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Welcome to my profile! I am Ekrem, a Geomatics Engineering graduate. With a strong focus on remote sensing, point clouds and computer vision.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
autonomous-drone-stack
November 26, 2025 – Present
A complete end-to-end autonomous drone software stack built from scratch — including IMU-based state estimation (EKF), sensor fusion, visual odometry, drone dynamics, PID control, ROS 2 simulation, and real hardware integration.
View Project3D-Mesh-Segmentation
March 23, 2024 – March 24, 2024
A Graph Neural Network structured for 3D mesh segmentation purposes. It is used for body part segmentation on 3D human meshes.
View ProjectVisual-Odometry
January 14, 2024 – January 15, 2024
This repository contains an implementation of Visual Odometry, estimating the motion of a camera in a sequence of images.
View ProjectVirtual-Painter
October 26, 2023 – October 26, 2023
A Python application for virtual painting using a webcam and hand gestures
View Project3D-Structure-from-Motion
September 21, 2023 – November 26, 2025
This repo helps you to create 3D reconstructions from motion using multi view.
View Projectreal-time-movie-recommendation
July 29, 2023 – July 29, 2023
With the help of a Qt5 UI, the pipeline returns movie recommendations in real time using Apache Kafka and Spark Streaming
View ProjectReal-Time-Spatial-Data-Visualization
July 8, 2023 – July 10, 2023
Real Time Pipeline utilizes Fastapi, Kafka, PostgreSQL and Folium. Where user sends their location info via Qt5 GUI and location is visualized on Folium Map.
View Projectsentiment-analysis-of-youtube-comments
May 2, 2023 – May 2, 2023
This repository contains code for analyzing the sentiment of comments on a YouTube video
View Projectparking_lot_monitoring_system_OpenCV
April 9, 2023 – April 10, 2023
This repo finds free parking spaces in the parking lot using only image processing
View Projectsign_language_classification_MediaPipe
March 31, 2023 – April 5, 2023
This repo detects sign language gestures from images using MediaPipe hand landmarks
View ProjectCultural Fit Analysis
The candidate demonstrates a strong passion for data science, computer vision, and real-time systems through a diverse portfolio of personal projects. The projects align well with a Data Scientist role, particularly those involving machine learning, image processing, and data pipelines. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration and broader cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a strong technical focus and ability to execute complex projects independently.