Master of Cognitive Science & Data Analysis

2022 - 2024

Nicolaus Copernicus University, Toruń, PL

Engaging in the Master of Science in Cognitive Science, I've specialized in health data analysis, advanced statistical modeling, and machine learning applications. I've not only navigated the complexities of understanding cognitive processes but have also extended my expertise by building NLP models for text analytics. This dual focus on health data and natural language processing has enhanced my ability to derive meaningful insights from diverse datasets. My academic journey equips me to contribute valuable perspectives at the intersection of data science and cognitive processes.

Bachelor of Gegraphy & Spatial Data Visualization

2018 - 2022

Marmara University, Istanbul, TR

In my pursuit of a Bachelor's degree in Geography and Spatial Data Visualizations, I immersed myself in the dynamic world of advanced interactive map building. Passionate about transforming geographical data into compelling visual narratives, I honed my skills in crafting intricate spatial visualizations. This academic journey not only deepened my understanding of geographical concepts but also sparked my keen interest in the art of data visualization. Through hands-on practice, I gained proficiency in translating complex spatial data into interactive and visually impactful representations.

Data Scientist/Data Analyst

ONEAMZ–USA | September 2022 - October 2023

New Jersey, USA

• Developed and maintained automated reports and dashboards using Python and Tableau, ensuring stakeholders had access to real-time, actionable insights, leading to more timely decision-making.
• Deployed a customer churn prediction machine learning model with a 90% accuracy rate, enabling the company to proactively retain customers and reduce churn by 10%.
• Developed and implemented a comprehensive set of dashboards to track key performance indicators (KPIs) for the company, resulting in a 20% increase in data-driven decision-making and operational efficiency.
• Collaborated with cross-functional teams to identify opportunities for process improvement based on insights derived from data analysis, leading to a 10% reduction in customer support response time and an improvement in overall customer satisfaction by 15%.

Data Analyst - Personal Project

Torun, PL | Sep 2023

Analysis of Sales Approach for New Product Line

• Analyzed customer data for the new Pen and Printers product line, identifying 3 distinct customer segments based on purchasing behavior and demographics, enabling targeted marketing campaigns for each segment.
• Recommended the adoption of the Email + Call method for customer outreach in the product line, resulting in an average revenue of $183.65 per customer. This approach contributed to a 35% increase in sales growth within the first quarter.
• Assessed revenue distribution across customer segments for the Pen and Printers product line, finding that Segment A accounted for 60% of total revenue, prompting a shift in marketing resources to focus on this high-value segment.