Hakan Yüzbaşıoğlu

- Developed machine learning models, significantly improving predictive accuracy. - Conducted data exploration and visualization using Python and R, informing strategic decisions. - Collaborated on scalable data pipeline design and implementation, reducing data processing time by 130% for a fintech company. - Led A/B testing projects, increasing conversion rates by 15% for Amazon brand. - Applied NLP for sentiment analysis on web-scraped data, enhancing insights into user behavior in my current role

- Ensured data integrity and accuracy, enhancing the reliability of data- driven decisions. - Employed advanced querying, visualization, and analytics tools to examine and process complex data sets. - Collaborated with stakeholders to develop quarterly roadmaps based on impact, effort, and test coordination. - Employed predictive modeling techniques to optimize automated trading. Resulted in a 7% improvement in R^2 - Conducted comprehensive data analysis to identify market trends, patterns, and correlations

- Conducted thorough data analysis to identify patterns and trends. - Collaborated with the team to implement data-driven solutions. - Implemented data cleaning procedures that improved model accuracy by 24%. - Assisted in the development and deployment of machine learning models. - Conducted data preprocessing and cleaning to ensure data quality.