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Education: MSE Degree, Applied Mathematics and Statistics. BS Degree, Actuarial Science. BS Degree, Computer Science.
Description: Expertise in UL products. Created and updated MoSes asset/liability models to do pricing and quarterly financial reporting for UL products including the explanation of quarterly variances. Maintained product assumptions. Prepared actuarial documents including pricing assumption product specifications, competition reports, state filling, and pricing presentations for senior management approval. Created and modified macros for process improvement. Created a substandard policy pricing algorithm. Converted an interest-sensitive whole life product from TAS to MoSes and developed an Excel validation tool. Experienced with pricing conversion products. PBR experience such as with a current assumption UL product. Created a pricing model of a whole life rider attached to a 20-year term product. Reconciled MoSes models and Excel pricing workbooks for model validation. Used Excel to develop and analyze mortality graphs to assist with assumption setting. Assisted with pricing indexed UL products. Expertise in utilizing MoSes to model indexed-annuity products. Collected S&P 500 data to maintain credited rates for indexed annuity and indexed universal life products. Experience as Research Assistant. Collected time series data of several stock prices in two sectors (IT and Banking Industries) to do time series data analysis and created a prediction model to estimate the volatility of stock prices. Drew E-R diagram to design life insurance database and then used table representation to enter sample observations. Used SQL to build this database including information such as policyholder, insured, beneficiary, policy, agent, account, and password. Applied SQL security (i.e. password, grant) and some advanced SQL topics (i.e. trigger). Computer skills include MoSes, VBA, C++, SQL, SAS, and R.
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