Hi, I'm Richard, a Data Scientist from Hungary.

Welcome to my Portfolio page.

I am a Microsoft Certified Data Scientist with international experience in working on data analytics and research covering the entire BI pipeline: ETL, data modeling, visualization, reporting and ML-based advanced analytics.

Outside work, I like to spend my time in the mountains, climbing or hiking.

There is not a single aspect of life that doesn't interest me.

Have a look at my CV!

Richard_Csanaki_CV.pdf

Projects

Global HR Reporting

The first fully integrated BI pipeline utilizing all global HR data available inside a decentralized international organization using SAP, Workday, SQL, Office 365 source systems

Smart hearing aid startup:

• Noise removal ML solution deployed on embedded audio processor

• Challenge: getting a pre-trained noise removal model working on an Arduino system with C and CPython

BSc Thesis - "Data-based decision making with machine learning tools on equity market data"

Building a Dueling Deep Q-learning AI solution to determine long-term profit-oriented/volatility-optimized behavior given a multi-dimensional stock market batched input dataset and a closed action space. The developed machine learning pipeline combines the power of reinforcement deep learning with the methodology of model-based dueling Q-learning. 

Link to thesis 

Global HR Advanced Analytics

Building on the Global HR Reporting system's cleaned data, experimenting with Azure automated ML solutions and manually built models to determine employee retention and potential promotions 

CV RAG Project

An LLM-based RAG project that enables users to ask questions about the content of multiple candidates' CVs/resumes: their work experience, skills, other elements of their professional career and comparison to other candidates

Demo on YouTube

Fraud detection - "VideoCC AI"

- Machine learning-based computer vision/Convolutional Neural Network model development (OpenCV, dlib)

- Automatization framework development for video data pre-processing, metadata storage, analysis and playback utilization 

Hungarian State Railways - "MÁV JÉ"

- Automated SSIS package generation with Biml and C#

- Oracle and SQL Server environment comparisons

- Automated testing of ETL process results

- Power BI Report Server and SSAS model usage monitoring

- Automated test case generation with SQL and C# within Abylon Rapid Analytics

- Governance reports (BI process metadata analysis)

- OLAP cube construction

- Code-based Power BI Report Server management and manipulation within Abylon Rapid Analytics 

National Ambulance Service - "BI" and "MINTA"

- Microsoft BI environment set-up (SQL Server, Visual Studio, Power BI Report Server, etc.)

- OLAP cube construction 

Space(X) Survival: Mars

A little animated game made in Java.

Link to game

Stock.ly

My Android application that collects the current and historical stock prices from the NYSE and displays it on an intuitive user interface while also being able to aggregate news from MarketWatch.com RSS feed. 

Link to app

Honors & Awards

Scholarship of the Republic

2018, 2019, 2020

New National Excellence Program

2018

3rd place award in the National MSc and BSc Thesis Competition 2021

My BSc thesis, titled "Data-based decision making with machine learning tools on equity market data" has achieved the 3rd place award in the yearly MSc and BSc Thesis National Competition, organized by the Scientific Association for Infocommunications.

Scholarship of the Republic

2018, 2019, 2020

New National Excellence Program

2018

Best Poster Presentation - OGIK

"Big Data driven automated data analysis and decision-making, the basics of machine learning"

Business Informatics Professional Scholarship

2017, 2018

Scholarship for my work with NETvisor Zrt. on the Gateway 1.0 project. 

Best Student of Business Informatics at the University of Sopron

2017, 2018, 2019, 2020

Social Media Links

Some highlights throughout the years