• 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.• Provided Azure consulting to establish secure, scalable data processing and storage solutions.• Collaborated with developers to integrate the scoring model within the dating app, conducted extensive testing, and validated match prediction reliability.• Developed an AI golf assistant using OpenAI API for accurate, context-specific answers, significantly enhancing user interaction.• Integrated relevant links and resources, improving platform interactivity and user experience.• Implemented advanced document analysis for insights from golf-related documents, aiding user decision-making.• Generated personalized maps and itineraries for golfing experiences, leveraging AI for tailored recommendations.• Collaborated with cross-functional teams to ensure seamless AI deployment and continuous improvement.• Conducted user testing and feedback analysis, refining AI performance to meet high satisfaction standards.

• 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.• Collaborated with the digital marketing team to implement data strategies, establish efficient data flows, and develop robust data models.• Enhanced query performance and resolved database issues by applying parameterization techniques and debugging skills in SQL.• Integrated client subscription data and generated comprehensive visualizations using Python and Tableau, improving data interpretation and decision-making.

• 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• Collaborated with the Operations and Engineering departments on the development of new automated data management and reporting• Maintained and utilized internal data stores using PostgreSQL and MySQL• Utilized AWS and Python to query, clean, transform, and send weekly data reports to clients• Participated in regular meetings with executives; provided updates on project progress• Reported actionable, statistical, and analytical insights to executives for effective strategic positioning in location data space• Shadowed data scientists and assisted in development of algorithms for predictive modeling• Confirmed hypothesis that data supports an upward trend of apps turning off data collection overnight• Created and leveraged web scraping tools to create reports and draw insights to meet business needs• Identified, measured, and recommended improvement strategies for KPIs across all business areas• Automated reporting processes resulting in an 93% decrease in time needed to infer insights from API data used to make hiring decisions• Created ad-hoc automation tools resulting in a significant increase in data accuracy through the removal of human error• Utilized machine learning algorithms to create data products determining venue visitation and the home and work locations of users

• 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• Processed data load requests, manually entered data, reconciled data conflicts, and created data extracts and reports• Quantified and forecasted operational returns related to risk adjustment• Completed routine database backups to safeguard and secure data• Analyzed data, produced reports, and relayed findings to clients and internal stakeholders• Maintained proper inventory levels in all stores to support profitable sales• Analyzed sales and stock levels to ensure that reorder recommendations provided by automated replenishment system reflected the sales trend, presentation in-stock standards, and turnover goals• Minimized seasonal markdowns with strategic product flow

• 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• Increased financial payout accuracy by utilizing formulas and automation to improve data integrity

• 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

• 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.