I am an Aeronautical Engineer based in Riga, Latvia, combining hands-on aviation experience with a growing specialisation in Data Analytics. My goal is to work in the aviation industry — ideally at an airline — where I can use data to solve real operational and engineering problems.
With background experience at SmartLynx Airlines and AMAC Aerospace in MRO operations, maintenance planning, and avionics administration, I bring domain knowledge that most data analysts simply don't have. I know what an Airworthiness Directive is. I've worked with AMOS and OASES. I understand what the data means — not just how to query it.
I am currently completing my MSc in Mechanical Engineering (Aviation Transport) at Riga Technical University.
My master's thesis: "Evaluation of Classical Fault Detection Methods for Aircraft Air Data Sensors Using Simulated Flight Data" — applying statistical signal processing and Python-based data pipelines to sensor anomaly detection.
Core Languages
Python (Pandas, NumPy, Matplotlib, Seaborn) · SQL (CTEs, Window Functions, JSON unnesting) · Google BigQuery · PostgreSQL
Business Intelligence & Visualisation
Tableau · Power BI · Google Sheets
Product & Web Analytics
Google Analytics 4 (GA4) · Amplitude · User Journey Mapping ·
Event Taxonomy Design · TTFV
Aviation Systems
AMOS · OASES · AirnavX · ROAM · ADS-B / OpenSky Network
✈️ European Airspace Fleet Analysis — fetching live ADS-B data from OpenSky Network API, classifying flight phases, and analysing aircraft behaviour patterns across European airspace using Python and Pandas.- 📊 Instagram Analytics for @airfighters — building a social media performance analysis framework for a 430K+ follower aviation page, covering audience growth, engagement rates, and content strategy.
- 🎓 MSc Thesis — finalising sensor fault detection research using simulated flight data and classical statistical methods.
- 📚 Data Analytics Course — currently in Block 4 (Python & Jupyter Notebook), actively applying course skills to real-world aviation projects.
| Project | Tools | Focus |
|---|---|---|
| European Airspace Fleet Analysis | Python, OpenSky API, Pandas |
Live ADS-B data, flight phase classification |
| Instagram Analytics (@airfighters) | Python, Pandas, Seaborn |
Audience growth, content performance |
| SQL Database & Marketing Analytics | SQL, BigQuery, GA4 |
ROMI, funnel diagnostics |
| SaaS Funnel Dashboard | Power BI, Tableau |
User journey, drop-off analysis |
| Product Tracking Architecture | Excel, Amplitude |
Event taxonomy, TTFV mapping |
| GA4 E-commerce Conversion Funnel | GA4, SQL |
Conversion behaviour |
| SaaS MRR & Retention Analytics | Python, Power BI |
Churn, cohort retention |
I guide @airfighters on Instagram — an aviation community of 430K+ followers. When I'm not working on my thesis or learning codding, I'm playing video games, running regularly (at least I am trying) and slowly learning Deutch! 🤌