United States

Customer Experience (CX)

Program Management

UX Research

University of California Riverside

Whittier College

Dominique Simmons

Customer Experience Program Manager, UX Researcher

Usability Testing

Statical Analysis

Qualitative research

Collaboration

Critical-thinking

Stakeholder management

AI/ML

Machine learning

User research

Pandas

Python

UserTesting

GitHub

Matplotlib

Miro

IBM SPSS

PowerBI

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Breaking into tech

-Developed program initiatives to better enable product teams to connect to and gather critical feedback from enterprise customers in exclusive advisory program

-Conceptualized and facilitated workshop series to scale product team presentation preparation using customer driven best practices resulting in high quality sessions and learnings at flagship bi-annual enterprise customer event

-Contributed to product storytelling by managing sensemaking activities for flagship enterprise customer events

-Advised product and engineering stakeholders on implementing customer driven development which increases quality of customer-validated product plans 

-Collaborated with internal and external stakeholders to define program success measures and ensure program initiatives align with stakeholder needs

-Collaborated with internal stakeholders to identify and implement process improvements

Azure Data Customer Advisory Team

Led product teams through implementing customer development best practices in enterprise customer feedback engagements. Synthesized and communicated enterprise customer challenges to inspire product teams to improve products to meet customer needs.

Azure Machine Learning
Enabled product and engineering teams to better connect with their customers via user research. Successfully led feature teams to drive customer engagements which resulted in successful public feature releases.

Conducted user interviews and usability tests to discover user challenges and opportunities in Azure Machine Learning product. Focused on experiences within data science workflow including compute provisioning and model Interpretability for responsible AI.

Organized and led discussions on mitigating bias in AI and machine learning, and engaging in professional development activities while pursuing new opportunities.

•	Presented strategic, data-driven recommendations to stakeholders to solve customer churn challenges
•	Developed recommender system using AzureML and SQL for sales collateral
•	Aggregated, filtered, and joined data in databases using SQL
•	Advised UX designers on visualizing client financial performance data in PowerBI
•	Tech Stack: AzureML, Microsoft Azure, Power BI, Python, SQL

•	Led custom demos for prospective customers as subject matter expert on data science and machine learning
•	Delivered proof of concept machine learning solutions to customers to improve IT support processes
•	Led discussions with enterprise customers on identifying AI media/entertainment and healthcare use cases
•	Advocated for customer needs in prioritizing features on product roadmaps
•	Performed usability tests to validate hypotheses on user behavior resulting in increased AI platform adoption
•	Led university partnerships in cutting-edge research on virtual environments and image processing
•	Principal researcher on visual attention study using eye-tracking and biometrics
•	Tech Stack: AWS, MATLAB, Matplotlib, Pandas, Python, Scikit Learn, SpaCy, SPSS

•	Developed auditory brain training program to aid rehabilitation of veterans
•	Taught courses on multisensory perception and cognitive processes
•	Designed audiovisual speech perception experiments using MATLAB
•	Performed statistical analyses to discover audiovisual speech patterns
•	Presented research findings at leading  conferences and published in peer-reviewed research journals
•	Tech Stack: MATLAB, Python, SPSS

•	Programmed eye-tracking and behavioral experiments using MATLAB and Praat
•	Hired, managed, and led team of research assistants in conducting psycholinguistics studies
•	Tech Stack: MATLAB, Praat

Discovered passion for research in speech perception. Gained skills in experimental design, behavioral, and electrophysiological methodologies as well as data analysis. Took courses such as Topics in Behavioral Neuroscience to prepare for graduate coursework.

Dominique Simmons🇺🇸

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