Maximilian Hopf
Verified Expert in Engineering
Artificial Intelligence (AI) Developer
London, United Kingdom
Toptal member since June 4, 2019
Max is a data science and machine learning expert specializing in deep learning and natural language processing. He is an expert in the finance and healthcare domains. He helped build one of Germany's most highly funded fintechs and successfully founded his own AI company in London. Max also built and led the data team of Garner Health for one of the most successful US healthtech companies, scaling the team from one to 25 people and more than $100 million in annual revenue.
Portfolio
Experience
- Python - 8 years
- R - 8 years
- Artificial Intelligence (AI) - 6 years
- Data Science - 6 years
- Deep Learning - 5 years
- Financial Modeling - 5 years
- Machine Learning - 5 years
- Generative Pre-trained Transformers (GPT) - 4 years
Availability
Preferred Environment
Slack, Jupyter, Git, Python
The most amazing...
...project I've worked on is a machine learning algorithm that accurately predicts the outcome of tennis matches.
Work Experience
Director
Pylink, Ltd.
- Developed natural language processing algorithms to extract information from legal documents.
- Led the development and deployment of a financial modeling software for the structured finance sector.
- Developed credit scoring algorithms for subprime loan applicants. This was a client project.
- Developed machine learning models for the prediction of sports events for systematic sports betting. This was a client project.
- Developed an NLP model to detect hateful comments on social media. This was a client project and resulted in the publication of a scientific paper.
- Worked with the BCG marketing team building advanced analytics solutions for email marketing data and optimizing the email targeting and content selection. Additionally, built an NLP model to identify important news topics for future thought leadership campaigns.
Expert Data Scientist
Kreditech SSL, GmbH.
- Performed research and development in machine learning technology underlying the Kreditech world-class credit scoring system.
- Led the development of a programmatic bidding engine for Google Adwords campaigns. Developed a reinforcement learning algorithm significantly outperforming human experts.
- Developed a sophisticated attribution model (Deep LSTM).
- Developed several natural language processing (NLP) algorithms.
- Applied machine learning algorithms to improve the efficiency of marketing channels.
- Built predictive models for customer behavior.
Financial Risk Manager
Alceda Fund Management, S.A.
- Oversaw UCITS and hedge funds as the risk manager.
- Developed and implemented risk and valuation models (Regression, Time Series Analysis, Monte Carlo Simulation) for the market, liquidity, credit, counterparty, and operational risks.
- Responsible for the valuation of OTC instruments.
- Reduced processing time from hours to seconds by automating work-intensive processes with R and VBA.
- Developed and controlled performance fee calculation models.
Experience
Predictive Model for Tennis Betting
Kreditech's Credit Scoring Algorithm
Optimizing Email Marketing Campaigns
Education
Master of Science Degree in Economics and Finance
Saarland University - Saarbrücken, Germany
Exchange Program Participant as Part of a Bachelor's Degree in Finance
Shanghai University of Finance and Economics - Shanghai, China
Bachelor of Science Degree in Mathematics
Ulm University - Ulm, Germany
Certifications
Financial Risk Manager (FRM)
Global Association of Risk Professionals (GARP)
Skills
Libraries/APIs
Pandas, NumPy, Scikit-learn, TensorFlow
Tools
Git, PyCharm, Jupyter, Slack
Languages
Python, R, SQL, Excel VBA, Visual Basic for Applications (VBA)
Paradigms
DevOps, Agile Software Development, Scrum, Kanban
Other
Artificial Intelligence (AI), Data Science, Financial Modeling, Deep Learning, Machine Learning, Natural Language Processing (NLP), Supervised Learning, Unsupervised Learning, Gradient Boosting, Regression Modeling, Classification Algorithms, Time Series Analysis, Forecasting, Computer Vision, Natural Language Understanding (NLU), Generative Pre-trained Transformers (GPT)
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