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Astral Beatz Audio - astralbeatz.com• Created an exclusive audio sample platform, offering over 20 unique digital products, spanning audio samples, educational music production and engineering resources• Launched a subscription service consisting of subscription plans for 5 unique creator personas, each including monthly samples, educational resources, and community forums• Developed and sold over 50k audio samples such as percussion and vocal chop loops, one-shots, bundled products and educational content• Wrote and distributed a 57-page research paper-style audio engineering deep dive into kick drum selection, processing, and mixing with additional content on advanced sidechaining and sub bass processing• Ran marketing campaigns through Meta Business Suite and Google Ads, creating marketing content to bring leads into Astral Beatz Audio sales funnelsAstral Panda Music - astralpandamusic.com• Created over 400 songs in Logic Pro, demonstrating expertise in music writing, recording, arrangement, production, sound design, audio engineering, mixing and mastering• Conceived of, shot, produced and edited hundreds of videos shared across multiple platforms that promoted the Astral Panda brand and music, utilizing tools such as Adobe Premiere Pro, CapCut, Final Cut Pro, inVideo, ChatGPT, Dall-E, Luma Dream Machine and others, including both live action, animated and mixed content creation• Managed tour planning, social media marketing, release management, digital and physical promotion across individual and collaborative projects

• Created and implemented the user and entity behavior analytics strategy and roadmap for the US General Services Administration, incorporating anomaly detection machine learning algorithms into existing cybersecurity infrastructure within Elastic, resulting in 40+ threat investigations being triggered and positioning the product suite as a key asset for US government cybersecurity.• Built and tuned machine learning algorithms, automated ML jobs, developed 30+ visualizations, and implemented alerting, enabling senior leadership and cybersecurity analysts to detect anomalies in real-time across vast General Services Administration datasets.• Led a comprehensive reindexing project across 3 ML indices to ensure critical data attributes in Elastic were effectively captured and analyzed, enhancing the overall accuracy of threat detection. • Stood up an MVP for Amazon Managed Workflows for Apache Airflow (MWAA) in AWS, a product that enabled simplified, efficient data orchestration across a growing pipeline of data transformation and data engineering jobs as well as machine learning model development, training, evaluation and deployment jobs.

• Directed a team of 3 product and project managers and led 3 agile development teams, overseeing over 50 product stories monthly to optimize Capital One’s core auto finance data products, significantly improving internal data analysis, cloud storage, data pipeline orchestration and data lineage and accessibility tools.• Successfully launched a data lineage product, which enabled users across the organization to be informed of dataset changes, reducing operational risk and increasing trust in the data pipeline, and enabling better decision-making for leadership. Took what started as an idea from conception to launch, including the data gathering process, getting buy-in from leadership and other teams, building a team of developers, designing the product UI and determining what functionality would be a part of the initial launch vs what would be a part of subsequent iterations, working with other teams to ensure data was flowing into the product properly and working with internal customers to ensure they were informed of what we were building and working with them to continue to refine the product for their specific use cases, while maintaining ownership of a product that had implications for many teams across the organization.• Championed the Capital One Hackathon Committee, organizing 3 hackathons that fostered innovation within the data teams, earning two internal awards for leadership and team development. Several projects were subsequently funded and turned into products used by data analysts, data scientists, ML Engineers and others.• Built a roadmap for and worked with stakeholders to manage the decommissioning of legacy products in favor of new products, guiding customers to newer options while ensuring no data jobs or analyses or models were left without a home.

• Increased annualized revenue by $4.2 million by streamlining navigation and optimizing homepage features for both iOS and Android platforms.• Planned and executed feature releases with cross-functional teams, aligning engineering, QA, and marketing to deliver on tight timelines.• Led development, QA and design teams, setting priorities and roadmap, and planning and executing scrum activities and releases for iOS and Android apps accounting for over 3.5 million monthly transactions and 34% of Pizza Hut’s digital revenue.• Coordinated with internal and external stakeholders to implement new technologies such as Adobe Target for A/B Testing and Links, Adobe Analytics, Braze Content Cards and Push Notifications to improve engagement.• Increased Pizza Hut’s Top 10 Food and Dining App ranking rate by 62% for iOS and 37% for Android.

