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quic
Data Scientist
June 16, 2026 – Present
Neural-Networks-and-Deep-Learning
December 11, 2017 – July 10, 2018
Neural Networks and Deep Learning | Coursera | Andrew Ng | deeplearning.ai
View ProjectIntroduction-to-Data-Science-in-Python
December 9, 2017 – December 10, 2017
Assignments and Resources for Introduction to Data Science in Python course on Coursera by University of Michigan
View ProjectCoursera-Machine-Learning-by-Stanford-University
October 5, 2017 – October 5, 2017
Assignments' Solution of Coursera Machine Learning by Stanford University by Andrew Ng
View ProjectIntroduction-to-Programming-with-MATLAB
August 10, 2017 – August 10, 2017
Coursera - Introduction to Programming with MATLAB
View ProjectA-developer-guide-to-the-Internet-of-Things
August 10, 2017 – August 10, 2017
Coursera - A developer's guide to the Internet of Things
View ProjectCoursera-The-Raspberry-Pi-Platform-and-Python-Programming-for-the-Raspberry-Pi
July 29, 2017 – October 25, 2017
Coursera | The Raspberry Pi Platform and Python Programming for the Raspberry Pi | Assignment
View ProjectCoursera-Interfacing-with-the-Arduino
July 29, 2017 – October 25, 2017
Coursera | Interfacing with the Arduino | University of California, Irvine | Assignment
View ProjectCoursera-The-Arduino-Platform-and-C-Programming
July 29, 2017 – October 25, 2017
Coursera | The Arduino Platform and C Programming | University of California, Irvine
View ProjectMPU-6050-MATLAB-Toolbox
July 3, 2017 – January 20, 2018
Calibration and Calculation of orientation from MPU-6050 Accelerometer + Gyro and Data Visualization with Matlab
View ProjectLine-Follower-Robot
February 28, 2017 – February 28, 2017
Arduino Based Line Follower Robot using PID Algorithm
View ProjectCultural Fit Analysis
The candidate's projects are primarily academic/personal Coursera assignments, indicating a strong learning drive. However, the diversity of real-world project experience is limited. The current role as 'Data Scientist' at 'quic' is noted, but without details on responsibilities or achievements, it's difficult to fully assess cultural fit and practical application of skills. The projects lean heavily towards foundational learning rather than complex, collaborative data science initiatives.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.