Business Administration graduate passionate about transforming data into actionable business insights through analytics, machine learning, and business intelligence.
- 📊 Passionate about Customer Analytics and Business Intelligence
- 🐍 Working with Python, SQL, Power BI
- 📈 Interested in RFM Analysis, Customer Segmentation, and Customer Lifetime Value (CLTV)
- 🧠 Building end-to-end data analytics and machine learning projects
- 🌍 Based in Romania | Open to EU Relocation & Remote Opportunities
📈 RFM Analysis
Customer segmentation using Recency, Frequency and Monetary metrics to identify high-value customer groups.
📊 RFM Segmentation
End-to-end customer segmentation pipeline with actionable marketing recommendations.
💰 FLO Customer Lifetime Value
CLTV prediction using BG/NBD and Gamma-Gamma probabilistic models.
📉 Rule-Based Customer Revenue
Rule-based customer persona creation and revenue prediction.
🧠 Diabetes Feature Engineering
Machine learning pipeline including EDA, preprocessing, feature engineering and Random Forest classification.
📱 Project Facebook
Data analysis project focused on marketing and user behavior.
- 💼 LinkedIn: https://linkedin.com/in/alper-akdogan
- 📧 Email: alper.akdogn@gmail.com
"Turning data into meaningful business decisions."