Modeling, constructed snowflake Schema.
•Created 15+ Measures, EDA was carried out.
•Revealed Key insights using data visualization .
•Analysed for Attrition through various channels.
•Built report and deployed on power BI service.