
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
auto-market-frontend
September 1, 2025 – September 1, 2025
auto-market-frontend — GitHub repository
View ProjectMongoDB-NodeJs-AggregationQuery
November 19, 2020 – November 19, 2020
MongoDB-NodeJs-AggregationQuery — GitHub repository
View ProjectNestJs-Kickstart
November 16, 2020 – November 18, 2020
The boilerplate code to kick-start NestJs/Postgres project development
View ProjectNodeJs-and-Elasticsearch
October 20, 2020 – October 25, 2020
This is demo work to perform the basic Elasticsearch operations and also to test Elasticsearch percolation queries
View ProjectSSD-Mobilenet-Custom-Object-Detector-Model-using-Tensorflow-2
October 19, 2020 – April 16, 2023
This repository contains the script and process to create custom SSD Mobilenet model for object detection
View ProjectNeo4J-Mongo-DB-Use-in-Grails
February 6, 2015 – February 6, 2015
How to use aspect to duplicate data in Neo4j and Mongodb . As well as using
View ProjectGrails-spring-security-rest-plugin-configuration
December 28, 2014 – December 29, 2014
Grails-spring-security-rest-plugin-configuration — GitHub repository
View ProjectGrails-Springsecurity-username-email-login
December 27, 2014 – December 27, 2014
This sample is project is about how to configure grails spring security plugin to login via email or username
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of technologies, including machine learning (TensorFlow), backend development (Node.js, NestJS, Grails), and database management (MongoDB, Neo4J). While this breadth indicates adaptability, the majority of projects are personal and do not clearly align with a senior Data Scientist role's typical enterprise-level challenges or collaborative environments. The focus on web development frameworks (Grails, NestJS) and front-end technologies (CSS, HTML) suggests a broader developer background rather than a specialized data science profile. The lack of professional experience or team projects makes it difficult to assess cultural fit in a collaborative data science setting.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, indicating no completed test results.