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

Data Science 2020

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.

LLM in International Commercial Law 2007

University of Westminster

Law Degree 2005

Ankara University

PYTHON FOR DATA SCIENCE AND AI June 2020

Women AI Academy

MACHINE LEARNING WITH PYTHON 2020

IBM/COURSERA

Work & Experience

Data Scientist

Omdena

01/15/2021

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

09/15/2020 - 02/01/2021

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.

Attorney at Law

Bilge Law Firm

03/01/2009 - 09/01/2020

Trademark Attorney

03/01/2013 - 05/01/2019

Skills

Machine Learning
Python