• About Me
• Projects
• Resume
• Contact

About Me

Data and product leader with two decades of experience building analytics solutions, shaping data-informed experiences, and helping organizations turn complex behavior signals into clear, motivating action.

I specialize in BI product ownership, behavioral insight design, and creating experience frameworks that help people build healthier habits. My work blends analytical rigor with human-centered thinking – using experimentation, narrative, and iteration to improve engagement, reduce friction, and scale impact across cross-functional teams.

I’ve led work at the intersection of research, design, and analytics, partnering with engineers, clinicians, analysts, and customer-facing teams to shape products from early discovery through launch and iteration. My background includes translating behavioral theory into practical digital workflows, designing self-guided and coach-supported experiences, and using experimentation to refine engagement over time.

I have adeep passion for synthesizing qualitative insight with quantitative modeling to surface opportunity, guide prioritization, and ensure solutions are usable, motivating, and grounded in real-world constraints.

Key Skills

• About Me
• Projects
• Resume
• Contact

Projects

OnyxInsights

Hotels and travel management companies struggle with fragmented booking data, minimal market context, and negligible competitive intel which inhibit strategic business decisions. OnyxInsights centralizes, transforms, and supplements this complex data into clear, benchmark-driven business intelligence. Organizations gain visibility into performance, uncover growth opportunities, and make confident, data-driven decisions.

Population Health Explorer

An underutilized population health dashboard suffered from cognitive overload, accessibility issues, and unclear focus. Heuristic evaluations and usability testing to identify pain points, then prioritized and implemented UX and visual design improvements aligned to user needs. The evolved dashboard achieved higher engagement, longer continuous usage, and faster task completion.

BRFSS Dashboards

Transforming oblique health survey records into accessible public dashboards. I cleaned, wrangled, and analyzed the BRFSSs’ 2.3 million records to help increase awareness of health trends across the nation.

• About Me
• Projects
• Resume
• Contact

Resume

Download Resume       

Summary

Senior data and product practitioner focused on creating insight-driven tools that guide people toward better decisions and sustained behavior change. My background spans analytics platforms and experience design, where I apply research, testing, and storytelling to simplify complexity and drive adoption across multidisciplinary teams.

Skills

BI Product Ownership               Systems Thinking
Behavioral Insight Design          Journey Mapping
Product Strategy & Roadmapping     Data Storytelling
Product Discovery & Validation     Stakeholder Alignment
Human-Centered & Inclusive Design  Research Synthesis
Experience Framework Design        Outcome Measurement
Heuristic Evaluation               Usability Testing
Data Modeling & Pipeline Design    Python
Segmentation & Forecasting         Tableau
Cross-Functional Leadership        SQL

Experience

Manager, Business Data Analytics

Onyx CenterSource | Remote | July 2025 – Present

• Directed the flagship BI product, revitalizing the product roadmap, strengthening client relationships, and doubling annual contract value through new customer growth
• Designed and launched a new analytics product capturing historically low-penetration customer segments; applied user research, heuristic testing, and iterative prototyping to support successful sales engagement
• Built a sales-enablement dashboard suite that increased sales, presales, and actualization engagement 1.5× in year one and ~3× in year two through iterative UX and user testing cycles
• Delivered advanced client-facing BI dashboards that increased individual client ACV by ~20% and expanded strategic account conversations.

Business Data Analyst

Onyx CenterSource | Remote | May 2023 – July 2025

• Advanced a prototype BI product from alpha to launch, including database design, pipeline development, dashboard UI/UX, usability evaluation, and a 9-dashboard self-service demo that generated $600K+ in product pipeline opportunities
• Created a market penetration dashboard that reshaped market strategy, dispelling long-standing misconceptions, and improving prospect targeting accuracy by 200%
• Optimized BI product performance by restructuring data tables and rewriting SQL/Tableau logic, accelerating dashboard load times by 11.2x
• Developed product lifecycle analytics to identify delays and propose process fixes, accelerating payment timelines and improving NPS/client retention.

Independent Contractor and Consultant

Self-employed | Columbia, MO | April 2021 – May 2023

• Designed product-specific cost and materials models that decreased waste and increased ROI by 30%
• Improved communication workflows between clients and contractors, achieving 25% higher profitability per project vs. peers
• Coordinated client-contractor-supplier operations to streamline distribution and accelerate project delivery by 20%

Senior Project Manager

Ionia, Inc. | Kasilof, AK | January 2018 – April 2021

• Launched virtual wellness products in 27 days, preserving 19% of annual revenue during COVID by redesigning user journeys for remote engagement
• Led cross-functional teams delivering health and behavioral programs with 82%+ participant satisfaction
• Managed a $200K+ portfolio of grant-funded programs focused on health and wellness outcomes

