Software Engineer and Data Scientist.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
nft-collectible-frontend
November 25, 2021 – November 25, 2021
A web3 frontend built with React
View Projectnft-collectible-contract
October 31, 2021 – November 10, 2021
A starter repository for NFT Collectible Smart Contracts
View Projectscrappy-squirrels
September 18, 2021 – January 7, 2023
The frontend of the Scrappy Squirrels NFT Project
View Projectgenerative-art-nft
September 18, 2021 – April 5, 2024
A generative art library for NFT avatar and collectible projects.
View ProjectHands-On-Recommendation-Systems-with-Python
April 10, 2018 – January 30, 2023
Hands-On Recommendation Systems with Python published by Packt
View Projectmovies
October 11, 2017 – October 24, 2017
Second Springboard Capstone Project: A Movie Recommender
View Projectinferential_stats_pycon
September 1, 2017 – August 26, 2018
The code repository for the talk delivered on Inferential Statistics at SciPy India 2017
View Projectairbnb
August 14, 2017 – October 7, 2017
The Springboard Capstone Project to predict new Airbnb User Bookings.
View Projectdsc_springboard
July 26, 2017 – November 16, 2017
Repository for all the code written as part of the Springboard's Data Science Career Track
View Projectpythonutils_online
October 9, 2016 – January 20, 2019
A Collection of Utility Python Scripts to automate everyday tasks.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and diverse, including generative art, recommendation systems, and NFT development. While this shows initiative and a broad interest in technology, the direct alignment with a 'Software Engineer - Python and Data Ecosystem' role is moderate. Many projects lean towards data science or blockchain, which are related but not exclusively core software engineering in a data ecosystem. The lack of team-based projects or professional experience makes it difficult to assess collaboration or enterprise cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.