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Live to build awesome things every day @scify. When not writing code I play music, take photos, and work out.
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scify
Data Scientist
June 23, 2026 – Present
env-json-converter
November 22, 2024 – February 2, 2025
A secure tool to convert between .env and JSON file formats locally.
View Projectroot2data
August 3, 2024 – November 20, 2025
A repository to convert .root files to .h5 or .sqlite or .parquet data format
View Projectmusic-file-transformer
April 9, 2023 – April 10, 2023
A simple python script that recursively searches for files and transforms them to mp3, using ffmpeg.
View ProjectCoursera-Machine-Learning-Foundations-A-Case-Study-Approach
February 18, 2020 – March 8, 2020
Course material and assignment repository for the "Machine Learning Foundations: A Case Study Approach" on Coursera.
View Projectpaulisaris-blog-posts
August 17, 2019 – November 15, 2024
My awesome posts for my neat professional blog!
View ProjectAngular-playground
April 27, 2019 – April 27, 2019
A simple angular app demonstrating Angular Material components
View ProjectCoursera-Nativescript-Restaurant-app
January 20, 2018 – February 8, 2018
A Restaurant mobile app written in Nativescript, for the https://www.coursera.org/learn/nativescript Coursera course.
View ProjectLibGDX-Game-app
December 18, 2017 – January 8, 2019
"Jack the Giant" is a prototype game built with Java and the LibGDX framework
View Projectcoursera-object-oriented-design-sharing-app-capstone
October 12, 2017 – October 15, 2017
Codebase for an Adnroid app developed as capstone project in Coursera "Object Oriented Design" MOOC.
View Projectjavascript-asana-extensions
September 26, 2014 – February 3, 2015
Count total hours remaining on your asana project
View ProjectCultural Fit Analysis
The candidate's project history shows a strong inclination towards personal learning and development, particularly through Coursera. The projects are diverse in technology but many are foundational or course-related, indicating a learning-oriented individual. The current role as 'Data Scientist' at 'scify' aligns with the target role, but the 'experienceLevel' of 0 suggests this is a very recent or entry-level position. The breadth of skills across various programming languages (Python, Java, JavaScript, C++) and frameworks indicates adaptability, but also a potential lack of deep specialization in Data Science specific tools beyond basic Python.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.