Istanbul, Türkiye
Data scientist with 1.5 years of hands-on experience in predictive modeling, web crawling, and customer analytics. Skilled in Python, SQL (Redshift, Athena, PostgreSQL), NLP, AWS, and Airflow.
• Developed web crawling algorithms using BeautifulSoup and Selenium to analyze over 20 competitor websites, enhanced real-time market research and improved pricing responsiveness. • Fine-tuned and compared BERT-based models for analyzing search queries, provided insights and identified areas for future improvements to ensure robust performance. • Created comprehensive search data marts to calculate search conversion rates using Python and SQL. Optimized complex database queries and achieved a 40% reduction in data processing times.
• Performed customer analytics, including cohort and funnel analysis, used Python and SQL to uncover trends and patterns in customer data. • Worked alongside senior data scientists to develop predictive models, focused on dataset preparation and feature engineering. • Addressed ad hoc data analysis requests from multiple departments, delivered insights to enhance business operations.
• Analyzed user behavior and developed segmentation strategies to enhance engagement and retention through targeted push notifications. • Conducted market research on industry trends and competitor strategies, supporting business decisions with actionable insights. • Integrated user feedback into product development, enhanced product functionality and user satisfaction.
• Updated customer and product data to ensure data quality using SAP. • Assisted with troubleshooting and resolving technical issues for end users across various departments.