Heather Harris

* Create impactful strategies, roadmaps and planning to powerfully elevate AI and data science deployments. * Harness data stack and modern analytics tools to create impactful business outcomes. * Scale to meet demand for advanced data insights. * Empower data scientists and analysts to allow advanced analytics to yield its greatest gains.

Human-centered approach to innovation. Provide expertise in delivering Analytics-as-a-Product by applying Design Thinking and Design Methods to the development and delivery of AI, Machine Learning and Advanced Analytics solutions.

Provide career development support to female executives in the analytics space

Defined and executed crew planning strategy and roadmap to deliver key crew financial and operational insights.

Led AI & Advanced Analytics P&L, including go-to-market and delivery over dozens of concurrent teams for artificial intelligence (AI), data science, machine learning (ML), machine learning operations (MLOps), advanced analytics and visual intelligence solutions for some of the world’s best-known brands in Retail/CPG, Transportation, Media, Telecom, Health & Technology. Clients included T-Mobile, Microsoft, Nike, Disney, Adobe, PepsiCo/Frito-Lay, JetBlue, Best Buy, Door Dash, CVS Aetna, Vans, United Airlines, West Marine, Chevron, Eddie Bauer, Petco, Parker Hannifin, Daimler Trucks, The North Face, Arista Networks, REI, Charter Communications, Splunk, City National Bank/Royal Bank of Canada (RBC), Verizon, GreatCall, Advisor Group, Sempra, Hanover Insurance, Sumco, Seagate, Leslie’s Pool Supplies, Brenntag and Janus Henderson.

Led and delivered data and analytics strategy and roadmap for large-scale federal government digital transformation.

Developed roadmaps and deployed enterprise analytics technologies, managing applications throughout the entire application lifecycle. Senior consultant for business leaders to translate business objectives into data and technology strategies. Liaison between ITS and the business for advanced data and analytics projects.

Cray Supercomputers, AMD (Advanced Micro Devices), National Semiconductor, Cadence Design Systems, Tera Computer Co., Digital Harmony Technologies, Mobile Semiconductor, SELEX Sistemi Integrati, JTAG Technologies and OnQ Consulting Provided strategic direction and technical leadership with emerging and disruptive technologies for multi-million-dollar complex, multi-company, geo-diverse engineering projects.

The UW Mid-Career MSIM program develops the analytic capability, ethical awareness, and leadership skills for executives to manage innovative systems of information for all types of organizations. The Data Science & Analytics technical specialization increased my abilities in advanced analytical methods (i.e. machine learning) for large datasets ("big data") to derive insight from large-scale, heterogeneous data.

● Master the basics of machine learning to harness the power of data to forecast what's next. ● Use Python to mine datasets and predict patterns. ● Build statistical models — regression and classification — that generate usable information from raw data. Topics: Research Design ● Statistics Fundamental ● Statistical Modeling ● Linear Regression ● Logistic Regression ● Model Fit Evaluation ● Classification ● Decision Trees & Random Forests ● Natural Language Processing (NLP) ● Dimensionality Reduction ● Time Series Data Tools: Python ● Pandas ● Sci-Kit ● NumPy ● Jupyter (Python Notebook) ● Spyder ● Anaconda Launcher ● JSON ● CSV ● Web Scraping

● Hands-on comparison of cloud big data solutions, cloud-hosted databases and cloud-based storage on AWS (Amazon Web Services), Azure (Microsoft) and Google Cloud. ● Technical concepts including data models, cloud architecture, scalable analytics administration, distributed systems, distributed computing, data visualization, multi-vendor solutions, relational query processing and working with unstructured data. ● Key aspects of data security, synchronization and protection. ● Cloud data platforms and storage major features and functions. Courses: ● Supporting Scalable Analytics in the Cloud. ● Cloud-Hosted Databases. ● Cloud Services for Storage ● Database Management

Software and compiler design; hardware/software integration; digital hardware design; control systems. Provost's Honor Roll Dean's List Eta Kappa Nu Electrical Engineering Honor Society Tau Beta Pi Engineering Honor Society Institute of Electrical and Electronics Engineers (IEEE) Kappa Kappa Gamma, Outstanding Leadership & Service Award #ILookLikeAnEngineer

Pre-Engineering & Journalism President's Honor List Dean's List Phi Theta Kappa National Honor Fraternity Mu Alpha Theta Mathematics Honor Society