
Data Engineer - ML/AI Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Minkops AI
Data Scientist
June 29, 2026 – Present
pomodrone
December 5, 2025 – Present
Pomodoro timer with a three-color minimalist UI, standard macOS chrome/translucency, insights and more.
View Projectcontrib-graph
September 23, 2025 – September 23, 2025
A small repo to access the contribution graph for other personal projects.
View Projecttiny-projects-fastapi
December 12, 2024 – Present
tiny-projects-fastapi — GitHub repository
View Projecttiny-projects-de
August 17, 2024 – Present
Repo designed to teach Data Engineering to students from Australia, Canada and India. Includes problems and projects on Data Engineering ranging from foundational to advanced level.
View Projectseehorse
January 17, 2024 – April 18, 2024
A Google Glass application for image to audio generation to assist the blind.
View Projectdata-analysis
January 14, 2024 – January 14, 2024
Small projects I did when I was beginning with Data Analysis using Python and popular libraries.
View Projectdsa-problems
December 12, 2023 – Present
Practice problems, tips and tricks, and methodologies to solve popular problems from LeetCode, Cracking the Coding Interview, and many other sources.
View Projectfootball-data-analysis
March 30, 2023 – April 5, 2023
football-data-analysis — GitHub repository
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards personal projects, which suggests a proactive and self-driven individual. The diversity of projects, from image-to-audio generation to data engineering education, indicates a broad interest in technical challenges. However, the current experience level is listed as 0, and the only professional experience is a current Data Scientist role starting in the future (2026), which makes it difficult to assess real-world team collaboration or professional work ethic. The projects are primarily individual, limiting insight into collaborative work styles.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear, but there are no completed psychometric or English tests to provide further insight.