Lazy af!! || Machine Learner || AI enthusiast || Noob Pythonist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
CProc
November 16, 2025 – November 16, 2025
A Windows-native CPU monitoring application inspired by CoreFreq (Linux). Provides real-time monitoring of CPU frequency, temperature, utilization, and power consumption with a modern WPF GUI and terminal UI.
View ProjectJavaToExcel
November 14, 2025 – November 14, 2025
A Java Maven application for SXBank that reads CSV/flat files and generates formatted Excel
View Projectspring-xml-converter
July 8, 2025 – July 8, 2025
spring-xml-converter — GitHub repository
View ProjectUndergraduate-Thesis-2
April 4, 2019 – May 27, 2019
Undergraduate-Thesis-2 — GitHub repository
View ProjectGOP-Sentiment-Demo
March 24, 2019 – March 24, 2019
GOP-Sentiment-Demo — GitHub repository
View ProjectPattern-Recognition-Lab
September 8, 2017 – November 7, 2017
Code for the PR lab course DTU
View ProjectComputer-Graphics-Lab
September 4, 2017 – September 12, 2017
Code for the CG Lab course DTU
View ProjectImage-Compression-Using-Vector-Quantization
December 23, 2016 – September 11, 2017
We'll be trying to compress an image using VQ. Vector quantization (VQ) is a lossy data compression method based on the principle of block coding. It is a fixed-to-fixed length algorithm.
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of technologies (Python, C++, Java, web technologies) and interests, which could indicate adaptability. However, the projects are primarily personal and academic, making it difficult to assess alignment with a professional team environment or specific company culture. The target role is 'Data Scientist', and while some projects align, others like 'Kdb' (web technologies) or 'JavaToExcel' seem less directly relevant, suggesting a broad but potentially unfocused interest for this specific role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.