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I've been doing stuff with machine learning
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Bachelor-Thesis-Project-ML-Based-Conveyor-Belt-for-Detecting-Separating-Rotten-Fruits
November 23, 2022 – June 5, 2023
This repo contains my bachelor thesis project which is a conveyor belt system that detects and separates rotten fruits using machine learning.
View ProjectYOLO-License-Plate-Detection-Web-App
November 2, 2022 – November 16, 2022
License plate detection with YOLO and extract text using OCR
View ProjectBusiness-Card-Reader-App
October 14, 2022 – November 2, 2022
The main idea of this project is that extracting entities from the scanned Business Card
View ProjectBrain-Tumor-Segmentation-BraTS-2019
January 29, 2021 – February 11, 2021
This repo contains Brain Tumor Segmentation BraTS 2019
View ProjectDiagnosis-with-Optical-Coherence-Tomography
January 17, 2021 – January 18, 2021
Diagnosis with Optical Coherence Tomography (OCT)
View ProjectDiabetic-Retinopathy-Detection
January 11, 2021 – January 18, 2021
This repo contains a bunch of models that detect blindness using advanced computer vision and neural network
View ProjectObject-Detection-with-OpenCV
November 22, 2020 – November 26, 2020
This repo contains some object detection algorithms and techniques (Not ML algorithms). This is aimed to get coordinates, width, height, and rotation of objects.
View Projectopencv_object_tracking
February 14, 2020 – March 6, 2020
opencv_object_tracking — repository
View ProjectCoursera-Convolutional-Neural-Networks
August 27, 2019 – August 27, 2019
Coursera CNN in Tensorflow
View ProjectCultural Fit Analysis
The candidate's projects show a strong interest in applied machine learning and computer vision, which aligns well with a Data Scientist role focused on practical problem-solving. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration or broader cultural fit. The projects are diverse within the ML/CV domain, but lack breadth in other data science areas like statistical modeling, A/B testing, or data engineering.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.