Ryan Page

I am a highly analytical, data-driven leader with around 4 years of experience as a Data Scientist serving in an advisory capacity across various industries.

I am proud of my achievements during my tenure as a consultant; however, I am now looking to transition in-house.

I have mentored teams of data scientists, guiding them through algorithm enhancements and closing gaps in client comprehension of analytics solutions through active listening.

Now, I am excited to bring my technical expertise to your company and build something amazing together!

Data-Driven Leadership

  • PricewaterhouseCoopers

    SENIOR DATA SCIENTIST

    Led initiatives to combat fraud and money laundering, developing advanced analytics solutions that reduced report processing time by 30%, contributing to an estimated $600M in savings.

    Managed large-scale data processing efforts, implementing partitioning techniques to handle 4.7TB of data, computing rolling sums for attempted transactions, and cross-referencing with bank member records to isolate alerts.

    Enhanced fraud detection strategies for global financial institutions by improving algorithms in Python and SAS, fortifying both first and second-line defenses.

  • Ernst & Young

    DATA SCIENTIST

    Designed Optical Character Recognizer architecture with Azure’s Document Intelligence API and Python, enabling automated processing of transaction documents.

    Supported the development of a proprietary tax engine leveraging C#, T-SQL, and the .NET framework, ensuring compliance with free-trade agreement legislation for global clients seeking to minimize import taxes on the procurement of assets.

    Created dynamic Power BI dashboards, utilizing DAX to visualize and quantify estimated tax benefits for clients, empowering global trade strategies.

Technical Expertise

Python

Power BI

R

SQL

C#

SAS