At Discern, we build predictive healthcare data products that lead to more affordable and proactive care.As V.P., I lead the design and development of our data science solutions.

At Discern Health, I lead a team of Data Scientists, Data and ML Engineers in building our company's ML and AI products that aim to improve healthcare outcomes in a wide variety of environments.As a lead, responsible for design and development of our company's internal ML platform and delivery of our solutions.

Lead Preston's and Discern Health's efforts in building out their core ML/AI product in the healthcare space.

Built PV's next generation survival analysis model. Contributed to company core code base as a developer.

At Preston Ventures I:- Develop Python packages and tooling for company’s Data Science and Analytics teams;- Create and maintain various data pipelines and services connecting various platforms and databases (AWS S3, SQL Server, Python);- Created, designed, and maintain various SQL databases;- Aggregated historical company data stored in various file formats, cleaned, and stored data in SQL Server database for analytics and reporting;- Develop and maintain web applications using Flask/Dash (Python), Shiny (R) for internal use;- and provide ad-hoc queries, Python workflows, and analytics work

- Developed Machine Learning models and pipelines in Python/SQL that automated duplicate identification of healthcare talent for fuzzy-criteria cases- Took business rules and automated the process of identifying duplicates and selecting the survivor via SQL/Python - Analyze and improve Salesforce database quality via writing SQL Server queries, Python scripts, DemandTools, and Excel- Improved efficiency of Data Migration project via automating parts of process via Python and Machine Learning- Migrated thousands of records from legacy system into Salesforce - Provide daily ad-hoc Salesforce data fixesWorked as a consultant for Insight Global.Tools I use: Microsoft SQL Server, Python, SQL, Excel, Salesforce, DemandToolsAreas of focus: Data Quality, Data Governance, Machine Learning, Automation

- Developed pre-processing workflows including cleaning, transforming, and integrating datasets for proprietary machine learning platform, primarily using R - Developed and applied methods of cleaning and translating healthcare data- ICD 9/10 diagnosis codes, NDC-ATC translation- Developed R functions to automate as much of the data pipeline as possible, with the goal of writing a R package- Created client deliverables, including Powerpoints and Markdown code documentsTools I used: SQL, R, R markdown,,tidyverse, Microsoft Excel, RazorSQL,Areas of focus: machine learning, healthcare data, Electronic Health Record (EHR) data, healthcare

Internship, where I:- Wrote a Python script that optimized a business process and sped up data management- Collected, cleaned, and analyzed e-commerce data for performance reports- Analyzed spatial transporation network data using ArcGIS & Python- Collected, cleaned, and analyzed survey data for a Park & Ride study in Excel & Python- Was responsible for monthly invoicing and budget tracking, using Excel- Compiled and summarized transportation plans and legislation

At Liquid Enviromental I:-Updated the national company database of municipal regulations concerning Grease Traps and Interceptors by 5.8% in 5 months using Microsoft Excel- Obtained data by contacting municipalities directly, and gathering information from online municipal codes and regulations

1 year internship where I:- Analyzed, cleaned and integrated historical stream and reservoir data using MS Excel. - Created ESRI ArcGIS maps for a variety of topics, mainly Ecology and Land Use.- Analyzed and cleaned spatial ecological and land use data in Esri ArcGIS (ArcMap)- Sampled streams, homes, and analyzed data for nutrient and bacteriological information. -Summarized and compiled scientific literature.

- Made coffee drinks, provided customer service, handled cash, stocked shelves, and did inventory. - As a lead, I assisted in managing a small team in running the store, placing orders, and counting cash from registers.