NAME

• Segmented customers using k-means clustering algorithm to identify different target groups for advertising
• Supported billing migration effort by identifying key customer groups using clustering and classification machine learning models
• Developed and implemented a classification model to accurately predict customer churn
• Designed and built dashboards in Tableau and Power BI to present data quality errors to executive leadership
• Designed, built, and deployed data pipelines using Python, SQL, and AWS services

Leadership Roles

• Led a cross-functional team of 5 engineers and data analysts to identify and resolve a $43M annual revenue leak
• Facilitated DEI recruiting campaigns, mentoring high school to college students in careers in consulting
• Led a team of 12 as a project manager in an AWS cloud migration for a large consumer products company
• Organized a panel event with 1k+ attendees on Generative AI and Natural Language Processing
• Led a team of 6 to identify Generative AI use cases across Telecommunication, Technology, and Media industries, resulting in $25M in sold engagements

• Designed outlier detection model to identify unusual transactions for audit selection, reducing audit hours by 8%
• Gathered visualization requirements, retrieved transaction data, and designed and built Tableau visualizations to further audit risk assessment
• Retrieved and analyzed transaction data using Python and SQL
• Managed a team of 7 direct report staff auditors in the completion of a 15,000 hour annual audit
• Created process flow diagrams and narratives to understand complex accounting processes and identify risks of material misstatement
• Expanded utilization of India based team, increasing offshore utilization by 18% and creating a 24-hour work cycle.