
Full × Stack × Web × Developer || React × Node × Express × MongoDB || Obsessed with coffee ☕ & Feluda 🕵️♂️
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
WeAnalyz
Data Scientist
June 20, 2026 – Present
Barcode-scanner-react
August 2, 2024 – August 2, 2024
Barcode-scanner-react — GitHub repository
View Projectbarcode-scanner
June 2, 2023 – June 14, 2023
A simple React app to scan a barcode and make an API request to a back-end server
View Projectrupeesinword
October 29, 2021 – November 10, 2022
A Node.js package to convert rupees and show in words with support for 9 Indian regional languages (Bangla, Hindi, Gujarati, Kannada, Marathi, Odia, Punjabi, Tamil, Telugu).
View ProjectGender.io
July 26, 2021 – August 15, 2021
A machine learning model that can guess your gender by your name
View ProjectRazorpay-payment-gateway-react-node
February 20, 2021 – June 18, 2021
Razorpay-payment-gateway-react-node — GitHub repository
View Projectnode-typescript-server-demo
November 19, 2020 – November 19, 2020
A basic node js and express server, built with TypeScript.
View ProjectdevConnect-social-media
June 22, 2020 – February 1, 2023
A social media for all developers for getting and providing help to other fellow devs
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and front-end focused (React, Node.js, HTML, CSS), with only one project directly related to machine learning ('Gender.io'). This suggests a potential misalignment with a pure Data Scientist role, as the breadth of data science specific projects is limited. The current role as a Data Scientist at WeAnalyz is a positive indicator, but without details on responsibilities or achievements, it's hard to fully assess fit. The candidate's experience level is listed as 0, which contradicts the current Data Scientist role, indicating a potential data inconsistency or very early career stage.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback are available.