Position: kyiv
Category: Data Science
English level: fluent
Years of experience: 1

I completed ‘’Data Science and Machine Learning Bootcamp’’ organized by the VBO company under the mentorship of Data Scientists who are experts in Data Science and living in Germany, Netherlands and Sweden. I completed bootcamp in 6th place out of 80 participants. I achieved my goal, showed my talent and determination and also I showed that I had a great influence on my team's victory. 

   In my master's thesis, I developed a model that predicts whether the student will continue to the university in the next semester, using machine learning algorithms from the student data I received from KPI. It was a nice real life project and it was really appreciated. 

   I am proud of all my projects and data visualizations that I share on Kaggle. I wish I had time and could share all the projects I've done on kaggle, github, medium and Linkedin. But I could only share some of them.
I have completed my Master's Degree in Software Engineering, majoring in Data Science at Kyiv Polytechnic Institute. I have studied and lived in Kyiv (Ukraine) for 3 years, so I can speak Russian (B1) a bit, also English (C1) and Turkish (as my native tongue). 

    I completed ‘’Data Science and Machine Learning Bootcamp’’ organized by the VBO company under the mentorship of Data Scientists who are experts in Data Science and living in Germany, Netherlands and Sweden. I completed bootcamp in 6th place out of 80 participants. I achieved my goal, showed my talent and determination and also I showed that I had a great influence on my team's victory. 
   
   I have worked with more than 10 real projects. I shared the projects on my github and kaggle account. Some of them are:
- Exploratory Data Analysis In Deeply,
- Customer Segmentation,
- Price Prediction for Game's Items 
- Price Prediction for Online Retail Market,
- A/B Tests for The Game Company,
- Data Visualization,
- Churn Analysis for Bank Customers,
- Time Series Problems,
- NLP,
- House Price Prediction Models with Machine Learning,
- Credit Risk.
And have completed many more projects.
 
   While working on these projects, JupyterNotebook, Jupyterlab, Spyder, and Pycharm were used in Anaconda Environment.

   PySpark was used when working with large volumes of data.

   I was trained in SQL by Microsoft MVP Ömer Çolakoğlu and conducted projects with them. 


   I learned Microsoft Power BI and Tableau by myself via The Learning Path of Maven Analytics Power BI Specialist.

   Also I have general knowledge about Google Analytics, Facebook Ads and marketing models such as CPA, CPM, CPL, revshare cooperation models.

   Additionally please check the "code" section of my kaggle account.
In short; supportive and competitive team members, an environment conducive to self-development, all I want.

   But what I really want is, a multicultural environment where I can spent most of my time with in-depth EDA operations, dealing with a live dataset that I pull from streaming data using filters, use Machine Learning Algorithms, and demonstrate my interpretation skills with Statistics.