- Founded and led the analytics department, overseeing all data operations, reporting functions, and strategic initiatives to optimize performance and drive growth across 50+ brand clients
- Directed company-wide data architecture shift from Salesforce to AWS Redshift, enabling robust analytics and more accurate forecasting of performance and spend efficiency
- Designed and deployed machine learning models to predict content partnership performance and optimize spend — improving media planning, campaign CPA, and ROAS
- Developed advanced measurement methodologies to estimate incremental consumer activity from non-pixeled media, improving visibility into influencer-driven brand impact
- Built scalable automation and a reporting suite integrating data across third-party APIs (YouTube, Meta, TikTok) and internal systems, enabling real-time interactive insights for account teams, clients, and leadership
- Reduced weekly reporting time by ~90% (~38 hours/week) through automated reporting pipelines and dashboard standardization
- Recruited, managed, and mentored a team of analysts — drove performance improvements, enhanced workflows, and ensured the execution of data-driven strategies across client accounts
- Conducted in-depth granular analyses of individual media performances to identify factors correlated with success and produce predictive models
- Designed and compiled quarterly industry reports, including vertical pricing and racial pay gap analyses
- Administered the organization's Salesforce database
- Raised the organization's YouTube API quota to 550,000 per day (+5,400%) through negotiations with YouTube's Chief of Staff
- Built a bespoke Python module for the organization to facilitate processes involving internal logs, Salesforce, Google, Slack, various media platforms, and other third party tools
- Introduced LLM-based automation into internal and client-facing reporting workflows, including two tools that became templates for subsequent team projects
- Created a program to flag opportunities for improvement and surface potential concerns by pinging relevant team members in Slack
Key accounts: Acer, Acorns, AG1, Chomps, CustomInk, DraftKings, Fiverr, Grubhub, HelloFresh, Hungryroot, Kraft Heinz, NerdWallet, Pottery Barn, Rocket Money, Shark, SimpliSafe, Vinted, Vistaprint, Whirlpool, Wizards of the Coast
- Supported Fortune 500 financial clients by advising on budget allocation, spend efficiency, and performance optimization in affiliate marketing campaigns
- Presented performance trends and strategic recommendations directly to clients in weekly syncs and quarterly business reviews
- Enhanced internal analytics capabilities by building automated pipelines and reporting tools, enabling faster and more consistent delivery of performance insights across accounts
- Tapped by the SVP of Advanced Analytics for select internal data initiatives outside standard account work, including custom scripting for data cleaning and analysis
Key accounts: Citibank, Goldman Sachs, TD Bank
- Championed data-driven decision making in a traditional manufacturing
environment, introducing analytics and process automation to improve operational
efficiency and cost visibility
- Promoted from Applications Engineer to Business Analyst, taking on expanded
ownership of data infrastructure and reporting initiatives
- Decreased quoting time ~90% by developing a program for automating quote creation and related administration processes using Python and Excel VBA
- Developed custom dashboards and analysis frameworks to monitor project progress,
track program execution, and surface cost anomalies for leadership
- Created a master dashboard organizing data across three product lines — used
daily by engineering for quick reference
- Built data infrastructure and automation tools (Python, SQL, VBA) to streamline
reporting, reduce warranty claim cycle times by 70%, and improve project pricing
accuracy
- Designed and shipped a Django-based web application to distribute automated
file-analysis and data cleaning tools directly to management and engineering teams
- Collected, transformed, and cleaned data for automation and analysis pipelines
- Tested clients' products and analyzed data for custom orders — average rate of 1.5 tests per month, 25% of which led to customer purchases
- Generated machine layouts and formal quotes for customers
- Supported the sales team with technical guidance
- Designed complex industrial filler and labeler systems for food and pharmaceutical products
- Overhauled existing designs to meet market price demands for food and pharmaceutical products
- Designed components for Centritech centrifuge systems
Key accounts: Clorox, Danone, Johnson & Johnson, Kraft Heinz, Mondelez, Pfizer, Starbucks
- Designed comprehensive in-line and rotary packaging machines for various products and containers
- Created custom designs based on client specifications and material requirements
- Introduced entirely new assemblies to the product line
- Collaborated with engineers and machinists to minimize cost and production time
Key accounts: Bob Evans, Coca-Cola, Purina, Sabra, Whitewave Foods