- Developed automated Machine Learning pipelines designed to understand and enhance patient and prescriber experience, using medical and prescription claim data.- Built developer email notifications system using Amazon Simple Email Service (SES), enabling sending of Step Function execution data in real time, increasing visibility into and ownership of pipeline health.- Designed and created robust flat file processing application with AWS Lambda, enabling the automatic handling and unpacking of over 650k ZIP, Excel, CSV, and TXT files, including automatic loads into Redshift.- Interviewed, onboarded, and trained new Data Scientists and Data Engineers while ensuring increasing quality of new developer training experience.

- Lead development of Canada Data Platform by integrating over 30 distinct data sources into AWS S3 and Amazon Redshift while eliminating manual file download and sharing processes through automation.- Enhanced data protection across regions through application of Amazon Macie object tagging- Managed transfer of business-critical KPI calculations in commercial reporting from outside vendor to internal processes.- Developed integrations between AWS services and Microsoft SharePoint for streamlined sharing of cloud-based resources.- Created automated file processing automations in a multi-cloud environment, including data channels between Google Cloud Platform and Amazon Web Services environments using Google Workflows, Google CloudRun, AWS Step Functions, and AWS Lambda.

Courses taught:- ADS 502 - Applied Data Mining - ADS 505 - Applied Data Science for Business- ADS 507 – Practical Data Engineering- DAV X802 - Data Analytics & Visualization Capstone- PDE X802 – Practical Data Engineering Capstone

- Maintained custom lead platform that was responsible for generating over $200 million in revenue in 2021 by serving automated, personalized recommendations to sales personnel based on rich, customer-specific data insights.- Designed and managed automated data pipelines using AWS SAM to mine data from live, changing web sources in order to provideunique data pools used to learn more about active customers and leads, auditing data through cloud-based monitoring tools to ensure dataquality.- Refined marketing attribution model created to more accurately assign ROI based on dollars spent on unique social and email marketingcampaigns by tracking customer interaction with first-party web data.- Served as administrator for Amazon Redshift database responsible for serving 200+ users, ensuring a single source of truth for sales andcustomer records through efficient MDM.- Constructed business intelligence queries for strategic sales and marketing initiatives.

- Developed customer segmentation models with cluster analysis in Python to improve performance of cross-sell campaigns for existing customers- Engineered a machine learning approach to predicting Salesforce Marketing Cloud email list unsubscribes from subscriber interactions. - Created T-SQL queries to pull and prepare data for analysis from Microsoft SQL Server. - Managed Agile/Scrum data science projects in Azure DevOps.- Engineered SSIS and Python data pipelines to create ETL packages for new data sources in an Enterprise Data Warehouse environment using Data Vault methodology.

Managed and tracked enrollment activity while applying my data science knowledge to interpret performance metrics present in the Oracle CRM.

Conducted digital and traditional marketing for a nonprofit organization, notably growing social media following by 11% and increasing engagement by 81% in first six months.