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Paul Blase

@paulblase

Message

I build predictive analytics and automated decision systems for financial crime, risk, and market segmentation.

United States

Message

I've built predictive analytics, automated reporting, and decision systems for AML RightSource and Ally Bank, using transaction data to tune thresholds, improve yield, and support suspicious-activity detection. I also developed an AI-driven article-matching system using DOJ APIs and NLP in Python.

Previously at Sports Business Journal, I built NLP topic modeling, entity-identification algorithms, web scrapers, and geospatial market-segmentation tools. I work across SQL, Python, R, SAS, Tableau, and machine learning to turn complex datasets into actionable business insights.

Experience

Work history, roles, and key accomplishments

FCA Data Analyst

AML Rightsource

Apr 2025 - Oct 2025 (6 months)

Developed automated reporting for sanctioned entities and individuals to optimize regulatory compliance. Leveraged Python and structured JSON formatting to automate content extraction and data processing for predictive analysis.

Python JSON Pandas Openpyxl Tableau Actimize Market Segmentation Risk Assessment Predictive Analysis Automation Data Processing Excel reporting Yield Optimization

AML Data Science Specialist

Ally Bank

Dec 2020 - Mar 2025 (4 years 3 months)

Structured complex scenarios to leverage predictive analysis for identifying suspicious accounts and transactions using SAS and SQL. Optimized reporting and scenario performance through iterative tuning and market segmentation of financial transaction data.

SAS SQL Predictive Analysis Market Segmentation Reporting NLP Python DOJ APIs

Data Analyst

Sports Business Journal

Sep 2019 - Dec 2020 (1 year 3 months)

Developed and implemented an NLP topic modeling system to analyze news site articles and perform competitive analysis for market insights. Automated data collection by developing scrapers with BeautifulSoup and Requests to maintain database records and geospatial data accuracy.