Projects, certifications, and learning notes.

A collection of ski jumping statistics built with PostgreSQL, SQL, and PL/pgSQL. Each analysis translates sporting rules into reproducible database queries and presents the resulting records, rankings, and performance insights using CTEs, window functions, aggregations, views, and database functions.

The underlying FIS competition data is collected, validated, and loaded into PostgreSQL by a supporting ETL pipeline written in Python.

Earned on May 13, 2026, after completing DataCamp’s Data Analyst in Power BI career track as preparation for the PL-300 exam. The learning path covered data preparation with Power Query, semantic modeling, DAX, data analysis, visualization, and report design.

Earned on May 8, 2024. The certification validates foundational knowledge of MongoDB development, including document-oriented data modeling, querying, aggregation, indexing, and working with MongoDB from application code.

I started this project in 2021 and revisited it several times as my programming skills evolved. Through successive rewrites, it reached its current form in 2025–2026.