Albert Ulysses

Data Scientist

https://talent.gravityer.com/albert-ulysses

Software Engineer in San Jose, CA.

San Jose, Canada

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science, through multiple personal projects.
Experience with data analysis and scientific computing, as evidenced by the 'PFAS-Analysis-and-Intervention' project.
Familiarity with Jupyter Notebooks, a common tool in data science workflows.
Exposure to various programming paradigms and languages (Rust, Zig, JavaScript, HTML, CSS) indicating a broad technical curiosity.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio shows a strong inclination towards personal learning and exploration across various programming languages and domains. While there's a clear interest in data-related projects ('PFAS-Analysis-and-Intervention', 'mapylary'), the overall diversity of projects (e.g., 'command-line-rust', 'Zig-Lox-Port', 'Collabathon_2019') suggests a broad technical curiosity rather than a focused alignment with a specific data science role. The lack of professional experience or team-based projects makes it difficult to assess collaboration or cultural integration.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Zig-Lox-Port

February 21, 2026 – Present

Porting Lox VM to Zig

View Project

PyLox

January 24, 2026 – Present

PyLox — repository

View Project

command-line-rust-solutions

June 17, 2024 – June 17, 2024

Solutions for Command Line Rust Book

View Project

workout-python

December 1, 2022 – December 1, 2022

My Solutions to the Python Workout Book

View Project

minigrep

December 1, 2022 – December 19, 2022

Grep implementation in Rust

View Project

mapylary

November 14, 2020 – November 16, 2020

An API wrapper for Mapilary

View Project

command-line-rust

March 5, 2020 – August 6, 2024

Code for Command-Line Rust (O'Reilly, 2024, ISBN 9781098109417)

View Project

radio_days

November 15, 2019 – December 8, 2022

An interactive radio experience for your daily commute

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Collabathon_2019

November 14, 2019 – January 11, 2023

This repo is for participant of the Open Climate Collabathon to push specific code projects they build

View Project

PFAS-Analysis-and-Intervention

October 10, 2019 – August 20, 2020

“Interpretation of multiple time-point PFAS concentration data for a water district can provide insights into possible sources of contamination. However, thorough analyses can be complex and time-consuming. The goal of this project is to develop data analytic tools to expedite the analysis process for a water district, including statistical hypothesis testing of potential transport pathway factors, such as rainfall.

View Project

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science, through multiple personal projects.
Experience with data analysis and scientific computing, as evidenced by the 'PFAS-Analysis-and-Intervention' project.
Familiarity with Jupyter Notebooks, a common tool in data science workflows.
Exposure to various programming paradigms and languages (Rust, Zig, JavaScript, HTML, CSS) indicating a broad technical curiosity.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Albert Ulysses

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit