
MSc data science grad with background in computer science.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
GDELT-GKG-2.0-Themes
February 8, 2024 – April 27, 2024
Understanding GDELT GKG-2.0 Themes
View ProjectMSc-Thesis-metaCCA-for-CVD
September 12, 2022 – August 12, 2023
MSc-Thesis-metaCCA-for-CVD — GitHub repository
View ProjectSelf-Driving-Autonomous-RC-Car
October 11, 2020 – April 10, 2021
This project aims to build a self driving remote controlled car.
View ProjectMedical-Image-Compression
October 9, 2020 – October 9, 2020
Transferring medical images from one center to another is common use in telemedicine. These high-quality images stored in DICOM format require higher bandwidth for transmission and large storage space in PACS (Picture Archiving and Communication System) memory. Therefore, reducing the image size by preserving diagnostic information has become a need. In this sense, medical image compression is a technique that overcomes both transmission and storage cost by suggesting lossy and lossless compression algorithms. High resolution medical images obtained by different imaging modalities stored in PACS needs higher storage space and bandwidth because of requiring much space in memory. Compression of medical images is important for efficient use of database. The main purpose of image compression is to reduce the number of bits representing the image while preserving the image quality and the intensity level of the pixels as much as possible depending on grayscale or RGB image. Since medical im
View ProjectIDLE
March 11, 2020 – March 11, 2020
The project aims to utilize the computation power of the personal computers and creates a platform where users can use the extra compute power to run their programs. This software enables user to either lend their computing power or run their program scripts.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, indicating a self-driven learning approach. However, the lack of team-based projects or professional experience makes it difficult to assess collaboration and broader cultural fit within an organizational setting. The project diversity aligns with a data science interest, but the depth of engagement and real-world impact are not fully clear from descriptions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.