dyerrington
David Yerrington
Barcelona, Spain

With over two decades of experience as a tech innovator and data science leader, I transform complex business challenges into actionable, data-driven solutions. My journey began in software engineering and evolved into data science, driven by a relentless curiosity for emerging technologies and a passion for solving ambiguous problems. 𝐀𝐬 𝐚 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐧𝐭 𝐚𝐧𝐝 𝐬𝐦𝐚𝐥𝐥 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐨𝐰𝐧𝐞𝐫, 𝐈 𝐬𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐞 𝐢𝐧: • Translating vague business requirements into measurable outcomes • Developing cutting-edge AI and machine learning solutions, including LLMs and RAG systems • Creating big data pipelines and advanced natural language processing models • Establishing data science standards that seamlessly integrate with product innovations 𝐌𝐲 𝐞𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞 𝐬𝐩𝐚𝐧𝐬 𝐟𝐫𝐨𝐦 𝐬𝐭𝐚𝐫𝐭𝐮𝐩𝐬 𝐭𝐨 𝐅𝐨𝐫𝐭𝐮𝐧𝐞 𝟓𝟎𝟎 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬, 𝐰𝐡𝐞𝐫𝐞 𝐈'𝐯𝐞: • Led teams to pioneer data-driven strategies, significantly reducing churn and enhancing user experiences • Spearheaded projects for world-leading game companies, optimizing player engagement and retention • Authored a comprehensive guide on data warehouse management, recognized as a pivotal industry resource • Developed and managed curriculum for premier data science bootcamps, shaping the next generation of data scientists 𝐑𝐞𝐜𝐞𝐧𝐭 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐢𝐧𝐜𝐥𝐮𝐝𝐞: • Implementing chat agent strategies using RAG for competitive advantage in the astrology sector • Expanding custom NER algorithms for real estate finance, deployed on Azure • Developing comprehensive models for coastal emergency response logistics • Product strategy for sentiment and narrative-based service platform My approach combines technical acumen with strategic thinking, ensuring data science initiatives align with broader business goals. I'm passionate about building long-term partnerships and unlocking the full potential of data to drive innovation and growth. 𝐀𝐬 𝐚𝐧 𝐞𝐱𝐞𝐜𝐮𝐭𝐢𝐯𝐞 𝐜𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐧𝐭, 𝐈 𝐨𝐟𝐟𝐞𝐫: • Strategic guidance on AI and data science integration • Leadership in developing and implementing data-driven solutions • Expertise in translating technical concepts for C-suite decision-making I remain committed to pushing the boundaries of what's possible with data, always aiming to create solutions that not only meet but exceed expectations. Open to new collaborations and executive opportunities, I'm excited to leverage my expertise to drive transformative change and make a meaningful impact in the ever-evolving world of technology and data science.

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Jupyter Notebook
Jupyter Notebook
Developer
Spain
Top 5
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Developer
Spain
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List your work history, including any contracts or internships
BluWhale, Inc.
Apr 2019 - Nov 2019 (7 months)
San Francisco
Sr Data Scientist / Founder (CDO)
Guided team practice for analysis for projects focused on revenue classification, engagement/progression, and churn for mobile game publishers. Helped shape and implement data lake and warehouse projects on Google Cloud Platform. Built and maintained toolsets for automating sklearn pipelines for testing, production deployment, and monitoring of the Bluwhale platform. A key contributor of platform product team defining use-cases for product features related to ML and monitoring the health of live classification and regression models.

Highlights
- Produced an insight that uncovered server errors related to client's first-day users leading to our first recurring client and an improvement of 5% reduction of churn their 10M+ DAU game.

