Katherine Potter Email & Phone Number

Mclean, VA, US

• Developed and implemented an AI-driven tool for customer service agents, enhancing experiences and saving time through real-time support and recommendations powered by natural language processing and machine learning.
• Led User Acceptance Testing (UAT) and End-to-End (ETE) sessions, refining the customer service tool’s performance and usability.
• Engineered sentiment analysis models for real-time emotion detection, enabling proactive interventions.
• Created a scoring model for a dating app using decision tree algorithms, VIF, SMOTE, KBest, and logistic regression, improving match prediction accuracy.
• Integrated the model into an Azure web app for real-time scoring, ensuring seamless backend integration.
• Configured Azure Machine Learning environments for scalable model training and deployment.

Mclean, VA, US

• Optimized business processes through the implementation of artificial intelligence solutions, leading to increased efficiency and improved decision-making.
• Designed and deployed a machine learning-based recommendation engine to identify and address issues in the customer shopping experience.
• Developed a time series model to accurately detect and differentiate between bots and genuine users, enhancing data integrity.
• Led advanced analytics projects, utilizing machine learning algorithms to extract actionable insights from large datasets.
• Contributed to predictive model development, improving network performance and boosting customer satisfaction.
• Streamlined and automated reporting workflows, achieving a 20% reduction in processing time and manual input requirements.

Kansas City, KS, US

• Collected, studied, and interpreted large datasets; created reports and statistical models; performed accurate, successful data management
• Developed and utilized algorithms and visualizations based on deep-dive data analysis to aid in client acquisition efforts
• Collected, analyzed, and interpreted raw data from various APIs
• Developed and implemented new reporting procedures which increased company productivity and efficiency
• Analyzed and processed complex data sets using SQL, Python, and Excel
• Analyzed data from 85+ publishers with over 200 apps totaling nearly 175 million location data points

• Designed, tested, and deployed purchase order tracker, increasing analyst visibility by 85%
• Implemented order creation system that increased allocation speeds by 75%
• Designed, wrote, and executed macros to automate data entry input
• Collaboratively planned, allocated, moved, replenished and exited a multi-million-dollar sector of the business seasonally
• Provided allocation recommendations to maximize assortment
• Queried and manipulated data from MicroStrategy using SQL; transformed data, created advanced filters, and utilized database functions

Detroit, Michigan, US

• Analyzed sales and created weekly reports for eight districts using data analysis and visualization tools
• Identified and provided insights regarding trends in customer purchases and sales associate performance on individual and team levels
• Forecasted monthly revenue based on historical sales
• Identified an opportunity to increase reporting efficiency by 83% by utilizing Excel macros and VBA
• Interpreted and communicated sales data representing millions of dollars per year
• Analyzed field sales data to ensure that resources were properly allocated

US

• Processed digitally transmitted requests regarding customer centric online portal
• Provided corrective solutions for issues individually and in batches
• Identified patterns within web portal problems and collaborated with team to create press releases and to find solutions
• Created training materials for affiliated call centers
• Assisted in the rebranding of the company website and customer portal

US

• Utilized programming and coding skills to streamline registration process by creating mandatory fields, dropdown menus, and specialized registration types, increasing data integrity and accuracy by 100%
• Maintained master database integrity by automating the process of adding and modifying records
• Identified an opportunity to improve financial reporting by 20%
• Presented data to appropriate parties and aligned the team to implement more accurate metrics
• Maintained a professional relationship with clients to ensure the smooth processing, distribution, and collection of monthly dues that accounted for $150,000 dollars of annual revenue

• Answered inquiries by clarifying desired information
• Researched, located, and provided information
• Resolved problems by clarifying issues
• Researching and exploring answers and alternative solutions; implementing solutions
• Fulfilled requests by clarifying desired information; forwarded requests.
• Maintained company database by entering information.

Micromasters

Bachelor Of Economics, Economics

Economics