Hakan Yuzbasioglu Email & Phone Number

Brussels Metropolitan Area

Berlin, Germany

• Collaborated with cross-functional teams to define and execute data-driven projects, leveraging Python and SQL to extract, manipulate, and analyze large datasets.
• Conducted comprehensive data analysis using advanced statistical models and machine learning algorithms to identify trends, patterns, and correlations.
• Utilized advanced querying, visualization and analytics tools to analyze and process complex data sets.
• Worked with stakeholders to develop roadmaps based on impact, effort and test coordinations.
• Presented findings and recommendations to technical and non-technical stakeholders, effectively communicating complex concepts in clear and concise manner.
• Applied data cleaning, preprocessing, and validation techniques to ensure reliability and quality of datasets which resulted in 10% increase in productivity.𝗝𝘂𝗻𝗲 𝟮𝟬𝟮𝟮 - 𝗔𝗽𝗿𝗶𝗹 𝟮𝟬𝟮𝟯 𝗮𝘁 𝗜𝘀𝘁𝗮𝗻𝗯𝘂𝗹, 𝗧𝘂𝗿𝗸𝗲𝘆

Princeton, New Jersey, United States

• Employed predictive modeling techniques to support investment decision-making, optimizing portfolio performance and risk management strategies resulted in 15% increase in ROI.
• Implemented data cleaning, preprocessing, and validation techniques to ensure data integrity and quality for accurate analysis.
• Proactively researched and implemented state-of-the-art data science methodologies and tools to improve investment models and enhance overall performance.
• Performed statistical analysis of competitors using Python
• Strong problem-solving skills and ability to analyze complex financial datasets to extract actionable insights for investment strategies.
• Excellent collaboration and teamwork skills, thriving in fast-paced, results-driven environment.

Istanbul, Türkiye

• Developed spread calculation using machine learning techniques for back-tests which resulted in 7% increase in r-score
• Worked closely with customers to understand their requirements, translating them into data science projects that address their specific challenges and objectives.
• Conducted comprehensive data analysis using advanced statistical models and machine learning algorithms to derive actionable insights for customers in financial industry.
• Leveraged Python, SQL to extract, manipulate, and analyze large financial datasets, delivering custom solutions to optimize processes, enhance decision-making, and drive business growth.
• Assessed accuracy and effectiveness of new and existing data sources and data analysis techniques.

Istanbul, Turkey

• Twitter sentiment analysis research using Python.

Istanbul, Turkey

• Done Machine Learning from Andrew Ng. and Computer Vision courses in order to improve myself.
• Image recognition and Deep Learning applications on the new app.

Istanbul, Turkey

• Monthly analysis for the sales team.
• Improvement for Business Intelligence tools and bug fixing.
• Monthly summary and data visualization for the C-Level.

Istanbul, Turkey

• Learned business basics.
• Researched new topics related to work.
• Helped about visualizations for presentations

Bachelor Of Science - Bs, Statistics, 3.02

Activities and Societies: Founder of Data Science CommunityI finished my undergraduate program with 3.02 GPA in 3.5 years. I have gained.

Master Of Science - Ms, Mathematics

Pursuing a master’s in mathematics to complement my role as a data scientist. Strengthening analytical acumen, solving complex challenges.