Publication
NLP With Google Cloud Natural Language API
https://www.toptal.com/developers/machine-learning/google-nlp-tutorial
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Maximilian Hopf
Verified Expert in Engineering
Data Science Developer
London, United Kingdom
Toptal member since June 4, 2019
Bio
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
Garner Health Technology
Python, Artificial Intelligence (AI), Data Science, Data Analysis, Pandas...
Pylink, Ltd.
Python, Data Science, Data Analysis, Artificial Intelligence (AI)...
Kreditech SSL, GmbH.
Python, R, Data Science, Data Analysis, Pandas
Experience
- Python - 10 years
- Data Science - 10 years
- R - 8 years
- Artificial Intelligence (AI) - 6 years
- Machine Learning - 5 years
- Deep Learning - 5 years
- Financial Modeling - 5 years
- Natural Language Processing (NLP) - 4 years
Work Experience
Head of Data
2020 - 2024
Garner Health Technology
- Joined Garner Health as the 4th employee, responsible for creating the company's core data analytics product. The product processes terabytes of healthcare claims data to accurately evaluate doctor performance across the US healthcare system.
- Established the company's data organization from the ground up and built a high-performing team of 25 professionals across data science, business intelligence, and data product functions.
- Helped scale Garner Health from zero to approximately $100 million in ARR within four years, as part of the leadership team, and played a key role in securing three successful funding rounds, reaching a valuation in the mid-hundreds of millions (USD).
Technologies: Python, Artificial Intelligence (AI), Data Science, Data Analysis, Pandas, LangChain, OpenAI GPT-4 API, Large Language Models (LLMs), Retrieval-augmented Generation (RAG)
Director
2018 - 2020
Pylink, Ltd.
- Worked with the BCG marketing team building advanced analytics solutions for BGC email marketing data and optimizing the email targeting and content selection and built an NLP model to identify important topics for future thought leadership campaigns.
- Developed natural language processing algorithms to extract information from legal documents.
- Led the development and deployment of financial modeling software for the structured finance sector. Managed a team of designers and front- and back-end developers.
- Developed machine-learning based 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. The project resulted in the publication of a highly-cited scientific paper.
Technologies: Python, Data Science, Data Analysis, Artificial Intelligence (AI), Natural Language Processing (NLP), Pandas
Expert Data Scientist
2016 - 2017
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.
Technologies: Python, R, Data Science, Data Analysis, Pandas
Financial Risk Manager
2014 - 2015
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.
Technologies: Python, Visual Basic for Applications (VBA), R, Data Analysis, Pandas
Experience
Predictive Model for Tennis Betting
This model uses a rich dataset to predict the outcome of professional tennis matches. Its accuracy is high enough to be used in professional sports betting.
Kreditech's Credit Scoring Algorithm
At Kreditech Max was part of a team that developed probably the world's most advanced credit scoring algorithms. These algorithms allowed the company to underwrite loans in a market segment that is considered too risky by traditional banks.
Optimizing Email Marketing Campaigns
Worked with the BCG marketing team building advanced analytics solutions for email marketing data and optimizing the email targeting and content selection.
Education
2010 - 2013
Master of Science Degree in Economics and Finance
Saarland University - Saarbrücken, Germany
2011 - 2011
Exchange Program Participant as Part of a Bachelor's Degree in Finance
Shanghai University of Finance and Economics - Shanghai, China
2007 - 2010
Bachelor of Science Degree in Mathematics
Ulm University - Ulm, Germany
Certifications
MARCH 2017 - PRESENT
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), Data Analysis, Large Language Models (LLMs), LangChain, OpenAI GPT-4 API, Retrieval-augmented Generation (RAG)
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