Nathan Calvanese Email & Phone Number

Holmusk, a 2019 World Economic Forum Technology Pioneer, is a data science and digital therapeutics company dedicated to establishing objective evidence as a core utility to the treatment of mental health and chronic diseases. Our proprietary technology leverages analytic and digital tools to prevent, manage and reverse treatable diseases.

Boston, MA

• Previously Director, Healthcare Data Analytics (Sep 2016 - Mar 2019).
• Led a 25-person Informatics and Data Development function and served as a general representative of the Data Factory to outside stakeholders.
• Oversaw 650+ new data source implementations, 2,200+ data improvement projects, and 4,500+ data support investigations, driving client satisfaction and growing the footprint of our data asset by 39m patient lives.
• Reduced implementation effort and turnaround time by 20% through process transformation and internal tooling development, including JIRA templates, a data validation visualization tool, and automated mapping scripts.
• Spearheaded the expansion of our core data model to include additional data domains such as Oncology, Blood Products, and Family History.
• Contributed data validation and code review to Hadoop re-platforming effort, transitioning ETL processes from Oracle SQL scripts to Scala classes.

• Led an 8-person Clinical Informatics function focused on excellence in client onboarding and retention and data services support work.
• Paired the development of an extensive employee orientation program with an overhaul of internal process documentation, reducing the average onboarding time for new employees by 33%.
• Leveraged Excel VBA code and the Atlassian JIRA REST API to build extensive resource allocation and time tracking models.
• Developed, implemented, and created documentation for a payer data processing model that reduced the amount of specification and ETL work needed for new payer claims sources by 70%.
• Supported a project to restore linkage between diagnoses and procedures in order to produce better HCC analytics for clients downstream.
• Developed a variable usage report to help assign criticality to client investigations.

Boston, MA

• Served as a data subject matter expert, working with raw healthcare data from various EMR, billing, and payer sources, including but not limited to Epic, Cerner, Meditech, Athena, AllScripts, MSSP, 837s, HL7s, and CCDs.
• Built specifications and transformation logic, focusing on source-to-target mapping, deduplication, inclusion criteria, and semantic normalization.
• Supported product team with data context and helped defined database architecture requirements for new product features, such as population segmentation and custom patient attributes.
• Led a patient type expansion project to help identify and separate rehab, psych, and SNF data from inpatient acute encounters, requiring the remapping of 900+ local codes across clients.
• Completed a project to modularize and automate an existing monthly mapping reconciliation process, reducing run times by as much as 75%.
• Contributed as point of contact and de facto project manager for numerous client implementations, leveraging analytic and organizational skills to ensure quality and timeliness of work throughout the data pipeline.

• Conducted in-depth market research analyses working with IMS pharmaceutical data, focusing on sales incentive compensation planning, provider targeting, and territory realignment.
• Created customized reports and dashboards to provide multi-level look at sales trends, promotional activities, and key performance indicators.
• Aided in the development of web-based reporting services, concentrating on user interface conceptualization, ETL development, and back-end data mart design.
• Optimized company-wide data processing procedures in adherence with contract SLAs, cutting execution times by up to 50%.
• Spearheaded numerous territory realignment projects, increasing market coverage by an average of 17%
• Ran linear regression analyses for provider targeting to determine which variables had the greatest impact on product adoption.

Master Of Science (Ms), Operations Research, 4.0

Relevant coursework includes: Deterministic Operations Research Models, Stochastic Operations Research Models, Mathematical Programming.

Bachelor Of Science, Civil Engineering, 3.63

Relevant Coursework Includes:Operations Research, Decision Analysis, Multivariable Calculus, Elementary Differential Equations, Applied.