- Lead a Data Science team along with partner teams focused on end-to-end development and MLOps integration of Advanced Analytics support for Sales functions- Developed Individual Contributor work like a Natural Language Processing classification model focused on categorizing voice-to-text transcriptions with high performance metrics like F1 Score: 81%, Precision: 83%, and Recall: 77%

- Contract role with Nike Enterprise Data & Analytics in Beaverton, Oregon via TEKsystems- Leading the development of Nike's "next generation" Digital and Brick & Mortar Sales & Demand-focused transactional data products- Leveraging AWS microservices and an Apache Kafka streaming framework to reduce data latency from several days to real-time- Cross-functional work across Product, Engineering, Analytics, and Business teams

I was contracted to consult on-site for Nike via Mu Sigma Inc. under Nike's Commercial Analytics organization. I function as an Agile (Scrum) Product Manager across multiple teams of Data Scientists, Data Analysts, and Data Engineers in the US & India focused on applying Advanced Analytics to address:- Demand Sensing (forecasting) for the wholesale marketplace- Nike Direct to Consumer channels (ex: Nike.com, SNKRS App, etc.)- Supply Planning- Allocation - Optimization problems

I was contracted to consult on-site with Nike via Mu Sigma Inc. for Nike's Marketplace Advanced Analytics. I support squads focused on projects relating to: Forecasting, Testing, Optimization, Supply and Inventory Planning and Optimization, and Nike Direct Channel Optimization. Examples of daily work include:• Developing and implementing advanced analytics & data science projects using Machine Learning algorithms.• Managing, prioritizing, and creation of product backlog items in Jira.• Reporting success to product owners and stakeholders.• Reviewing code and deploying web applications.• Conducting Exploratory Data Analysis using Tableau or Jupyter Notebooks.• Feature importance and engineering in predictive modeling.Technologies used in self-guided daily work: • SQL, Python, Tableau, Jira, PySpark on Amazon EMR, R, Jupyter Notebooks.

- Contract employee with Nike

- Contract employee with Nike- Contract employee with Microsoft

I was assigned to consult on-site with Microsoft via Mu Sigma Inc in Advanced Analytics. I supported squads focused on: U.S. Marketing & Operations, Product Telemetry Engineering, B2B Sales Advanced Analytics, and Cloud membership analytics. I communicated success to stakeholders and leadership. Examples of daily work include:• Automating and stabilizing data pipelines to remove inaccuracies and redundancies• Building and managing teams of local and offshore data scientists and developers.• Designing and implementing a successful Machine Learning services recommender system.Technologies used in self-guided daily work: • Power BI, SQL Server, Advanced Excel, Azure ML Studio, Office 365, Cosmos

I created and distributed marketing collateral for a $6 million startup that manufactures military style apparel and equipment for consumers. I oversaw the entire marketing operations, including event planning, campaign design and management, website development and ecommerce. I developed and coordinated marketing timelines with product development and IT teams, and became the “voice of the customer” via reviews and survey results. Past successes:• Contributed to 50% year over year increase in Black Friday season revenues by coordinating and releasing marketing collateral prior to product and sales launches. Created pricing model and performed cost-benefits analysis, and competitive pricing. • Created a new Excel-based pricing model that incorporated cost benefit analysis, cost of goods sold, competitor pricing, and margins, giving management a concise and consolidated view of business operations. • Managed campaign release of 80 new SKUs with product development team to translate designs specs into creative content.

As production coordinator, I set budgets and assisted with the hiring and on-boarding of production assistants. As production assistant, I directly engaged executive producers, directors, and A-list talent, ensuring deliverables met expectations for quality and timeliness. I assisted in editing and post production for two feature films and several nationally distributed television series. I am proud to have:• Managed purchase orders exceeding $200K annually. • Hired, developed, and mentored a team of 7 production assistants and production interns. • Established a strategic partnership with a production studio that led to that studio’s debut on HBO. • Edited broadcast and online commercial campaigns for Old Spice deodorant that generated over 18 million YouTube views and achieved clients’ goals of online and broadcast campaign visibility.

I assisted the writing and production staff of “Family Guy” with delivering show scripts and episodes on time. I contributed to the writing process and had input into the show's creative output. I honed writing skills, editing scripts for accuracy and standards compliance, and collaborated in brainstorming sessions with writing staff.