Kazim Bektas
Junior Data Scientist @Miuul
Signup · Get unlimited contacts
WORK HISTORY
Junior Data Scientist @Miuul
Developed data analysis, modeling, and visualization skills by working on projects with large datasets.• Utilized statistical methods to solve diverse data science problems with large, real datasets.• Worked collaboratively within a 30-member team, effectively contributing to the achievement of team goals and objectives.• Had the opportunity to work on real-world data science applications under the guidance of industry professionals and academics.• Acquired practical experience using popular programming languages such as Python, and SQL.• Demonstrated expertise in CRM Analytics, including:* RFM Analysis * Customer Lifetime Value (CLTV) Analysis * Customer Lifetime Value Prediction• Skilled in tackling Measurement Problems, including:* Rating Products * Sorting Products * Sorting Reviews * AB Testing• Completed training in Feature Engineering, focusing on both manual and automated techniques for data optimization.• Applied recommendation system techniques like Association Rule Learning, Content-Based Recommendation, Item-Based Collaborative Filtering, User-Based Collaborative Filtering, and Model-Based Matrix Factorization.• Implemented machine learning techniques such as Linear Regression, Logistic Regression, KNN, CART, Advanced Decision Tree Methods, Unsupervised Learning, and Machine Learning Pipelines.
EDUCATION
Mohawk College
Post Graduate - Analytics for Business Decision Making
Anadolu University
Bachelor's degree, Department of Labour Economics and Industrial Relations
ILSC Education Group
University Pathway Program
ABOUT KAZIM BEKTAS
Has new enthusiasm in data science and improving his data science/ analyst and programming skills during his post-graduate study at Mohawk College in Canada. As a professional with a deep passion for data analysis and data science, I am equipped with extensive experience working with large datasets and strong analytical skills. During my time at Miuul\'s data science bootcamp, I gained comprehensive knowledge in analyzing, modeling, and visualizing data using modern programming languages like Python and SQL. By applying the CRISP-DM framework in real-world data projects, I made significant contributions to understanding complex datasets and transforming them into business value. As a Senior Business Financial Advisor at HalkBank, I developed a wide range of experience in risk analysis, credit management, and business development, enhancing my ability to provide financial solutions. With a commitment to data-driven decision-making and a collaborative spirit, I aim to increase project efficiency and help teams achieve their goals. My goal is to leverage the power of data science and analytics to contribute to organizations’ strategic objectives.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.