Efe Çavuşoğlu

B.Sc. in Management · Ankara

CGPA 3.69/4.00, Magna Cum Laude — ranked 6th of 159 graduates (top 4%).

• Business Capstone — Optimizing hop's scooter distribution. Analyzed historical data from hop Technology to optimize scooter distribution and built an operational schedule in Python and Excel.
• Forecasting Turkey's visitor numbers for 2022. Applied ARIMA models in R to historical TÜİK data.
• Investment analysis. Built a portfolio by calculating stock weights in Excel, optimizing return against risk using mean return and standard deviation.
• Predicting ICO success. Visualized datasets in Python and developed linear and logistic regression models for a Business Analytics course.

Department of Mathematics · Ankara

Completed coursework in Mathematics before transferring to the Faculty of Business Administration to pursue a degree in Management.

High School, Mathematics / Science track · Ankara

Remote

• Building end-to-end data and machine learning pipelines, from data selection and preprocessing through model development and deployment.
• Conducting product research to identify improvement opportunities — evaluating new model approaches and new ways to leverage customer data.
• Designing analytics panels, reports and custom reporting logic with the product team — from metric definition through report design.
• Leading Google Tag Manager integrations for customer data collection.
• Developing and deploying customer segmentation models in PySpark to drive targeted strategies.
• Analyzing customer behaviour and engagement trends using Python, PySpark and Jupyter.
• Collaborating with cross-functional and product teams to align data capabilities with product development.

Remote

• Managed customer relationships end to end — key updates, agreements and contract negotiations.
• Set up and managed customer campaigns via Quin Portal, and integrated customer websites with Google Tag Manager.
• Built customer presentations, results reports and sales decks; delivered monthly performance reports for accounts.
• Analyzed account data with Python and PySpark to surface insights for customers and the product team.
• Maintained the sales pipeline in HubSpot and documented customer processes in Jira.

Ankara

• Optimized scooter distribution across Turkey through data analysis in Python and Excel.
• Applied linear regression to identify the key drivers of profit margins, informing operational decisions.
• Translated analysis into distribution recommendations that improved operational efficiency.

Ankara

• Assisted the professor with course material preparation; graded assignments and provided student feedback.

Ankara

• Conducted a comprehensive competitive analysis of international scooter-sharing operators.
• Presented strengths, gaps and growth opportunities to inform hop's expansion strategy.