Olga Mirończuk – Analiza Danych · Wizualizacja

I work in data analytics and deliver end-to-end projects: from data preparation and cleaning, through analysis, to dashboards and insights.

I primarily work with Tableau, Excel, and Power Query, as well as Python (Pandas). I design calculations, parameters, filters, and LODs, integrate multiple data sources, and ensure consistent metric logic across analyses.

I’m also interested in automating analytics processes and machine learning.

Tools and Technologies: GA4 · Python · SQL · Excel · Power BI · Tableau · Git

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See my projects:

Project: A sip of data: Coffee consumption dashboard

Tools: Power BI, Power Query, Python (Pandas), Excel

Description: Survey data analysis on coffee drinking habits — from data cleaning and transformation to building interactive visualizations.

Project: Warkan – Świadomy kosztowo asystent AI dla bloga

Tools: Python, FastAPI, scikit-learn (TF-IDF), WordPress API, Cloudflare Workers AI

Description: Autorski chatbot RAG wykorzystujący TF-IDF i model językowy do wyszukiwania i generowania odpowiedzi.

Project: Shark incidents • 2000-2024

Tools: Tableau, MySQL (ETL), DBeaver

Description: Independent, pro bono analysis based on the Global Shark Attack File (GSAF) – from data import and cleaning (ETL in MySQL) to building an interactive Tableau dashboard.

Project: Training activity and progress analysis (April–November 2025)

Tools: Tableau, Power Query, Excel

Description: A project completed as part of the KajoDataSpace Challenge #04, based on real-world training data.

🏆 2nd place in the KajoDataSpace Challenge #04

Project: Seasonality of Farmer Questions in East Africa (2019–2020)

Tools: Python (pandas), Tableau, Excel / Power Query

Description: Analysis of multilingual farmers’ questions (WeFarm) to identify recurring seasonal patterns in crop production, plant diseases, fertilization, and market prices.

Project: Advent Calendar 2025 (Excel + VBA)

Tools: Microsoft Excel (UI), VBA (logic), GitHub (repo + documentation)

Description: Custom Advent Calendar – an offline Excel mini-application with an interactive interface and date-based logic.

Project: Airline Passenger Satisfaction Analysis

Tools: Excel, VBA

Description: Analytical project based on a passenger satisfaction survey (19,652 responses), identifying key drivers of overall travel satisfaction and differences across passenger segments.

Recommendations and collaborations:

The testimonials come from real data-driven projects where I was responsible for the analysis and data visualization of the results.

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Olga stood out not only for the quality of her analytical projects, but also for her exceptionally fast learning pace.

Kajo Rudziński – Founder of KajoDataSpace

She not only completed the task on time, but the results of her work for our organization were also outstanding.

Bob Myatt – Director GSAF

DataKind

Seasonality Analysis of Farmer Questions in East Africa (2019–2020) + Insights Dashboard

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Armed with your talent and skills, I am sure you are destined for great success.

Andrew Currie – Investigator, GSAF

She learns new concepts extremely quickly and is able to apply them in practice immediately, combining solid analytical reasoning with thoughtful data visualization and clear conclusions.

Kajo Rudziński – Founder of KajoDataSpace

GSAF

GSAF Data Analysis (2000–2024): Data Preparation + Dashboard of Trends and Shark Incident Characteristics

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What we found thanks to Olga’s work at the completion of the project were holes in how we captured our data and reporting incidents this has led to an overhaul which we are currently working on to rectify.

Bob Myatt – Director GSAF

I highly recommend Olga for analytical and business intelligence roles.

Kajo Rudziński – Founder of KajoDataSpace

KajoData

$KDS\$

An original project recognized and recommended by KajoData.

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She is a highly motivated, talented, and reliable professional who delivers high-quality work even under tight deadlines, often ones she set for herself.

Bob Myatt – Director GSAF

She is highly motivated, learns at an impressive speed, and would be a tremendous asset to any data-driven team.

Kajo Rudziński – Founder of KajoDataSpace

More About Me

I am a data analyst who works in a practical and process-driven way. I thrive in roles where I can break down complex problems, design the entire analytical process, and build solutions from the ground up. I therefore work on projects based on real-world data, test different approaches, iterate on solutions, and draw conclusions based on results rather than assumptions.

My journey into data began with programming in Python and an interest in machine learning and artificial intelligence. Over time, I increasingly recognized the importance of strong analytical foundations: data preparation and cleaning, pattern exploration, and clear data visualization. This part of the process has become my primary area of specialization.

On a daily basis, I work with Python, SQL, Excel, Power BI, and Tableau, selecting tools based on the problem rather than the other way around.

Tools I Use:
- Python (Pandas, NumPy, Matplotlib): Loading data from CSV and JSON files, cleaning, transforming, preparing for analysis, visualizing and documenting the process in Jupyter Notebook using good coding practices.
- SQL: Writing queries using SELECT, JOIN, GROUP BY, ORDER BY, WHERE, aggregate functions, CTE, subqueries and window functions.
- Excel: Advanced formulas (including nested and conditional), Power Query, pivot tables, simple dashboards and data preparation.
- Power BI & Tableau: Creating interactive dashboards based on well-built data models. Working with DAX, table relationships, collections, parameters and multiple data sources. I focus on clarity, logic and usability.
- Git: Version control, project organization and progress tracking.