• Managed design and development of business-critical features, interfacing with UX, engineering, marketing, strategy and operations teams to maximize apps conversion, traffic and average order value, while simultaneously minimizing exit rate. • Managed concept-to-launch of the Reserve To Try On feature as part of the Brand Defining Store (BDS). Led the cross-functional team (stores technology, digital merchants, front-end and back-end engineers, UX) to build an end-to-end MVP solution enabling customers to browse and select products to be reserved for an in-store concierge experience in the new BDS Styling Rooms. Due to a successful launch, improved customer satisfaction and higher in-store conversion rates, the CEO asked for the feature to be expanded to multiple markets, and eventually a chain-wide launch.• Created, groomed and monitored over 300 JIRA stories across numerous features, ensuring acceptance criteria were accurate and understandable, clarifying requirements for engineers, gathering info from partners and seeing that stories were tested and closed on time and without bugs.• Measured effectiveness of features using Adobe Analytics for historical analysis and Apptimize for A/B testing. Led reporting for all key pre-peak features/initiatives and presented findings to the Director of Product Management.• Led the Mobile Application linking program, responsible for setting up email and SMS marketing campaigns to promote the app using Branch deep links. Owned the web to app cross-sell program designed to entice our best web customers to the app.• Managed the architecture overhaul of JCPenney’s iOS and Android apps, enabling features such as curbside pickup, which supported a seamless, omnichannel customer experience.

• Led iOS app development, Product Management, Web Design, and Strategy for the first selective social sharing mobile app from inception to prototyping to seven App Store releases. Ranked in 98th percentile for Social Networking Apps. Led marketing and sales efforts, resulting in 73% MoM increase in downloads and 99.4% crash-free sessions, and hired and managed a team of four Android engineers and UX designers.• Developed financial models and revenue forecasts to optimize pricing strategies for premium features.• Delivered business plans and presentations with data-backed recommendations to investors and stakeholders, shaping the direction of future product developments and securing additional funding.• Developed and launched a creative mobile application that seamlessly connects people, companies and organizations at a local level, taking advantage of mobile location service technology to quickly share information and enhance local interactions. • Analyzed user engagement, user growth and location by building data pipelines from the source application level to the firebase backend to a BigQuery data warehouse, creating reports and ultimately visualizing this data in Data Studio.• Communicated strategic, financial and marketing roadmap, goals and KPIs to hundreds of people at Co.Accelerator Demo Day.

• Served as an internal strategy consultant MBA intern within the Enterprise Project Management Office, advising C-Suite and VP-level leadership on the operational and financial requirements required for the $7B company to achieve aggressive growth targets by 2025. Project sponsored directly by Chief People Officer.• Analyzed internal processes and built models in excel projecting future staffing levels, physical space requirements, and IT spend ($100M+). Assessed impacts of shared services / outsourcing, franchisee support, and mobile ordering.• Distilled complex quantitative and qualitative analysis into a concise PowerPoint presentation and personally presented to C-Suite and VP-level executives. Fielded questions, facilitated discussion and influenced how staffing strategy would be operationalized.

• Planned and executed marketing campaigns for customer acquisition, cross-selling, and retention within the Home Loans division, targeting millions of potential customers through hundreds of campaigns. Developed detailed reporting for VP-level Leadership.• Optimized marketing campaign processes to decrease campaign timing/costs and created data visualizations for Marketing and Sales Executives.• Reengineered customer geolocation process to decrease average campaign execution time by 3-4 days. Analyzed process flow and identified operational bottleneck. Oversaw implementation that cut 60 man-hours per month and $90K in software licenses/year.• Designed and built automated reports using SQL, Python and Excel to track sales performance and calculate impact of specific promotions on the sales pipeline. Extracted data from Teradata databases and constructed models to display KPIs to senior leaders.

• Used predictive analytics to identify Credit Line Increase needs for super-spender segment with >$1million in annual spend.• Determined metrics used to evaluate the performance of Small Business heavy spenders.• Created reports using SQL and excel that enabled senior leaders to further analyze Small Business Credit Card customer segments.

• Developed Data Visualizations and reports to improve executives’ access to large volumes of data, deriving insights that shaped product decisions• Projected rates, premiums, retention, and hit rates for 9 states over 3 years using statistical modeling

• Created a State Management dashboard for senior leadership, utilizing programming and data mining skills to consolidate and present relevant information with the ability to drill down to more granular data

• Researched network clustering evacuation optimization techniques and advised Ph.D candidates in selection of primary optimization techniques to be used for Jacksonville evacuation model.

• Analyzed and improved processes for migrating large amounts of data as part of an inventory management system upgrade• Coordinated engagement between the IT and engineering departments to resolve migration issues