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Data Science · AI · Financial Markets

Where data science meets financial intelligence

M.Sc. Data Science & AI student. Big Data engineer. Active investor and trader in stocks & crypto via Trade Republic. Building AI-powered systems and data-driven decision pipelines.

Financial Profile CV & Experience
M.Sc.Data Science & AI
B.Sc.Computer Science · DHBW
3+ yrsautomotive supplier
ITIL v4Certified
DatabricksData Engineer
ActiveStocks & Crypto
Profile

Technically grounded,
financially aware.

I am Luca Andreas Holder from Metzingen, Germany. Currently pursuing a Master's in Data Science & AI after completing a dual B.Sc. in Computer Science at DHBW Stuttgart in cooperation with an automotive supplier, where I built real-world Big Data and cloud architectures over three years.

Alongside technical work, I actively engage in stock and cryptocurrency trading using Trade Republic, applying data-driven thinking and analytical discipline to financial markets.

Core Values

Data-Driven

Every decision backed by structured analysis and real evidence.

Long-term

Sustainable growth over short-term hype in both tech and finance.

Structured

Analytical, disciplined, and meticulous in execution and planning.

Ambitious

Master's-level AI expertise combined with entrepreneurial drive.

Financial Profile

Active investor & market analyst.

Investment Philosophy

Data-driven positions,
disciplined risk management.

I approach financial markets the same way I approach data problems: with structure, analysis, and a long-term perspective. I use Trade Republic as my primary brokerage and actively trade both equities and cryptocurrencies, applying quantitative thinking to market signals.

Stocks Cryptocurrencies Trade Republic Derivatives Portfolio Management Risk Analysis

Equity Analysis

Fundamental and technical analysis of individual stocks and ETFs.

Crypto Trading

Active positions in major cryptocurrencies with data-informed entries and exits.

Quantitative Tools

Python & R for market data processing, backtesting and signal generation.

Portfolio Strategy

Diversified exposure across sectors and asset classes with defined risk parameters.

Where AI meets Finance

Applying Data Science skills to financial markets.

My M.Sc. focus on machine learning, time series analysis, and data engineering translates directly to financial applications — from building predictive signals and scraping market data (PriceScrapper project) to backtesting strategies with Apache Spark at scale. The intersection of AI and quantitative finance is a core interest driving both my academic work and personal investments.

Time Series Analysis Price Scraping Backtesting Python / R ML Signal Generation Apache Spark Market Data Engineering
Education

Academic path

  • 2025 – present
    M.Sc. Data Science & AI
    ongoing Master's programme
    Focus on machine learning, deep learning, computer vision, and AI-powered application development.
  • Oct 2022 – Sep 2025
    B.Sc. Computer Science
    DHBW Stuttgart · Faculty of Technology
    Dual study programme in cooperation with an automotive supplier. Focus on Big Data, Cloud, IoT, Data Engineering.
  • 2014 – 2022
    Abitur (High School Diploma)
    Gymnasium Münsingen
    MINT focus. Participated in Junior Expert entrepreneurship programme and Simulated Worlds scholarship (University of Ulm).
Work Experience

Professional history

  • Oct 2022 – Sep 2025
    Dual Study – Data Engineering
    automotive supplier
    Designed and implemented Big Data architectures (Data Lake, Lakehouse, Data Warehouse). Cloud computing with Microsoft Azure. Apache Spark for distributed processing. IIoT platform operations.
  • Sep 2022
    Pre-Study Internship
    automotive supplier
  • 2019
    Career Orientation
    Bosch eBike Systems · Dept. AE-EB/ENB2
  • 2020 – 2021
    Junior Expert Programme
    Albtröpfle · Executive Board
    Student entrepreneurship programme — business planning, execution and leadership.
Technical Skills

From my CV — what I actually know.

Proficiency Overview
Big Data & Cloud (Azure)90%
Data Engineering (Spark, Databricks)85%
SQL / T-SQL88%
Python (ML, Data, Finance)80%
Java / C# / C85%
AI / ML / Computer Vision78%
Financial Analysis & Trading72%
Cloud & Infrastructure
Microsoft Azure Data Lake Gen2 Azure Fabric Azure Purview Terraform Docker Kubernetes
Big Data & Processing
Apache Spark Apache Airflow HDFS Apache Cassandra Databricks SAP Datasphere SAP Analytics Cloud
Languages
Java C# Python R SQL C JavaScript HTML/CSS
Certifications

Official qualifications

Databricks Certified Data Engineer Associate ITIL Foundation v4 · Dec 2023