About Me

📊 Computer Engineering graduate transitioning into data science with a strong foundation in statistical methods and machine learning. Currently advancing my expertise through a Master’s in Statistical Methods and Applications at Sapienza University of Rome, focusing on healthcare analytics and predictive modeling.

🔬 Published researcher with hands-on experience applying statistical analysis to medical data. My work includes developing novel machine learning formulas for LDL-C estimation, published in Turkish Journal of Biochemistry. Passionate about bridging statistical theory with practical healthcare applications.

💻 Software developer with proven ability to build data-driven applications across multiple platforms. Created applications for Android, iOS, and Steam including a medical calculator with 1000+ downloads, demonstrating my ability to translate statistical models into user-friendly tools. Continuously learning and applying new data science techniques to create meaningful solutions.

Technical Skills

📊 Data Analysis & Statistics
NumPy, pandas, Bayesian & frequentist inference, hypothesis testing, Monte Carlo methods

💻 Programming Languages
Python, R, SQL (MS SQL), Kotlin

🤖 Machine Learning
Regression & classification (scikit-learn), time series forecasting (ARIMA, Prophet)

📈 Data Visualization
Matplotlib, Seaborn, Plotly

🗄️ Databases
SQLite, MS SQL

📱 Mobile Development
Android (Kotlin), Android Studio, Xcode

Developing and Evaluation of a Novel Machine Learning–Driven Formula for LDL-C Estimation Published in Turkish Journal of Biochemistry

Published research introducing the Yayla Formula, a machine learning–derived LDL-C equation developed via symbolic regression on 2,270 patients and validated on 89,274 cases across major lab platforms. The formula achieved 96.3% precision, lower error rates, and outperformed Friedewald and Sampson, especially in high-triglyceride scenarios.

Training Patients: 2,270 Validation Cases: 89,274 Precision: 96.3% Method: ML Driven

LDL Cholesterol & Dyslipidemia Type Analyzer (with Yayla Formula Integration) Published on Google Play Store & Apple App Store – 2025

Clinician-focused app for calculating LDL-C using multiple formulas including the Yayla Formula, and identifying dyslipidemia types from lipid profiles. Provides instant clinical insights and abnormal value flags to support real-time decision-making.

Tech Stack: Kotlin Multiplatform (Android) & Swift (iOS) Features: Multi-formula LDL calculator, dyslipidemia classifier, built-in clinical interpretation Impact: Improves accessibility of advanced lipid analysis tools at the point of care

Handere Commerce: Mobile E-Commerce with Barcode Integration Published on Google Play Store & Apple App Store

Mobile application with native development and advanced barcode scanning functionality. Developed using Kotlin (Android Studio) and Swift (Xcode) with real-time product search integration validated across mobile commerce workflows.

Platforms: Android Studio & Xcode Languages: Kotlin & Swift Integration: Barcode Scanner API Method: Native Mobile Commerce Implementation

Tech Stack: Android SDK, iOS SDK, Kotlin & Swift Features: Real-time barcode scanning, product database integration, mobile commerce interface with search optimization. Impact: Seamless barcode-to-product matching with optimized user experience across both platforms.

Achievement Monster: Steam Achievement Collection System Published on Steam Platform

Steam game demonstrating Unity-Steamworks SDK integration for achievement collection system. Developed using C# scripting and Steam API with 500+ unique achievements validated on Steam platform.

Platform: Unity 2022.3 Integration: Steamworks API Method: C# Steam Communication

Tech Stack: Unity Game Engine & Steamworks SDK Features: Real-time achievement unlocking, Steam overlay integration, persistent tracking system. Impact: Streamlined Steam API implementation with optimized user feedback mechanisms.

Study with Me: Pomodoro Sessions Published on Steam Platform

Steam productivity application demonstrating Unity UI/UX design with comprehensive study session management. Developed using C# scripting and Unity framework with multiple timing modes, animated UI elements, and integrated database system for user progress tracking.

Platform: Unity 2022.3 Integration: Steam API & Database Method: C# Productivity Application Development

Tech Stack: Unity Game Engine, C# & Steam SDK Features: Multiple Pomodoro timers, dynamic animations, integrated music playlists, todo list management, statistics tracking with persistent database storage, Steam achievements integration. Impact: Comprehensive study productivity tool with gamified progress tracking and seamless Steam platform integration.

Blindfold Chess Published on Steam Platform

A chess training and competitive application built for players who want to sharpen their visualization and calculation skills without seeing the board. Features an online multiplayer system and AI opponent integration.

Platform: Unity 2022.3 Multiplayer: Unity Relay & Netcode for GameObjects Storage: Local persistent database AI: Stockfish engine integration

Tech Stack: Unity Game Engine, C#, Unity Gaming Services (Relay), Stockfish Features: Blindfold chess training mode, online PvP matchmaking via Unity Relay, AI opponent powered by Stockfish engine, local game history and progress storage, Steam platform integration. Impact: Specialized chess training tool targeting competitive players seeking to improve board visualization through constraint-based practice.