Sam Cleveland

Experience

• 

  Nationwide Insurance

  Jun 2014 - Mar 2021

  • Provided expertise in utilizing output from catastrophe model and forecasting future catastrophe risk.• Created statistical analysis to forecast and estimate catastrophe losses.• Created Excel file to query database to facilitate catastrophe modeling in pricing analysis for all lines of business.• Managed workload and mentored development of two actuarial analysts and led the actuarial internship program.• Analyzed linear regression model to calculate trends in inflation.• Finalist in Analytics Hackathon 2020. Identified substantial error in machine learning model’s scoring code that went undetected for more than a year.• Communicated statistical findings directly with senior leadership.• Presented findings, shared insights, and made recommendations impacting profitability, growth, and business decisions.• Improved and automated data mining processes to facilitate quicker analysis of data and increased efficiency by 300%.• Built Python script to scrape PDFs to assess current price structure against industry to increase market competitiveness.• Evaluated performance of generalized linear models and worked with business partners to improve model quality.• Spearheaded exploratory analysis to drive business decisions in high impact areas.• Developed algorithm and built customer facing tool to analyze policy characteristics and determine appropriate price.• Analyzed metadata and identified outliers/anomalies in domain data to improve statistical analysis and business recommendations. Show less • Promoted to Senior Actuarial Analyst from Actuarial Analyst position.• Subject Matter Expert of analytical domain.• Developed algorithm and customer-facing reporting tool to analyze policy characteristics to estimate cost to customers.• Collaborated with senior leadership and consulted on data needs to define project requirements.• Created Monte Carlo simulation to estimate and communicate long-term risks.• Created data visualizations to communicate data findings.• Worked with business partners to improve data quality. Show less

  • Associate Actuary

    Dec 2016 - Mar 2021

  • Senior Actuarial Analyst

    Oct 2015 - Dec 2016

  • Actuarial Analyst

    Jun 2014 - Oct 2015
• 

  Signifyd

  Jun 2022 - Sept 2022

  Data Science Intern

  • Developed predictive model to predict final cost associated with fraudulent transactions. Created dynamic time series data visualizations to compare cost of fraudulent transactions over time to support model results for stakeholders.• Consulted stakeholders about existing unreliable model, independently identified cause of issues with existing model and selected the appropriate modeling methods to address those issues through a new model.• Validated statistical model, conducted change analysis to compare existing and new model, and created documentation on the new model’s development. Communicated project findings to stakeholders at various levels of technical experience.• Analyzed Shapley values using SQL and Looker to reduce frequency of false positives and improve feature engineering. Show less

• 

  Kin Insurance

  May 2023 - now

  Data Scientist