Data Analyst & Project Coordinator

Ionia, Inc. | Kasilof, AK | June 2012 – December 2018

• Redesigned a ride-tracking product and workflows using behavioral, touch-point , and engagement research, reducing staff burnout by 12% and operational waste by 36%
• Built operational data pipelines that decreased errors by 38% and protected 6% of revenue
• • Produced monthly decision-intelligence reports that increased organizational performance awareness by 32%

Academic

M.S. Data Science & Analytics (In Progress)

Emphasis in Human-Centered Design and Bioinformatics

University of Missouri, Columbia
2026 (In Progress)

Data Analytics Certification

Career Foundry
2022

B.A. Visual Arts, Summa Cum Laude

University of California, Los Angeles
2009

• About Me
• Projects
• Resume
• Contact

Contact

For questions, opportunities, or collaboration, feel free to reach out via LinkedIn or email.

You may also explore my work on Tableau, GitHub, and Kaggle.

• About Me
• Projects
• Resume
• Contact

BRFSS Dashboards

Summary

Objectives

• Transform the BRFSS data into a more accessible tabular dataframe.
• Create and upload subsets of the original data to facilitate public use.
• Provide current regionally relevant health metrics for healthcare professionals and policy makers.
• Create public dashboards explaining key BRFSS insights.

Process

Source a sufficiently robust set of public health records. Learn the variables' relationships to one another, their meaning, and significance. Keep a detailed project log of all steps taken in the analysis. Data cleaning: remove irrelevant years, variables, topics, questions, and classes; validate data for type, range, consistency of expressions, and null values; standardize temporal variations. Build a data dictionary to reduce dataset storage size and help ease of understanding. Wrangle the data into categorical health subsets via a standardized trnasformation process. The subset categories are: general health, dietary health, mental health, physical activity, and overall health. Establish national averages by calculating and plotting the summary statistics for each question response. This will provide a baseline to evaluate response averages on the international and the state levels. Examine geospatial trends on the state level in six key health categories. Writing custom plotting functions expedited the process of plotting choropleths for each response. Plot correlation heatmaps in strong, medium, weak, and health category groups. The additional groupings help prioritize and direct subsequent steps of the analysis. Linear regressions explored the predictability of variable pairs with strong correlative relationships. User defined functions expedited the process by revealing variable pairs with the strongest regression statistcs and rapidly plotting regessions for easy visual anlysis. A time-series analysis highlighted which factors were improving over time and which were getting worse. This helped set a prioritize the dashboard building queue. A formal ranking system let the results of the analysis be communicated and visualized more effectively. Multiple variables from each health category were weighted and combined to make the ranking system. States were ranked in six individual health categories and one combined overall category. The results from the analyses were compiled into visually compelling, interactive Tableau dashboards.

Insights

• 66% of Americans are overweight or obese and obesity rates are on the rise.
• 39% of Americans experience some mental health struggles.
• 24% of Americans are physically active less than once a month.
• The South ranks poorly for BMI, general health, mental health, dietary health, and physical activity.

Data

Specs

• 2.29 million records by 27 variables
• 54 states, provinces, and territories
• 2011 - 2021
• Downloaded: 12/14/2022

Sources

• BRFSS prevalence data (2011 to present)
• BRFSS methodology
• BRFSS glossary
• CDC BRFSS portal

• About Me
• Projects
• Resume
• Contact

Connecticut Residential Real Estate '11-'21

Summary

Objectives

Process

Source reliable real estate records and begin a project log to keep a detailed account of all steps taken during the analysis. Clean and wrangle the data for relevance and to normalize monetary values via the US Bureau of Labor and Statistics' Consumer Price Index. An exploratory visual analysis gave a basic understanding of the data and led to the hypothesis that as assessed value increases, so does the final selling price. A geospatial analysis indicated that towns in the south-west corner of the state (nearest New York City) tend to have the largest sales, populations, and volume of sales. Linear regressions confirmed that a property's assessed value is a strong predictor of its final selling price. A k-means clustering algorithm revealed distinct trends for high and average valued properties. The data was categorized into pre- or peri-pandemic groups to the effect of COVID-19 on the Connecticut real estate market.

Insights

Data

Specs

• 430,492 records by 20 variables
• 169 towns
• 4 open-sourced datasets
• October 2010 to September 2021

Sources

• Connecticut real estate records
• Connecticut town populations
• Connecticut township GeoJSON
• USBLS Consumer Price Index

• About Me
• Projects
• Resume
• Contact

Population Health Explorer

Summary

Objectives

Process

Assessment & Research: Conducted heuristic evaluations and distributed a user survey to identify usability and accessibility issues. Synthesis & Prioritization: Analyzed feedback to isolate high-impact problems and prioritize improvements based on user needs and effort. Redesign & Iteration: Simplified dashboard scope, refined visual hierarchy, and adjusted color usage to improve clarity and contrast. Validation: Compared engagement, usage time, and task completion efficiency before and after implementation.

