<Data Processing>
Expertise collecting, integrating and processing data to support data analysis and reporting.
- Leverage various cloud integration tools as well as custom-built ETL scripts using Amazon Web Services (AWS) Lambda, Python, Java to bring in both unstructured and structured data to data lake and data warehouse.
- Data Storage: AWS (S3, Redshift, RDS), Oracle DB, Hadoop and more
- Marketing Data Sources: Marketo, Salesforce, Google Analytics, Adobe Analytics, Allocadia and more
<Data Science>
Experience with a variety of Data Science disciplines in informational retrieval, database management, machine learning, and data mining. Including, practice in applied machine learning, constructing algorithms that can learn from and make predictions based on data, as well as data mining techniques to find interesting pieces of information or knowledge in large amounts of data.
- Development of supervised and unsupervised machine learning algorithms leveraging Python
- Develop Java-based Hadoop MapReduce programs to process large amounts of data
- Visualize data using Matplotlib, Excel and Tableau Reports and Dashboards
<Data Management>
Experience assessing marketing data quality and providing recommendations for operational data flow improvement.
- Marketing Database Quality Assessments
- Marketing Technology Stack Assessments
- Strategic and T
actical Marketing Operations Review