Jared Nakamura Email & Phone Number

Denver, Colorado, United States

Constructed, reviewed, and submitted Commercial Large Group rate filings to the DOIPriced benefit designs using actuarially sound methodology and multiple relevant data sourcesPerformed quantitative testing to ensure compliance with Mental Health ParityReleased rating trend monthly to underwriters while accounting for risk and changing assumptions

Monitored commercial risk adjustment status, built from the ground up a model that predicted risk adjustment and RADV transfer payments, and implemented predictive models for chase opportunitiesDeveloped and maintained a pharmacy trend model for Commercial and Medicare populationsPerformed ad hoc analytics requests and summarizeed results for direct presentation to the CFODesigned robust Excel macros and SQL queries for long-term use in monitoring membership, premiums, and… Show more Monitored commercial risk adjustment status, built from the ground up a model that predicted risk adjustment and RADV transfer payments, and implemented predictive models for chase opportunitiesDeveloped and maintained a pharmacy trend model for Commercial and Medicare populationsPerformed ad hoc analytics requests and summarizeed results for direct presentation to the CFODesigned robust Excel macros and SQL queries for long-term use in monitoring membership, premiums, and claimsDeveloped rate projections, reconciled premiums and enrollment with the accounting department, and evaluated group profitabilityPROBLEM: Improve the medical condition coding efficiency to ensure accurate risk adjustment transfer payment projections and improve payments received.SOLUTION: Implement an automated decision tree algorithm to assist coders with all of the 100+ HCCs, by using information theory to find correlations between diagnoses, prescriptions, lab results, and demographic data and the target HCC.RESULT: Transfer payment improved by over one million dollars, greater than that achieved by the external vendor's chase list. Show less

Optimized, organized, and engineered Medicare data storage methodsFulfilled time-sensitive data requests from the research departmentDesigned new SAS algorithms for data querying and quantified improvementsPROBLEM: Create a person-level merging application that works even when certain data elements do not match perfectly.SOLUTION: Used information theory as well as approximate string matching functions to determine the relative importance of matching each data element (e.g… Show more Optimized, organized, and engineered Medicare data storage methodsFulfilled time-sensitive data requests from the research departmentDesigned new SAS algorithms for data querying and quantified improvementsPROBLEM: Create a person-level merging application that works even when certain data elements do not match perfectly.SOLUTION: Used information theory as well as approximate string matching functions to determine the relative importance of matching each data element (e.g. last name, birth date, etc.), assigning a weight to perfect or partial matches upon each data element.RESULT: Application allowed for merging upon custom data elements and allowed for recalibration when necessary. Application was able to merge virtually any person-level data to the entire Medicare member database with any desired level of confidence dependent upon the research need. Show less

As part of a project with contributions from the Bill and Melinda Gates, wrote and reviewed practice SAT math questions that can be accessed online freely to assist disadvantaged high school students.

Counseled students to improve their understanding of classical physics and electromagnetism, both in one-on-one and group sessions.

Bachelor Of Science - Bs, Computational And Applied Mathematics, 3.70

Activities and Societies: Film Board

Bachelor Of Science (B.S.), Computational And Applied Mathematics, 3.7

Activities and Societies: FilmBoard Presentation titled "On the Partition of Integers with Distinct Greatest Common Divisors"