Data Science Consultant | Machine Learning | NLP
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- 18.01.2024
Kurzvorstellung
Qualifikationen
Projekt‐ & Berufserfahrung
2/2023 – 8/2023
Tätigkeitsbeschreibung
AUTOMATED DATA EXTRACTION FROM INSURANCE DOCUMENTS
- Implemented an end-to-end data extraction workflow for insurance documents, involving use case discovery, AI vendor selection, model training and deployment.
Data Science, Microsoft Azure, Microsoft Power Apps, Microsoft Power Automate, Natural Language Processing (NLP)
1/2023 – 1/2024
Tätigkeitsbeschreibung
On-demand Data Science & AI Consulting
• Advising clients in the legal sector on building custom Azure OpenAI bots.
• Developing bots and enhancing performance with LlamaIndex.
• Delivering tailored data analyses.
Microsoft Azure, Natural Language Processing (NLP), Python
6/2022 – 12/2022
Tätigkeitsbeschreibung
STREAMLINING DATA SOURCES AND PREDICTING CONDITION-BASED MAINTENANCE
I was responsible for all Data Science tasks in a team of three people (data engineer, data scientist and project lead).
- Data discovery and validation: there were multiple data sources for the same data.
- Creation of a process map and project plan.
- Writing of data engineering pipelines to turn data into input for ML models.
- Training and evaluation of ML models.
- Delivery of model output to another team as input for their model.
Data Science, Docker, Git, Python, Scikit-learn
4/2021 – 6/2022
Tätigkeitsbeschreibung
MULTI-TURN CONVERSATIONAL VOICE ASSISTANT FOR MEDICAL APPOINTMENTS
I led the development of a multi-turn voice-based conversational AI (Natural Language Understanding, Speech-to-Text (STT), Text-to-Speech (TTS)) for scheduling medical appointments.
- Built, evaluated and deployed Transformer-based NLP pipelines.
- Trained, fine-tuned, evaluated and deployed STT and TTS models.
- Supported project management with resource allocation and requirements engineering.
- Mentored and onboarded other data scientists and developers.
- Ran regular product demonstrations for senior client stakeholders.
Data Science, Deeplearning4j, Docker, Git, Microsoft Azure, Natural Language Processing (NLP), Python, Scikit-learn
12/2020 – 3/2021
Tätigkeitsbeschreibung
CUSTOMER ANALYTICS COACHING AND CHURN PREDICTION
- Data science project coaching: how to come up with use cases and how to set-up a data science project.
- Review of existing models.
- All aspects of the customer churn analysis:
- Data quality evaluation & data discovery.
- Preprocessing of data.
- Feature selection.
- Model training and evaluation.
Python, Scikit-learn
6/2020 – 12/2020
Tätigkeitsbeschreibung
1. Project: Information extraction from banking documents
- Preprocessing of data.
- Training of a named entity recognition model to identify bank names.
- Visualisation of the relation between bank names in a network graph.
2. Project: Time-series analysis of net new money
- Data discovery and data preparation of internal and external data.
- Training of a time-series model (ArimaX).
- Documentation and hand-over.
Data Science, Named-entity recognition (NER), Natural Language Processing (NLP), Python, Statistik (allg.)
5/2020 – 7/2020
Tätigkeitsbeschreibung
I was responsible for all aspects of the PoC
- Review of existing models.
- Creation of analytical project plan.
- Data discovery and data processing.
- Feature engineering, modelling and hyperparameter tuning.
- Evaluation, documentation and hand-over to internal team.
Data Science, Predictive analytics, Python, Scikit-learn
Zertifikate
Ausbildung
University of Amsterdam
Amsterdam
Central European University
Budapest
Leiden University
The Hague
Über mich
✨ SCOPE ✨
I would happily support you with
• the development of pilots and the transition to a live product.
• the identification and shaping of data science use cases.
• ad hoc analyses of relevant business questions.
• presenting findings to non-technical stakeholders in an understandable manner.
✨ EXPERIENCE ✨
I have 4+ years of experience as a data science consultant across a range of industries:
• Telecoms
• Banking
• Gaming
• Transportation
• Legal
• Insurance
Between 2020 and 2023, I was a data science consultant at an IT consulting company (Positive Thinking Company). I've been working as a freelancer since 2023.
Weitere Kenntnisse
- Tools: Scikit-learn, Pandas, Jupyter, Matplotlib, NumPy, Statsmodels, Huggingface, Seaborn, PyTorch, Beautifulsoup, Selenium, NetworkX
- Concepts: Tree-based models, support vector machines, regression, dimensionality reduction, clustering, transformers, neural networks, time series, network science
NLP
- Python (NLTK, spaCy, gensim, flairNLP, fastText), large language models, OpenAI, LlamaIndex, RAG, Rasa, Rasa X, Azure Speech Studio, Azure Luis
DEVOPS & MLOPS
- Python, R, SQL, PyTest, Git, Gitlab, MLflow, CI/CD, Poetry, Docker, Azure, REST API
LOW-CODE/NO-CODE
- Microsoft Power Automate, Microsoft Power Apps, AWS Intelligent Document Processing
Persönliche Daten
- Deutsch (Muttersprache)
- Englisch (Fließend)
- Europäische Union
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