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Data Analyst with 2+ years in Data Systems & AI
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Data Analyst and Analytics Engineer with an M.Sc. in Measurement and Data Analytics and founder of edora.dev, a production-grade operational intelligence platform serving educational institutions. Proven expertise in designing end-to-end data pipelines from raw ingestion and ETL to cloud data warehousing, automated analytics, role-scoped dashboards, and AI-powered natural language querying. Hands-on experience with Python, SQL, Power BI, Apache Superset, Supabase (PostgreSQL), n8n, LlamaIndex, Azure Data Factory, and GDPR/PDPL-compliant data handling. Track record of translating complex datasets into measurable business outcomes churn reduction, retention improvement, and operational efficiency gains. Open to relocation; available immediately.
Anadolu University
Master of Science · Measurement and Data Analytics (Non-Thesis)
N/A – June 30, 2025
Istanbul University
Associate Degree · Computer Programming
N/A – June 30, 2024
Trakya University
Bachelor of Arts · English Language Teaching
N/A – June 30, 2012
edora.dev
Founder & Data Analytics Engineer
March 1, 2026 – Present
India
Self-Employed
Freelance Data Analyst
June 1, 2024 – Present
India
Telco Churn Analysis
February 1, 2026 – February 1, 2026
End-to-end churn prediction pipeline on 7,000+ customer records (20+ features); 85% model accuracy. EDA insights: month-to-month contracts → 42% higher churn; tenure <12 months → 3x churn probability. Projected to reduce annual churn from 27% to 21%, saving ~$1.2M in acquisition costs.
View ProjectRFM Segmentation Analysis
December 1, 2025 – December 1, 2025
RFM framework on 4,500+ transactions; 8 segments identified; Champions (11% of base) drove 45% of revenue. At-Risk segment: 68% churn probability within 90 days without intervention. Segmented email campaigns post-implementation: 52% higher open rates, 38% better conversion.
View ProjectEuropean Soccer Performance Analysis
October 1, 2025 – October 1, 2025
Advanced SQL on 25,000+ match records; CTEs, RANK/DENSE_RANK/LAG/LEAD/PARTITION BY. Query optimization via indexing: execution time reduced from 8.5s to 2.1s (75% improvement).
View ProjectPurchase Intention Prediction
September 1, 2025 – September 1, 2025
Multiple linear regression + ANOVA on 200+ athlete survey responses; R-squared improved from 0.65 to 0.73. Identified r=0.68 correlation between daily internet usage and purchase intent.
Digital Reading Platform Analysis
July 1, 2025 – July 1, 2025
Paired t-tests on 78 students; p<0.05; 18% comprehension improvement over 12 weeks. Root cause analysis identified 3 crash sources; recommendations yielded 65% crash reduction.
SQL for Data Analysis
DataCamp
June 1, 2026 – Present
Python for Data Science
AI Business School
June 1, 2026 – Present
Microsoft Power BI Data Analyst
Udemy
June 1, 2026 – Present
Microsoft Excel for Data Analysis
Udemy
June 1, 2026 – Present
Microsoft Power BI Data Analyst Associate (In Progress)
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a dynamic, data-driven environment. Their entrepreneurial background with edora.dev, coupled with freelance data analysis, showcases initiative, problem-solving, and a results-oriented mindset. The diversity of projects (Telco Churn, RFM Segmentation, Soccer Performance, Purchase Intention) indicates adaptability and a broad interest in applying data analytics across different domains. The pursuit of multiple certifications and a Master's degree while actively working reflects a commitment to continuous learning and professional development, which aligns well with innovative company cultures.
Soft Skills & Operational Fit
The candidate's experience as a Founder & Data Analytics Engineer at edora.dev highlights strong product ownership, cross-functional collaboration, and stakeholder communication skills. The ability to design and launch a B2B SaaS platform, manage the full data lifecycle, and deploy role-scoped dashboards indicates a high degree of operational fit and an understanding of business needs. The focus on GDPR/PDPL compliance also shows attention to critical operational requirements.