My dream once was to walk the Magnolia Lane in Augusta to play the great golf Masters. In 15,000 hours I worked the handicap out of my game.
Each day I examined another aspect in myself and became more industrious. I owe a lot to the game as I know today, not only self-control.
My teenage years with ancient Greek philosophy had remarkable impact on my sport. Plato was right: 'The first and greatest victory is to conquer oneself'.
My plan today is to adapt inference procedures for data and find mathematical methods for high-dimensional markets.
Programming languages, Skills
Frameworks: Vapor (Server-side-swift), Apple Vision, Ruby on Rails
Machine Learning, SQL, Git, Mathematics, CSS, LaTeX, UML, Pandas, Numpy, Seaborn, Scrum, Terminal, Wordpress, HTML
Baruch College New York: C++ for Financial Engineering with Academic Distinction
Bloomberg Market Concepts
HackerRank: SQL - Advanced
Tutor Operations Research
1. Linear optimization
2. Integer optimization
3. Graph theory and combinatorial optimization
4. Nonlinear optimization
5. Game theory
Fullstack development of the TUM Ninja iOS-App.
The app offers exercises and workouts that specifically prepare users for this parkour and the app encourages users to integrate more movement into their everyday study-routine.
M.A. Transcript of records
Mathematics of Finance
Machine Learning for Finance, Grade: A+
Stochastic Processes – Applications I, Grade: A
Statistical Inference / Time-Series Modelling, Grade: A
Introduction to the Mathematics of Finance, Grade: A
Statistical Machine Learning
Programming for Quantitative & Computational Finance
Numerical Methods In Finance
Stochastic Methods in Finance
Mathematical Methods in Financial Price Analysis
Mathematical Finance Practicioner's Seminar
B. Sc. Transcript of records
Introduction to Object Oriented Programming (6 ECTS)
Practical Course: Fundamentals of Programming (6 ECTS)
Introduction to Business Computer Science (5 ECTS)
Financial Accounting and Reporting (6 ECTS)
Fundamentals of Algorithms and Data Structures (6 ECTS)
Introduction to Software Engineering (6 ECTS)
Information Technology and Society (5 ECTS)
Cost Accounting (6 ECTS)
Linear Algebra for Computer Science (8 ECTS)
Fundamentals of Databases (6 ECTS)
Software Engineering for Business Applications (5 ECTS)
Investment and Financial Management (6 ECTS)
Macroeconomics 1 (6 ECTS)
Discrete Mathematics (8 ECTS)
Leadership of High-Tech Organizations (3 ECTS)
Analysis for Informatics (8 ECTS)
Empirical Research Methods (6 ECTS)
Operations Research (6 ECTS)
Statistics (with R) (6 ECTS)
Introduction to Computer Networking and Distributed Systems (6 ECTS)
Seminar: Ethics for Nerds (Paper: Blockchain from an Ethical Perspective) (5 ECTS)
Macroeconomics 2 (6 ECTS)
Practical Course: iOS Software Engineering (10 ECTS)
Middleware and Distributed Systems (5 ECTS)
Seminar: Collective Agency in sociotechnical systems
(Essay: Smart Contracts: Actually that smart?) (3 ECTS)
Korean A1 (3 ECTS)
Spanish A1 (3 ECTS)
Bachelor's Thesis and Presentation in Information Systems:
Development and Assessment of a Mobile Machine Learning Golf Analysis Application (25 ECTS)
(Mobile computer vision and deep CNN's)
Projects I'm working on
AI trading bot that can buy, sell and hold stocks using deep Q-Learning.
Graduate teaching assistant for the Columbia University ML for Finance grad course.