Environment:
- Python ML stack (numpy, Pandas, Matplotlib, sklearn, Keras, Tensorflow)
- Google Cloud Platform (BigQuery, GKE, Dataproc)
google cloud Python kubernetes jupyter notebook postgresql google bigquery ci/cd data analysis data science data visualization database design data analytics figma MUI ReactJS Django docker docker compose scala spark dask airflow
Yerrington Consulting LLC
Jan 2019 - Mar 2025 (6 years 2 months)
Remote
Data Science Consultant
Versatile data scientist, software engineer, and consultant leading a team for client projects. Expert in machine learning, LLMs, RAG, NLP, recommender systems, and full-stack development. Specializes in deploying containerized apps on AWS/GCP/Azure.

𝐍𝐨𝐭𝐚𝐛𝐥𝐞 𝐀𝐜𝐡𝐢𝐞𝐯𝐞𝐦𝐞𝐧𝐭𝐬:
- Data visualization speaker, ODSC West
- 3rd Place, AT&T Data For Diplomas competition
- Developed recommender system increasing daily session length by 15% for dating app
- Built churn model reducing first-day user churn by 3% for Tencent mobile game
- ETL of 6 million artists for analytics at Sony

𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
- 𝐆𝐞𝐨𝐥𝐨𝐠𝐢𝐬𝐭 𝐂𝐥𝐢𝐞𝐧𝐭: Defined scope for weather data collection and analytics
- 𝐂𝐡𝐚𝐫𝐭𝐢𝐨: Lead editor for "The Informed Company," managing writing standards and design
- 𝐕𝐚𝐧𝐜𝐨𝐮𝐯𝐞𝐫 𝐌𝐋 𝐂𝐨𝐧𝐬𝐮𝐥𝐭𝐚𝐧𝐜𝐲: Developed drift monitoring architecture using MLFlow
- 𝐑𝐞𝐚𝐥 𝐄𝐬𝐭𝐚𝐭𝐞 𝐅𝐢𝐧𝐚𝐧𝐜𝐞: Expanded NER algorithms, integrated web app, deployed on Azure
- 𝐀𝐬𝐭𝐫𝐨𝐥𝐨𝐠𝐲.𝐜𝐨𝐦 𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐨𝐫: Developed chat agent using RAG, coordinated full-stack app in Docker
- 𝐌𝐚𝐬𝐬𝐃𝐄𝐏: Long-term project for coastal emergency response involving product specs, modeling, and logistics management. Built a comprehensive model and data system for enhanced decision-making

Passionate about leveraging data science and AI to drive innovation and solve complex business challenges. Experienced in leading cross-functional teams and delivering high-impact solutions across various industries. Committed to continuous learning and staying at the forefront of emerging technologies in machine learning and artificial intelligence.
Langchain python LLM postgresql aws kubernetes docker docker compose redis nginx ubuntu unit testing data analysis data analytics data science data visualization database design pandas machine learning scikit learn matplotlib numpy tensorflow sklearn scipy deep learning nlp tdd jupyter notebook pytorch keras computer vision azure devops mageai google app engine google bigquery google analytics google cloud spacy ReactJS electronjs figma Adwords crm
General Assembly
Apr 2016 - Jun 2019 (3 years 2 months)
San Francisco, United States
Global Lead Data Science Instructor
A key contributor to content taught within global organization related to data science pilot programs and curriculum including machine learning, statistics, math, engineering, and their applications. Working with stakeholders to help develop the internal and student-facing lectures, labs, and project material based on learning objectives and market research with job placement outcomes in mind. My role is split between research and development, development of content, in-class instructor support, lecturing on data science topics, and consulting for scope and methodology of final student projects.

Planning and delivering lectures to the North American market covering ten major metropolitan regions, in a hybrid in-class and online format. Supporting daily team operations.

- Pioneering instructor supporting global GA community
- Curriculum and lecture development
- Key curriculum subject matter expert
- Lectures on applied machine learning, statistics, and engineering topics
- Scientific Python stack + big data tools including spark
- Advocating and developing internal best practices of instruction
python machine learning data analysis pandas numpy matplotlib jupyter notebook scikit learn keras tensorflow scipy pytorch data visualization data analytics deep learning opencv nlp data science sklearn computer vision

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