Business Intelligence
Interactive Analytics Dashboards
A selection of Tableau dashboards that translates operational and research data into clear, decision-ready views for stakeholders.
Philadelphia, Pennsylvania
Dylan Flynn
AI & Analytics Specialist
I build data pipelines, analytical tools, and applied AI systems that turn complex information into clearer decisions.
LinkedInWORKING ACROSS
- Analytics Engineering
- AI Evaluation
- Research Automation
- Decision Support
Work that moves between technical implementation, structured analysis, and clear communication.
SELECTED WORK
From research questions to applied analytical systems.
A focused selection spanning business intelligence, language tooling and formal reasoning, research automation, applied AI research, analytics engineering, and practical data products.
Language Engineering / Formal Reasoning
ASPf-next
A clean-room modernization of ASP{f} for modern Clingo, rebuilding historical partial-function semantics through a typed compatibility frontend, reference lowering, and executable conformance tests.
Bibliometric Research
Research Automation
Python workflows that collect publication metadata, assess SDG alignment, verify journal availability, and prepare structured evidence for research review.
Applied AI Research
Algorithmic Trading Research
A sanitized research demonstration combining Python and Answer Set Programming to compare model signals, test rule-based strategies, and produce inspectable portfolio decisions.
View repository Research demonstration; not investment advice.
Analytics Engineering
Wellness Metrics Dashboard
A local-first analytics pipeline that combines MyFitnessPal and Apple Health exports into a daily health dataset for Power BI analysis.
Data Product / CLI
Caffeine Scout
A location-aware Python CLI that compares public energy-drink offers by price per can, tracks price history, and scores deals consistently.
Research & Publications / 03
Reasoning, systems, and societal impact.
Peer-reviewed and conference work spanning multi-agent supply chains, declarative reasoning, and the societal relevance of business research.
Research themes include intelligent agents, formal reasoning, sustainability analytics, and useful ways to communicate technical evidence.
2026
Revolutionizing Societal Impact in Business School Research: Can the FT50 Lead the Change?
Society and Business Review, Volume 21, Issue 2
2024
A Simulation for Supply Chains Contract Execution
Procs of the 17th International Conference on Logic Programming and Non-monotonic Reasoning (LPNMR 2024)
2024
Simulating Supply-Chain Contract Execution: A Multi-Agent Approach (Extended Abstract)
Procs of the 40th International Conference on Logic Programming (ICLP24)
2023
Formalizing and Reasoning about Supply Chain Contracts between Agents
25th International Symposium on Practical Aspects of Declarative Languages (PADL 2023), volume 13880
Selected Experience / 04
Research depth, practical delivery.
Selected roles across AI evaluation, university research, analytics, and commercial finance.
PwC
Consulting Associate, Enterprise Risk and Controls Solutions (Internal Audit, Non-FS/HI)
- Joined PwC Advisory as a Consulting Associate aligned to Enterprise Risk and Controls Solutions, supporting Internal Audit work outside Financial Services and Health Industries.
Independent
AI Evaluation & Quantitative Research Consultant
- Evaluate AI-model outputs, reasoning processes, and task performance through structured technical review.
- Develop quantitative research and analytical workflows for confidential decision-making and market-analysis engagements.
- Produce scoring criteria, evaluation frameworks, and ground-truth solutions for complex technical tasks.
Saint Joseph’s University · AI at Haub School of Business
Graduate Assistant
- Developed Tableau dashboards and reporting workflows with SQL, Python, and Excel to support executive decision-making in the Dean’s Office.
- Designed and analyzed AI-adoption surveys across faculty, students, and employers, translating findings into recommendations for academic leadership.
- Contributed to research on AI in sustainability reporting and responsible business education.
Saint Joseph’s University · United Nations SDG Dashboard Team
Data Analyst
- Built cloud-enabled data pipelines with Google APIs to automate ingestion and update centralized reporting datasets, reducing manual extraction time by 95%.
- Integrated research metadata from OpenAlex, Elsevier, and Dimensions to classify outputs against UN Sustainable Development Goals.
- Supported institutional sustainability reporting, benchmarking, and dashboard development.
Saint Joseph’s University
Undergraduate Researcher
- Designed reasoning-based AI models with Answer Set Programming for decision-making and optimization problems.
- Built predictive models with Python, scikit-learn, and TensorFlow.
- Collaborated on research involving Intel, the Federal Highway Administration, and peer universities.
Johnson & Johnson Innovative Medicine
Commercial Finance Analyst Intern
- Analyzed demand and forecasting data with Excel, SAP, and financial reporting tools, improving estimated demand by $16MM across multiple pharmaceutical franchises.
- Supported the transition from SAP Lynx to SAP Analysis for Office, streamlining financial reporting and the close process.
Outlier
AI Physics Evaluation Specialist
- Trained AI models to solve problems in fluids, thermal physics, and electricity and magnetism.
- Assessed model outputs for accuracy and consistency in evaluating physical phenomena.
Elemental Cognition
Intern
- Tested a reasoning model with a focus on logic-based problem solving.
- Identified opportunities to improve reliability in real-world applications.
About / 05
Working where analysis becomes action.
Dylan Flynn is an AI and analytics specialist with a foundation in machine learning, physics, business intelligence, and data science. His work spans forecasting and commercial analytics at Johnson & Johnson Innovative Medicine; AI and optimization research involving Intel, the Federal Highway Administration, and university partners; and structured evaluation of language models and autonomous agents. At Saint Joseph’s University, he developed executive-facing dashboards, studied AI adoption, and contributed to research on intelligent systems, supply-chain contracts, and sustainability analytics. Across these settings, he has built predictive models, automated research workflows, and reporting tools designed to make complex information more useful. He is especially interested in decision-support systems that combine rigorous analysis with clear, practical delivery.
Start a conversationEducation / 06
Saint Joseph’s University
Master of Science — Business Intelligence & Analytics
May 2026
GPA 3.88
Bachelor of Science in Business Administration — Machine Learning & Artificial Intelligence
May 2025
GPA 3.79 · Magna Cum Laude with Honors
Outstanding Graduate in Machine Learning & AI
Departmental Honors for Algorithmic Trading with Declarative Programming Methods
Bachelor of Science — Physics
May 2025
Capabilities / 07
Selected skills
Analytics & Visualization
Tableau · Power BI · Alteryx · Microsoft Excel · Forecasting · Dashboards
Programming & Data
Python · SQL · Pandas · NumPy · Selenium · Requests · Web scraping
Artificial Intelligence
Machine learning · Model evaluation · Intelligent agents · scikit-learn · TensorFlow · Keras
Research & Optimization
Answer Set Programming · Prolog · Multi-agent systems · Predictive modeling · Supply-chain optimization · Statistical analysis