Yağız T.

Yağız Tümer has a diverse work experience in the field of data science. From July 2016 to January 2020, they worked as a Freelance Data Analyst & Scientist, providing research consultancy, analysis, and reporting services to various institutions. During this time, they gained expertise in Time Series Analysis, Statistical Hypothesis Testing, Regression Analysis, Logistic Regression, Multivariate Statistical Analysis, and other statistical techniques. They utilized tools such as Python, R, SPSS, SPSS Modeler, and SAS E.G.

In January 2020, Yağız Tümer joined LC Waikiki as a Data Scientist and worked until June 2021. Then, they joined Doğuş Teknoloji in June 2021 as a Data Scientist and later advanced to the position of Senior Data Scientist in May 2022. The exact end dates for their roles at Doğuş Teknoloji are not provided.

Overall, Yağız Tümer has extensive experience in the field of data science, with a focus on statistical analysis and expertise in using various analytical tools.

Yağız Tümer has a strong educational background with a focus on data science and statistical analysis. Yağız obtained a Bachelor's degree in Statistics from Hacettepe University in the years 2014-2018. Prior to that, they completed a Bachelor's degree in Chemistry at Ankara University from 2010 to 2013. Their high school education was completed at Neşet Yalçın Anadolu Lisesi, where they studied Science and Math from 2006 to 2010.

In addition to their formal education, Yağız has obtained several certifications to enhance their skills in data science and related fields. Yağız has successfully completed various online courses and programs offered by reputable institutions such as IBM, deeplearning.ai, DATAI, Veri Bilimi Okulu, Udemy, and İstanbul İşletme Enstitüsü. These certifications cover a wide range of topics including data visualization, databases and SQL, machine learning, Python programming, data analysis, data science methodology, deep neural networks, and more. Yağız also participated in a personal development and leadership program organized by CEO.

Overall, their extensive educational background and certifications demonstrate their commitment to continuous learning and professional development in the field of data science and statistical analysis.