Isaac Wright

About Isaac Wright

I’m a data scientist with 5 years of experience developing and deploying machine learning models to drive data-informed business decisions. My expertise spans across predictive modeling, time series forecasting, and advanced analytics using techniques such as Random Forest, Prophet, and gradient boosting algorithms.I’m passionate about turning complex data into actionable insights that optimize performance, uncover opportunities, and deliver measurable impact. Over the years, I’ve partnered with cross-functional teams to translate business challenges into scalable analytical solutions that support growth and innovation.Always eager to learn, I stay on top of emerging trends in AI and data science to continuously improve model performance and deliver real-world value.

Experience

1. Data Scientist

   Liberty Mutual Insurance

   Jul 2022 — Present

   Collaborate with actuarial teams to develop and enhance reserving models using advanced statistical and machine learning techniques.• Analyze and interpret large datasets to identify patterns, trends, and insights that inform the reserving process.• Build predictive models to estimate and forecast claims and loss reserves, incorporating various factors such as policy information, historical data, and external variables.• Apply data science methodologies to optimize reserving processes, including data preprocessing, feature engineering, model selection, and validation.• Conduct thorough research and stay updated on emerging trends, technologies, and best practices in data science and actuarial science fields.• Present findings and recommendations to stakeholders, including actuaries, underwriters, and senior management, in a clear and concise manner.• Collaborate with cross-functional teams to integrate data science solutions into actuarial software and systems, ensuring seamless implementation and usability.• Contribute to the development of data infrastructure and automation tools to streamline data collection, processing, and analysis for reserving purposes.• Work closely with IT teams to ensure data integrity, data security, and compliance with regulatory requirements.• Assist in the development and maintenance of actuarial dashboards and reports for monitoring reserving results and communicating insights to stakeholders.

Education

• Penn State University

  Master of Science - MS, Statistics

  2017 — 2019

• Savannah State University

  Bachelor of Science (BS), Mathematics

  2012 — 2017

• Penn State University

  Doctor of Philosophy - PhD, Statistics

  2017 — 2022

Skills

• Critical Thinking
• Customer Service
• Research
• Teamwork
• C++
• Mathematics
• Statistics
• Social Networking
• Powerpoint
• Tutoring
• R
• Data Analysis
• Public Speaking
• Community Outreach