Ekin's CV👨🏽‍💻

Summary

Entry-level data analyst experienced with data collection, SaaS/agency marketing, and various data types (behavioral, survey, social network, neural). Berlin-based, open for relocation or remote.

Technical Skills

Python: Working experience in Numpy, Pandas, Matplotlib, Seaborn, SciPy, and scikit-learn libraries.
SQL: Creates databases, sketches database schemas (ERDs), runs data validation, writes complex queries.
Tableau: Crafts to-the-point dashboards for business executives.
Statistics: Descriptive and inferential, A/B testing, experimental design, data collection, machine learning.
Google Analytics 4: Implements GA4 to a website, tracks KPIs, creates reports.
Microsoft Excel, Google Sheets: For simpler tasks or communicating with non-technical stakeholders.
GitHub (Copilot), Visual Studio Code, ChatGPT-4o, Jupyter Notebooks: Tools I use for my daily workflow.
Big Data and Cloud Services: Acquired foundational knowledge through coursework.

Work Experience

Marketing Specialist (Working Student) | ZAUBAR | 2022 - 2024

Developed a 10 page lead-gen SaaS marketing website with 200+ CMS entries.
Organized 6 Apple Vision Pro Community Events with a total of 300+ attendees.
Attended AWE USA in Los Angeles, QA'ed a conference app, set up a 2.5m x 4m booth, collected 30+ leads.

Research Intern | Max-Planck Institute for Human Development | 2023 - 2024

Applied computational models to 𝕏 data, used OpenAI API for NLP, constructed social network graphs.
Deployed machine learning algorithms (t-SNE, k-means, PCA) in Python on real-time user feedback.

Soft Skills

Presentation Skills: Expertly delivers engaging presentations and sparks discussion.
Impact Driven: Initiates a project only after considering its potential outcomes.
Critical Thinker: Rigorously examines the data to identify confounding factors and root causes.

Education

M.Sc. Cognitive Neuroscience | Freie Universität Berlin | 2021 - 2024 | GPA: 1.3 (best grade: 1.0)
Published Altered States Database as the second author in Nature scientific data.
Courses: Neurocognitive Methods and Data Analysis, Probabilistic and Statistical Modeling
B.A. Psychology | Bogazici University | 2016 - 2021 | GPA: 1.1 (best grade: 1.0)
Courses: Data Collection, Experimental Design, Research Methods, Statistics for Social Sciences

Hobbies