Insights

• Broad, multi-purpose dashboards can dilute clarity and reduce adoption when user goals are not clearly prioritized.
• Accessibility issues such as low contrast can significantly impact usability - even for users without identified impairments.
• Reducing visual density often improves both perceived and actual efficiency.
• Small, targeted UX changes can lead to outsized gains in engagement and effectiveness.

Data

The dashboard leverages aggregated Behavioral Risk Factor Surveillance System (BRFSS) data to present population-level health indicators and trends. Data is structured to support comparative analysis across geographies and time while maintaining appropriate abstraction and avoiding exposure of any individual-level information.

• About Me
• Projects
• Resume
• Contact

Sales Targeting Suite

Summary

Objectives

Process

Collaborated closely with sales, presales, and actualization stakeholders to understand their decision-making needs, pain points, and workflow constraints. These conversations helped surface inconsistencies in existing metrics, gaps in data accessibility, and opportunities to better support day-to-day actions across teams. Translated business goals into a clear set of standardized performance metrics and KPIs, ensuring alignment across teams and use cases. Designed an initial dashboard framework that balanced analytical depth with usability, focusing on clarity, hierarchy, and intuitive navigation. Conducted structured usability testing sessions and gathered ongoing qualitative feedback to evaluate how users interacted with the dashboards in real workflows. Observed friction points, measured comprehension, and identified opportunities to reduce cognitive load and improve interpretability. Refined visualizations, interactions, and underlying data models through multiple iteration cycles informed by user feedback and usage patterns. Improvements focused on simplifying complex logic, increasing performance, and ensuring that insights were immediately actionable. Rolled out dashboard updates incrementally and monitored adoption, engagement, and downstream impact over time. Used usage analytics and stakeholder feedback to guide continuous enhancements, ensuring the product remained relevant as business needs evolved.

Insights

• Reducing cognitive load in dashboards drives higher trust and adoption than adding more metrics.
• Consistent metric definitions across teams are critical for alignment and decision-making.
• User feedback early and often prevents costly redesigns later in the lifecycle.
• Dashboards are most effective when embedded directly into existing workflows.

Data

The dashboards were built on aggregated operational, performance, and engagement data sourced from internal and external systems. Data included time-series metrics, categorical performance indicators, and activity-based signals relevant to revenue operations. All data was transformed and modeled to support consistent definitions, trend analysis, and cross-functional reporting while adhering to internal governance and confidentiality constraints.

• About Me
• Projects
• Resume
• Contact

OnyxInsights

Summary

Objectives

Process

Product Immersion and Design Continuation: Integrated into the project following early user research, refining and completing wireframes to ensure clarity, usability, and scalability across dashboards. Dashboard and Data Development: Built production-ready dashboards, data sources, and visualizations that transformed normalized payment and booking data into benchmark-focused insights. UX Testing and Iterative Enhancement: Ran multiple rounds of usability testing and incorporated client and internal feedback to improve comprehension, performance, and workflow integration. Client Customization and Enablement: Delivered bespoke reporting variations for clients while maintaining product consistency, and trained sales teams on product functionality and value propositions. Market Support and Ongoing Optimization: Contributed to packaging, marketing, and thought leadership content while supporting continuous product refinement informed by client outcomes and industry trends.

Insights

• Benchmarking is most effective when paired with clear contextual explanations and recommended actions.
• Hospitality users value trust, clarity, and consistency over overly complex analytical depth.
• Customization must balance flexibility with strong core product standards to remain scalable.
• BI products gain credibility when insights are tightly connected to real operational outcomes.

Data

OnyxInsights leverages aggregated, anonymized hospitality payment, booking, commission, and performance data sourced from connected operational systems. Data is ingested, normalized, enriched, and modeled to support accurate benchmarking across markets and segments. The resulting datasets enable trend analysis, peer comparison, and performance evaluation while adhering to strict confidentiality and data governance standards.

• About Me
• Projects
• Resume
• Contact

Health Seminar Virtualization

Summary

Objectives

Process

Assessment & Planning: Identified critical seminar content, participant needs, and technology requirements. Content & Delivery Conversion: Adapted multi-day seminars into virtual-friendly formats, including live and recorded sessions. Staff Enablement: Trained instructors on AV equipment, virtual facilitation techniques, and accessibility best practices. Pilot & Launch: Conducted test sessions, refined delivery based on feedback, and launched the program within 27 days. Monitoring & Iteration: Collected participant feedback and engagement metrics to inform future virtual programming.

Insights

• Rapid digital adoption is possible even for participants with technophobia when support and simplicity are prioritized.
• Maintaining educational outcomes requires intentional design for engagement and accessibility.
• Small, remote organizations can scale reach and impact through virtual program delivery.
• Crisis-driven innovation can uncover long-term operational efficiencies.

