Lucas Dan Email & Phone Number

Brentford, Middlesex, GB

Raritan, New Jersey, US

• Lead analytics and data science work-stream to deploy Artificial Intelligence-driven Next Best Action solutions to optimize impact on key business metrics
• Design and implement metrics to show impact of Next Best Action solutions
• Design and implement post-deployment operating model, including cross-functional roles and responsibilities
• Present bi-weekly updates to Leadership on program updates
• Lead Business Planning to identify roadmap opportunities and request associated budget/headcount

Raritan, New Jersey, US

• Lead cross-functional work-stream to develop machine learning models that segment patients based on risk of not starting or staying on treatment
• Provide business translation between data scientists and marketing to align models and insights with strategic imperatives
• Lead multiple weekly cross-functional meetings to review progress, align on priorities, and alleviate blockers
• Oversee development of multiple models simultaneously, while managing and prioritizing new incoming demand
• Provide thought leadership on how to use advanced analytics and data science to help patients start and stay on therapy

Philadelphia, PA, US

• Lead and oversee development of all data products, accounting for 25%+ of company's total annual recurring revenue at 75% margin
• Lead development of machine learning (ML) classifiers that identify patients at high risk of experiencing patient journey barriers (e.g. gap days, therapy discontinuation, insurance coverage denial, etc.)
• Develop quarterly data science roadmaps and present to Senior Leadership each quarter
• Work closely with Product Management and Subject Matter Experts to identify opportunities for product innovation and rapidly prototype new proof-of-concept models
• Lead integration of Specialty Pharmacy Status and Dispense Data with HUB and Patient Services Data to build analytics that identify patient journey barriers and opportunities for data quality improvement
• Lead cross-functional Innovation team of data scientists, data engineers, and software engineers

Philadelphia, PA, US

• Manage a team of 5+ data scientists
• Continue formalization of new data science team by introducing quarterly data science roadmaps
• Lead development and automation efforts that resulted in a 10% increase in margins for data products
• Lead development and implementation of Refined Patient Data, a set of algorithms that uses modern technologies such as Python, Redshift, Docker, AWS Batch, and Airflow to aggregate, cleanse, master, and enrich.
• Work closely with Business Intelligence and Product Management teams to ensure that backend data pipelines are compatible with frontend BI tools, resulting in a suite of analytic solutions that helps customers improve.
• Lead design and development for all backend data pipelines for Channel and Patient Access products

Philadelphia, PA, US

• Build and supervise the company’s first data science department, including the implementation of foundational infrastructure such as bi-weekly sprints, Jira backlog grooming, GitHub source control, and code.
• Lead development of Enriched Data Offerings, a set of machine learning algorithms that uses modern technologies such as Python, Spark, MySQL, Docker, AWS Batch, and Airflow to “unblind” redacted 867 data, which.
• Work closely with Product Management to rapidly prototype new solutions prior to full-scale development
• Lead all algorithmic design and development across the company
• Present data science and ML achievements at conferences with hundreds of attendees

Philadelphia, PA, US

• Lead development of Inventory Analytics, a set of ML and optimization algorithms that use Python and MySQL totransform a combination of 867 data, 852 data, and non-projected claims data into forecasts for downstream.
• Improve margins by implementing various machine learning models that use Python, R, and MySQL to automate manual tasks and reduce cost of goods sold
• Lead various internal trainings on Python, SQL, and internal infrastructure design

Philadelphia, PA, US

• Design and develop machine learning algorithms in Python and R to facilitate supply chain decision-making
• Design and develop scalable fuzzy matching algorithms in Python to accurately match millions of records to tens of millions of options
• Develop infrastructure and platform for automated quality assurance, drastically improving quality of data products while simultaneously improving margins by reducing cost of goods sold
• Appointed to serve on the Architecture Review Board
• Work closely with Senior Leadership and customers to ensure an Agile development process

Philadelphia, PA, US

• Managed and coordinated all incoming data requests using SharePoint
• Developed algorithms to assess cost-effectiveness and clinical outcomes
• Applied data visualization techniques to effectively communicate high-level metrics to Senior Leadership
• Developed statistical models to predict treatment success using SQL, SPSS, and Excel
• Worked closely with Senior Leadership to define, investigate, and solve problems using advanced analytics

Philadelphia, PA, US

• Wrote advanced SQL code to extract relevant data from large database with multiple relational tables
• Developed statistical models using SPSS to predict treatment success
• Programmed Excel spreadsheets to automatically produce routine outputs and visualizations

Master’S Degree, Information And Data Science

Bachelor’S Degree, Mathematics, Computer Science

Diploma