About Me
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'.
Now I will use machine learning techniques, applied mathematics, and statistics to develop algorithms and models and predict market movements. Let us uncover and capture opportunities.
Programming languages, Skills
Machine Learning, SQL, Git, Mathematics, CSS, LaTeX, UML, Pandas, Numpy, Seaborn, Scrum, Terminal, Wordpress, HTML
Swift, C++, Python, Java, C, R, MATLAB, VBA, Javascript, PHP (in order of proficiency)
Frameworks: Vapor (Server-side-swift), Apple Vision, Ruby on Rails
Certificates
Baruch College New York: C++ for Financial Engineering with Academic Distinction
Bloomberg Market Concepts
HackerRank: SQL - Advanced
Tutor Operations Research
Teaching areas:
1. Linear optimization
2. Integer optimization
3. Graph theory and combinatorial optimization
4. Nonlinear optimization
5. Game theory
TUM Ninja
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 with a specialization in the Mathematics of Finance
Semester
Machine Learning for Finance
Stochastic Processes – Applications I
Statistical Inference / Time-Series Modelling
Introduction to the Mathematics of Finance
Semester
Statistical Machine Learning
Programming for Quantitative & Computational Finance
Numerical Methods In Finance
Stochastic Methods in Finance
Semester
Mathematical Methods in Financial Price Analysis
Mathematical Finance Practicioner's Seminar
B. Sc. Transcript of records
Information Systems
Semester
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)
Semester
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)
Semester
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)
Semester
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)
Semester
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)
Semester
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
Projects I'm working on
- All
- Educational
- Academic
- Personal
Operations Research TA
Tutorial for the TUM-Course Operations Research IN0024.
Machine Learning for Finance TA
Graduate teaching assistant for the Columbia University ML for Finance grad course.
RL Trading Bot
AI trading bot that can buy, sell and hold stocks using deep Q-Learning.
Predicting stock prices
One-step and multi-step forecasting of AAPL using LSTM networks.
TUM Ninja iOS App
Complements the use of the exercise-facilities on the TUM-ZHS campus.
ML AR Sports App
Striving to prevent injuries among recreational athletes with Computer Vision.
ML AR Sports App
Striving to prevent injuries among recreational athletes with Computer Vision.
Cookime
It-based startup for the health industry.
Contact
New York
114th St
10025 New York
USA
Berlin
Schiffbauerdamm 5
10117 Berlin
GERMANY
Phone
+1 (646) 233-6273
+49 911 999 6 999