Mathew Divine
Expert Data Scientist & AI Strategist
Erfahrungen
Data Science Expert and AI Strategist
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Guided CRM data normalization and cleaning project, with multiple steps visualized as a data score card flow using a Sankey Diagram, aiding in customer understanding and buy-in to iteratively develop pipeline further increasing revenue for client
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Co-Developed, implemented and validated an genAI first web crawling strategy, outlining data quality gaps, ensuring high-quality results
Skills: Entrepreneurship, Requirements Gathering, AI Strategy Consulting
Technologies: AWS, Python, Snowflake, HuggingFace, LLMs
Head of Digital Lab (CD&O)
Boehringer-Ingelheim
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Coached a team of 8 Digital-Experts and -Designers, developing a digital transformation execution strategy, reducing the time to market by several weeks, increasing revenue
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Aligned execution strategy across departments with workshops, ensuring business unit relevancy and cross-departmental alignment and acceptance
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Developed and executed a strategy using ChatGPT for document generation, translation, and redaction, based on business outcomes and ROI, Leading to the onboarding of a new vendor, replacing manual processes and saving significant time
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Product Owner for analytics landing page, using recommendation engine and LLMs for enhanced search and personalisation, increasing access to dashboards and relevancy of dashboards to business operations
Skills: Team Leadership, Strategic Planning, Agile Methodologies
Technologies: Generative AI, Llama Index, Azure, AWS, Atlassian
Interim Head of Data Science
BI X GmbH
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Responsible for coaching and development of self-organized team of 9 data scientists, ensuring quality of data science output across multiple initiatives
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Coaching Product Owners with BI X leadership Team Members during weekly calls to proactively identified and removed blockers to product development
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Responsible for staffing new initiatives and internal hiring, while maintaining strict adherence to budget and short time-lines
Skills: Strategic Coordination, Team Management, Leadership
Technologies: JIRA, AWS, Atlassian, Git, Python, Machine Learning
(Senior) Data Scientist
BI X GmbH
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Developed a clinical data catalogue integrating historic clinical trials, identifying new biomarkers using NLP and Ontologies
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Created ETL processes and search algorithms for a drug discovery app, enhancing collaboration and data quality for new drug compounds
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Created PoC and initiated innovation project based upon generation of novel molecules using SMILES and genAI for interactive compound lead optimization web app
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Lead developer on NGS validation pipeline in AWS for comparing short-read sequencing to long-read assembly methods, resulting in 16 genetic leads for specific disease profiles
Skills: Collaborative Problem Solving, SCRUM Leadership, UX Research
Technologies: Python, Docker, SQL, SpaCy, TensorFlow, git, CI/CD
Research Scientist, Radiogenomics
Eberhard Karls University Tübingen
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Aggregated and analyzed high-dimensional datasets including ngs, medical imaging, and gene annotations in clinical trials, allowing physicians to make better treatment decisions
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Advised students and taught python for Biologists course at the Max Planck
Skills: Interdisciplinary Collaboration, Data Engineering
Technologies: Python, DICOM, TensorFlow, Seaborn, Docker, SQL, NoSQL
Research Fellow, Oncology (WSIC)
Eberhard Karls University Tübingen
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Developed Machine Learning pipelines, integrating PET and MRI data to segment tumor microenvironments and validation strategies with histology
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Co-Authored a Nature Biomedical Engineering Publication demonstrating the translation potential of the aforementioned prognostic biomarker model
Skills: Analytical Thinking, Problem-Solving, Project Management
Technologies: MATLAB, PET, MRI