Featured Projects
Showing 15 projects
Skip to main content
ALWAYS BUILDING
ErsoyLabs
Data-Driven Digital Products & Venture Studio.
Oğuz Hakan Ersoy | Data Analyst @ Garanti BBVA
Bridging the gap between Data and Design.
Hi, I'm Oğuz Hakan Ersoy. I am currently working as a Data Analyst at Garanti BBVA. Beyond my daily corporate work, I am a passionate full-stack developer running ErsoyLabs as a digital venture studio.
I specialize in transforming complex business requirements into sleek, data-driven applications. Whether it's training YOLOv8 models for solar panel analysis or building responsive financial dashboards, I focus on pixel-perfect UI and rock-solid architecture.
Data & AI
Python, Pandas, PostgreSQL, Supabase, Redis, YOLOv8 Computer Vision.
Web Engineering
Next.js 15+, React, TypeScript, Tailwind CSS v4, Framer Motion.
Mobile Apps
React Native, Expo, offline-first architectures, mobile UI/UX.
Analytics
Data Scraping, Selenium, ETL pipelines, Interactive Dashboards (D3.js).
Research
SolarAI Vision
An advanced AI project that utilizes state-of-the-art YOLOv8 object detection to analyze drone and thermal imagery of solar farms. It automatically detects dust accumulation, physical damage, and hotspots, allowing energy companies to optimize maintenance schedules and maximize power output.
Tech Stack
Python
YOLOv8
OpenCV
PyTorch
Key Features
Anomaly Detection
Identifies micro-cracks and hotspots.
Automated Reporting
Generates maintenance action plans.
Challenges
- Training the model on diverse, noisy drone footage.
- Achieving high precision to minimize false maintenance calls.
Results
- Achieved 94% mAP in detecting panel degradation.