Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
phyllotaxis
March 12, 2018 – March 12, 2018
Project: Phyllotaxis: Draw flowers using mathematics
View Projectgravitational-waves-data-analysis
December 2, 2017 – December 2, 2017
Data analysis of a compact binary system (black hole / neutron star) by modeling the linear combination of gravitational wave polarizations. The wave signal is computed as a real-time series and expressed as function of time-variant amplitude and phase. The analysis applies Fourier transformation and Gaussian normalization to wave signals, and provides data visualization for amplitude, phase, wave-signal and noise. All codes have been implemented in Python3.
View Projectxor-neural-network
December 2, 2017 – December 2, 2017
A multi-layered neural network that models the fundamental logic gate XOR by modeling given input and output parameters over a set of boolean values ( logic 0 and logic 1 ). The mathematical function sigmoid(x) is set as the activation function and randomly-initialized weight / bias matrix are used, which improve along with the process-cycle, by deploying a batch gradient descent with a learning rate of 0.1. The code for the neural network is implemented in Python3.
View Projectchaser-drone
December 1, 2017 – December 1, 2017
Chaser Drone based on ROS, ROS WhyCon technology, simulated in Gazebo real-world physics simulator. WhyCon employs flood-filling image-processing algorithm to detect markers. Proportional–integral–derivative control algorithm is employed to control drone motion. All codes implemented in Python and integrated with ROS Core and ROS WhyCon .
View Projectiris-machine-learning
November 30, 2017 – November 30, 2017
Statistical Analysis on Iris Dataset and performance evaluation of Machine Learning Algorithms based on precision and accuracy metric
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards individual technical exploration and problem-solving, particularly in data science and robotics. The projects are primarily personal, which suggests self-motivation and curiosity. However, there is no explicit evidence of team collaboration or diverse project types beyond personal technical endeavors, which limits the assessment of cultural fit in a collaborative team environment. The projects align with a data scientist role, but the breadth of technologies and domains is somewhat narrow, focusing heavily on Python and specific ML/data analysis tasks.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's projects indicate an ability to work independently on technical challenges.