
AI in Healthcare
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Tricog Health
Data Scientist
June 20, 2026 – Present
plant-pathology-2020-fgvc7-pytorch
May 11, 2020 – July 8, 2020
Top 26% rank Solution to kaggle competition on Plant leaf classification
View Projecttorch-gcp-fn
December 12, 2019 – Present
Deploy image classification on GCP as cloud function
View Projectimfeatures
March 3, 2019 – March 3, 2019
Minimal image feature extractor using deep learning models in PyTorch
View Projectmtcnn-face-detect
November 7, 2017 – November 7, 2017
Detects face from webcam using MTCNN
View Projectpytorch-gan
June 5, 2017 – September 24, 2019
Modified and example codes of GAN in pytorch
View Projecttensorflow-wrap
March 24, 2017 – August 11, 2017
code snippets to wrap around tensorflow api
View Projectplane-segmentation
May 28, 2016 – June 2, 2016
Contains codes for calculating planes from rgbd-data
View Projectdynamic_mapping
June 23, 2015 – June 26, 2015
Repo for updating with dynamic occupancy grids
View ProjectHMM-occupancy_grid
April 22, 2014 – March 12, 2015
It contains codes for developing HMM over occupancy grid in dynamic environments for robot mapping and localization.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in machine learning and robotics. The current role as a Data Scientist at Tricog Health aligns with the target role. However, the experience level is listed as 0, which contradicts the current full-time role, making it difficult to fully assess cultural fit and professional experience depth. The project diversity is good within the ML/CV domain, but lacks breadth in other data science areas like MLOps, data engineering, or advanced statistical modeling beyond deep learning applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no insight.