Who am I?
Aspiring data analyst with a foundation in computer science and a focus on turning complex datasets into actionable insights. From conducting geospatial analysis with deep learning models for academic researchers to analyzing user engagement metrics that drove a 40% increase in workout adherence, I focus on extracting meaning from data through statistical analysis, visualization, and iterative problem-solving.
Interested in data-driven applications or cutting-edge research?
Let's connect.
github: @EgemenErin
email:
We bring a touch of that simple magic into your world.
A gamified fitness tracking app built with React Native and Expo - My biggest project yet. Users build a character as they build a habit workouts become quests, consistency becomes progression. AI-driven recommendations adapt to how you move. The numbers say it worked: 40% increase in daily adherence, 20% improvement in goal completion. But the real measure is that people kept opening it.
react native, expo, java, typescript, mysql, oolama, mongoDB
Closed Source
A QGIS plugin for geospatial analysis. I participated in helping and performing geospatial analysis on aerial and satellite imagery using the QGIS Deepness plugin, applying deep learning techniques for land-use classification, object detection, and image augmentation. I processed and annotated orthophoto datasets to train and validate segmentation and detection models, improving inference accuracy across diverse terrain types
python, pytorch, pyqgis, qgis, deep learning
Open Source