I've been doing stuff with machine learning
AI is analyzing your overall score…
Identifying your key strengths…
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.