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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
rtlsdr-reciever-experiment
June 9, 2026 – Present
rtlsdr-reciever-experiment — GitHub repository
View ProjectEsp32_Firmware_ArduinoIDE
March 24, 2026 – Present
Esp32_Firmware_ArduinoIDE — GitHub repository
View ProjectAudio-Sensor-Firmware
January 21, 2026 – Present
Audio-Sensor-Firmware — GitHub repository
View ProjectMLKEM_server_ESP32
September 6, 2025 – September 9, 2025
MLKEM_server_ESP32 — GitHub repository
View ProjectMLKEM_ESP32
September 1, 2025 – September 1, 2025
ML-Kem demonstration on esp32, tutorial by claude ai
View ProjectpythonX
September 2, 2024 – September 2, 2024
A repository of the work completed through the PythonX app
View Projectcreate_Venv
September 1, 2024 – September 3, 2024
Script that creates virtual environment for python.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong self-driven learning approach, particularly in niche areas like MLKEM and SDR. This indicates a proactive and curious mindset. However, the projects are heavily focused on embedded systems and low-level programming (C++, CMake), which, while valuable, do not directly align with the typical breadth of a Data Scientist role that often requires more statistical modeling, machine learning algorithms, and big data technologies. The diversity of projects is good, but their direct relevance to a senior Data Scientist role is limited.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric or English test scores are available, and project descriptions are minimal.