top of page

Work Experience

Sept 2024 - Present

Property & Casualty Actuarial Analyst

Deloitte Consulting

Chicago, IL

Deloitte_Logo.png
  • Perform financial reviews of unpaid claims liabilities for small- to mid-sized insurance and self-insured clients across workers’ compensation, general liability, auto liability, and asbestos, supporting reserve adequacy and risk assessment

  • Analyze historical performance and future cost trends using actuarial forecasting techniques (development, Bornhuetter-Ferguson, loss ratio, frequency-severity, and incremental methods) to identify drivers of variability and risk

  • Translate complex legacy insurance system logic into the Guidewire rating platform by classifying and mapping forms, endorsements, terms, and coverage options, ensuring data accuracy and system integrity

  • Develop structured documentation and visual process maps to clarify product architecture, improve implementation efficiency, and support compliant system configuration

Jun 2023- Aug 2023

Actuarial Summer Scholar

Deloitte Consulting

New York City, New York

Deloitte_Logo.png
  • Supported updates and enhancements to actuarial reserving and forecasting models, analyzing trends and changes in loss development to inform management decisions

  • Prepared and updated quarterly and annual analytical reports across workers’ compensation, general liability, and auto liability, synthesizing results into clear summaries for leadership review

Jun 2022 - Aug 2022

Actuarial Intern

Verisk Anaytics

Jersey City, NJ

  • Conducted analytical reviews of collision deductible relativities, evaluating historical claim experience and identifying shifts in loss behavior

  • Assessed the financial impact of COVID-19 on claim frequency and severity trends, supporting pricing & profitability analysis

Verisk_Logo.jpg

Dec 2021 - Jan 2022

Actuarial Intern

Arch Insurance

Jersey City, NJ (Virtual)

1200px-Arch_Capital_Group_logo.svg.png
  • Supported medical professional liability ratemaking for blood bank accounts by querying and analyzing claim and exposure data

  • Built raw loss cost and ratio analyses to evaluate account-level performance and support underwriting and pricing decisions

Jun 2021 - Aug 2021

Actuarial Leadership Development Program (ALDP) Intern

Travelers Insurance

Hartford, CT (Virtual) 

990__1511457672_380_travelers.png
  • Analyzed oil and gas profitability by layer to measure impact of recent limit reductions

  • Constructed premium layer allocation ratios to layer by policy limit by applying benchmark premium to historical policies

  • Trended historical losses by layer with the application of policy limit

  • Developed losses by incorporating IBNR% and reinsurance impact into trended incurred losses

  • Constructed a profitable rate plan for an auto insurance data simulation during the Intern Case Competition

  • Attended ALDP Intern trainings on Excel, SAS, Actuarial Common Concepts, & Ratemaking 

May 2020 - Jun 2020

Data Analytics Virtual Consulting Intern

KPMG

Virtual

KPMG_logo.svg.png
  • Analyzed the data quality issues of Sprocket Central Pty LTD’s customer and transaction data by using Excel Pivot Tables, Filters and Functions, and the Standard Data Quality Dimensions

  • Designed PowerPoint presentation to outline approaches to boost business by analyzing customer datasets, determining customer trends and behaviors, and following the 3 phases: Data Exploration, Model Development, and Interpretation

  • Applied Tableau to demonstrate, visualize, and develop a dashboard to present trends underlying data, customer segments with the highest customer value, and a proposal to recommend the client’s marketing and growth strategy

Jul 2019 - Aug 2019

Computer Science Intern

Google

Detroit, MI

image-20150902-6700-t2axrz.jpg
  • Built a location-based web application (foodie-247618.appspot.com) to help users discover restaurants based on location, distance, and cuisine preferences

  • Integrated multiple APIs (Google Maps, Places, Directions, Geocoding, Yelp) to deliver real-time restaurant recommendations, distance, ratings, and visuals

  • Developed frontend interface to display results on an interactive map with filters, images, and key restaurant details

  • Processed and structured JSON data from APIs to enable efficient filtering, ranking, and user-friendly presentation of results

  • Applied structured problem-solving and data logic to design, test, and deploy a functional prototype supporting user-driven decision-making

bottom of page