Computer Vision enthusiastic , Image processing and machine learning Researcher.
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Assessing your cultural and operational fit
TFJS_emotion_check
February 16, 2019 – February 16, 2019
TFJS_emotion_check — GitHub repository
View ProjectTensorflow-practice-
April 24, 2017 – April 24, 2017
practice script for Deep learning using Ipython notebook for tensorflow..repo contains linear model for MNIST dataset; CNN for MNIST dataset
View ProjectDeep-learning-scrachpad
April 7, 2017 – April 7, 2017
Deep-learning-scrachpad — GitHub repository
View ProjectFace-annotations-Recognizer-opencv-c-
March 26, 2017 – March 26, 2017
Face annotations / Recognizer utilizes fisher keypoints as a features and nearest neighbors as classifier.
View ProjectSclera-segmentation-vessel-detection-matlab
March 22, 2017 – March 22, 2017
Sclera segmentation and vessel detection using hessian and Firangi filter matlab code
View ProjectHOG-person-detector-opencv
March 22, 2017 – March 22, 2017
Person/ people detector using opencv c++ implementation
View ProjectImage-enhancement-using-negative-processing
March 22, 2017 – March 22, 2017
Enhancement uses gamute correction of image by transforming to HSI and CMY color space
View Projectauto-face-censor-using-opencv-c-
March 16, 2017 – March 16, 2017
Auto face censor in live video using opencv and c++
View ProjectCultural Fit Analysis
The candidate's projects are primarily focused on computer vision and image processing, which aligns with some aspects of a Data Scientist role, particularly in areas involving image data. However, the breadth of projects beyond these specific areas is limited, and there's no explicit mention of traditional data science skills like statistical modeling, machine learning (beyond deep learning for images), data manipulation, or deployment of models in production environments. The projects are all personal, indicating self-motivation but lacking team collaboration context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.