Digital Technology Analyst

NTT Data Services

1. ● Led a cross-functional team in developing process improvement solutions, realizing over $60M in revenue loss for a ticket enforcement process and achieving an 80% cycle time improvement for a Hardware Request process.
2. ● Executed advanced ETL operations using PySpark to transform raw data into structured process activity data, and efficiently developed data pipelines for storage in Amazon S3.
3. ● Leveraged AWS Athena for advanced SQL queries, identifying process bottlenecks based on multiple dimensions.
4. ● Facilitated process workshops with client SMEs to understand business processes and system architectures, define ETL requirements, and analyze workflows to dfinusiness requirements.
5. ● Revised data pipelines continuously, increasing data accuracy and reducing data storage costs by 50%.
6. ● Engaged in Agile ceremonies, managed sprints and user stories in Jira, oversaw product backlog management.
7. ● Mentored junior business analysts in SQL and Python, process analysis, and writing user stories.

Data Scientist Intern

University of Alabama at Birmingham

1. ● Contributed significantly to kinesiology lab trial setup by configuring equipment and developing Python scripts to automate data collection and integration, increasing efficiency by 30% and enhancing accuracy.
2. ● Migrated data from on-prem SQL server to Amazon Relational Database Service (RDS) to store and analyze clinical trial data, improving data integrity and performance.
3. ● Established robust monitoring protocols within AWS for the database, safeguarding sensitive patient information.
4. ● Leveraged Tableau to perform analysis and craft effective visualizations for presentations and research papers.

Purdue University

Industrial Management/Data Analytics