Ozge Bilge
About Me
I am a keen Data Scientist pursuing my career path within this field. Therefore I joined the Women AI Academy Data Science Learning Program which has been founded to achieve gender equality in AI world.
I added excellent all-rounded technical skills and statistical experience that are supported by a telco churn ML project via using Python programming.
I am a self-motivated and ambitious trainee data scientist. I am also a dedicated team player who is committed, reliable, trustworthy and a constant high performer.
Education
Women AI Academy
This program has covered; ✓ Applying data exploration, manipulation, hypothesis testing and analysing techniques with Python scripting by using scikit-learn, pandas, NumPy, matplotlib, math and seaborn libraries. ✓ Understanding the concepts and development process of artificial intelligence and machine learning technics which are Logistic Regression, XGBoost, Gradient Boosting, Random Forest, SVM(Support Vector Machine), Neural Network with Python.
University of Westminster
Ankara University
Women AI Academy
IBM/COURSERA
Work & Experience
Data Scientist
Omdena
A member of the “Maximizing job and economic Impact Through Start-up Investment" project team that will build predictive models and advance analytics solutions with regard to the business needs and strategies. Building predictive models by using Python programming skills. Identifying data quality issues and assess the subsequent impact on the models. Setting up performance measurement dashboards that include the historical lift and variable stability of the predictive models and share the highlighting key findings with the project team.
Data Scientist
Women AI Academy
Applying data exploration, manipulation, hypothesis testing and analysing techniques with Python scripting by using Scikit-learn, Pandas, NumPy, Matplotlib, Math and Seaborn libraries. Understanding the concepts and development process of artificial intelligence and machine learning technics which are Logistic Regression, XGBoost, Gradient Boosting, Random Forest, SVM(Support Vector Machine), Neural Network with Python. Program Achievement Project: the aim of the project is to predict whether the active customers of a telecom company will churn at the end of next month.