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Computer Engineer | Mobile Developer | Flutter - Android Jetpack Compose
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
image-segmenter-plugin
April 12, 2024 – September 24, 2024
Flutter plugin for the android side using the subject segmentation model in Google MLKit.
View Projectadvanced-exercise-finder-flutter-usecase
March 10, 2024 – March 10, 2024
Advanced Exercise Finder is a Flutter app where you can search for exercises with multiple filtering features and create, delete and edit your own workout program.
View Projectweather-flutter
December 18, 2023 – December 20, 2023
WeatherFlutter is a simple Flutter project well structured which trying to implement some functionality from open-meteo api.
View Projectandroid-compose-playground
September 27, 2023 – October 6, 2024
This repo contains my personal Android Jetpack Compose practices projects and codelabs.
View Projectmusic-player-flutter
July 4, 2021 – November 25, 2024
Music player application for android. It's uses MVVM architecture and Provider & ValueNotifier state management.
View Projectpenguin_species_classification
June 6, 2021 – June 6, 2021
penguin_species_classification — GitHub repository
View Projectbaglama-detection-realtime-yolov3
February 20, 2021 – February 20, 2021
Realtime "Baglama" enstruman detection project using with OpenCV YoloV3 architecture.
View Projectinstagram-design-flutter
October 4, 2020 – July 8, 2021
Instagram homepage design implementation with Flutter.
View Projectflutter-works
August 29, 2020 – September 18, 2021
This repo contains my personal Flutter practices.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards mobile development (Flutter, Android) with some exploration into data science/machine learning. While the target role is 'Data Scientist', the majority of projects are not directly aligned with core data science responsibilities (e.g., data engineering, advanced statistical modeling, MLOps). The diversity of technologies used across mobile and ML projects indicates a willingness to learn and explore different domains, which can be a positive cultural fit for a dynamic environment. However, the lack of professional experience or team projects makes it difficult to fully assess collaboration and adaptability.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects are primarily personal and lack team collaboration context. No psychometric test results are available.