Position: Data scientist
Category: Data Science
English level: fluent
Years of experience: 0.5

Big Data Lab hackathon
Loan default prediction model with very high accuracy (ROC_AUC) - 95% on training set, 86% on test set
Python,scikit-learn,numpy,pandas,jupyter,SQL,machine learning,data science,regression,predictive models,decision tree,random forest,gradient boosting (XGboost),clustering,feature engineering,unsupervised learning,supervised learning,experimental design,AWS
Pet projects: churn rate prediction model for Vodafone (hackathon); loan default prediction scorecard for an NDA company with prediction accuracy 86% on test data
Courses: Kaggle Python tutorial on Machine learning – DataCamp; Induction to Python & Machine Learning - DataCamp; Programming for everybody (Getting started with Python) - Coursera; 	Python Data Structures – Coursera; 	Using Python to access Web data - Coursera
Get the first office experience in machine learning,  convert the knowledge and capabilities built in market research into the corresponding knowledge and skills in data science