
Back-end Developer, MEAN Stack, Open-Source, DevOps
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Credit-Card-Fraud-Detection-
February 29, 2020 – February 29, 2020
This will predict the fraud transaction using Machine Learning by analyzing the ups and downs of the data processed by the users.
View ProjectWeb-Server-Implementation-Using-Python
February 29, 2020 – February 29, 2020
This is a basic implementation of a web server using python to depict the working of requests and providing the specific data to the users requesting.
View ProjectGarbage-Monitoring
February 29, 2020 – February 29, 2020
This project basically detects the amount of garbage in the dustbins and gives an alarm to the admin if any dustbin is filled or overloaded which initiates the cleaning process which is done by the garbage collector just to make sure that the surrounding is cleaned and the garbage collector does not have to roam all over the places to check which dustbin is filled which indeed will save the fuel consumption and reduce unnecessary running of the vehicles.
View ProjectNumber-Plate-Detection
February 29, 2020 – February 29, 2020
This project basically detects the number plate of the cars and stores them in a database and when required can be used for reference in the future or identifying a person based on the number plate registration.
View Projectstack-application
February 1, 2019 – February 1, 2019
stack-application — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a focus on individual contributions and personal interest. The diversity of projects (ML, networking, embedded systems) indicates a broad curiosity, but also a lack of deep specialization in any single area relevant to a senior Data Scientist role. The absence of team projects or collaborative efforts makes it difficult to assess cultural fit for a team-oriented environment. The projects are primarily academic or personal explorations, not indicative of industry-level collaboration or problem-solving.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.