• About Me
• Projects
• Resume
• Contact

Rural Transit Ride Tracking System

Summary

Objectives

Process

Contextual Research & Stakeholder Interviews: Conducted field research with drivers and program staff to understand cognitive, environmental, and workflow constraints in real driving conditions. Task Simplification & Accessibility Mapping: Identified points of friction in existing logs and redesigned tasks to minimize reading, writing, and memory demands. Iterative Prototyping & Validation: Tested simplified in-vehicle forms and data entry workflows with drivers, refining based on usability feedback and observed errors. System Integration & Error Correction Design: Collaborated with engineering partners to implement a locally stored, auto-completing system that corrected common duration and distance inconsistencies. Pilot Deployment & Outcome Measurement: Rolled out the solution incrementally, monitoring adoption, data quality, reimbursement rates, and operational workload.

Insights

• Accessibility is operational efficiency: Designing for cognitive accessibility directly improved data accuracy and financial outcomes.
• Error tolerance matters more than error prevention: Systems that gracefully correct mistakes are more effective than those that demand perfection from users.
• Contextual constraints drive design: In-vehicle environments require radically different UX assumptions than desk-based systems.
• Human-centered design reduces burnout: Simplifying workflows can have measurable impacts on staff retention and morale.

Data

The system captured structured ride-level data, including timestamps, stop counts, passenger information, and trip durations. Data was stored locally to ensure reliability in low-connectivity environments and validated through automated logic to flag and correct common inconsistencies. All data handling followed program-level privacy and compliance requirements, with no personally identifiable information exposed outside the system.

• About Me
• Projects
• Resume
• Contact

Instacart Basket Analysis

• About Me
• Projects
• Resume
• Contact

Rock Buster Stealth LLC

• About Me
• Projects
• Resume
• Contact

Medical Staffing Agency

Summary

Objectives

• Provide information to support a staffing plan, detailing what data can help inform the timing and spatial distribution of medical personnel throughout the United States.
• Determine whether influenza occurs seasonally or throughout the entire year. If seasonal, does it start and end at the same time (month) in every state?
• Prioritize states with large vulnerable populations.
• Assess data limitations.

Process

Translate the agency's BRD into questions and deliverables. Clean, combine, and assess the relevant datasets. Create a scatter plot check the theory that ideal staffing ratios help reduce influenza mortality rates. Then validate the theory with a statistical hypothesis test. Conduct a time series analysis to check for seasonality in influenza contraction and mortality rates. Examine geospatial trends in influenza contraction and mortality rates via choropleths. Compile all findings into a prioritize list of states that can be adjusted for time of year. Build a compelling storyboard with interactive dashboards to fulfill the medical staffing agency's requirements.

Insights

• A state's staffing priority depends on its current influenza count and its average vulnerable population size.
• Flu season peaks in January is elevated from November through April.
• California, Texas, Florida, and New york have the largest average vulnerable populations.
• Alaska, Delaware, and Florida have not provided enough data to be accuaretly assessed.

Data

• Primary dataset: 3,060 records by 45 variables
• Secondary dataset: 66,096 records by 7 variables
• Source: CDC Influenza Deaths
• Source: CDC Influenza Contraction Rates
• Source: US Census Bureau Populations

• About Me
• Projects
• Resume
• Contact

GameCo

Summary

Objectives

• If some types of games are more popular than others.
• Have any games changed in popularity over time.
• How have sales varied by region over time.

Process

Refining questions and answers were exhcanged with the stakeholders to pinpoint the desired deliverables. The data was cleaned, removing or imputing values for incomplete records, unifying categorical values, and reducing the number of years for relevance.
Pivot tables aggregated information to give a clear understanding of the data and help create visualzations.
The key findings and visualizations were compiled into a compelling stakeholders' report.

Insights

• Popularity of genres varies strongly by region. Overall, action, shooter, and sports games are currently the most popular.
• Puzzle, racing, simulation, and strategy games have been decreasing in popularity.
• Action, shooter, and sports games have been increasing in popularity.
• Most sales during the 2000s have been in North America, but North American sales have been in decline since 2002.
• In 2015 Europe surpassed North America as the market leader.
• All markets have saw a massive decline in sales from 2008 to 2016.

Data

• Records of videogame sales over 100,000 units
• From 1980 to 2016
• Final dataset: 16,590 records and 10 variables
• Original data from VGChartz.com

• About Me
• Projects
• Resume
• Contact

Xyz

Summary

Objectives

Process

x x
x
x

Insights

• x
• x
• x
• x
• x
• x

Data

• x
• x
• x
• x

Elements

i = 0;

while (!deck.isInOrder()) {
    print 'Iteration ' + i;
    deck.shuffle();
    i++;
}

print 'It took ' + i + ' iterations to sort the deck.';