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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
QRNotMaker
July 19, 2025 – Present
Make a note form images and text and export as an image.
View ProjectBullyProcess
December 12, 2016 – December 15, 2016
Simulating the Bully election algorithm using Windows Sockets 2
View ProjectVoiceGenderRecognition-Matlab
August 12, 2016 – August 12, 2016
Matlab scripts used to develop DSP voice gender identification algorithm
View ProjectVoiceGenderRecognition
August 12, 2016 – August 12, 2016
DSP gender recognition on voice by detecting the frequency of the speech.
View ProjectImageViewer
August 9, 2016 – August 9, 2016
An image viewer application developed for IG TV in 2013 using Qt QUICK
View ProjectQMLWebviewWidget
August 9, 2016 – August 9, 2016
QWebView widget panted on QQuickPaintedItem to be used in Qt Quick 2 application The idea is suitable for embedding any QWidget inside Qt Quick 2 (QML) application. Thanks to Zmey, http://stackoverflow.com/questions/17675310/embed-qwidget-object-in-qt-quick-2
View Project-SKT
August 9, 2016 – August 9, 2016
New Qt GUI for simple-kinect-touch (SKT). SKT: https://code.google.com/p/simple-kinect-touch/ My task: https://www.odesk.com/jobs/~01723c069b8e3ad968
View ProjectQt-BLE-Tester
March 23, 2016 – March 15, 2025
Test program for Qt Bluetooth low energy (scan devices and services, send and receive data)
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and focused on C++ and Qt development, with some exposure to DSP and Matlab. While there's a project related to 'VoiceGenderRecognition', the overall project portfolio does not strongly align with a 'Data Scientist' target role, which typically requires extensive experience in machine learning, statistical modeling, data analysis, and relevant programming languages (e.g., Python, R) and tools. The diversity of technologies is limited, and there's a lack of projects demonstrating data science specific methodologies or tools. This suggests a moderate cultural fit, as the core technical background is not directly in data science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Project descriptions are brief and do not provide insights into collaboration, problem-solving approaches, or communication style.