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👋 Hi, I’m Nicole, a creative technologist based in 🏖️ Rehoboth Beach, Delaware. I use narrative, images, and code to create provocative, thoughtful, and impactful data experiences and stories.
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Contact
📧 [email protected]
📱 +1 813.230.7946 mobile
🔗 LinkedIn
🦋 Bluesky
👾 Github
Experience
Data Analytics, Visualization, and Engineering Consultant
Nicole Designs Data LLC, Tampa, FL (onsite + remote) | Jan 2023 - Present
- Created, maintained, and optimized complex Tableau dashboards for clients in healthcare, technology, academia, and life sciences, including the nation’s largest municipal public health system, several health tech startups, and two logistics companies.
- Performed complex data wrangling, transformation, and data enrichment with Python/pandas, R/tidyverse, SQL, Snowflake, Tableau Prep, Alteryx, AWS Glue Data Brew, and KNIME.
- Worked with various cloud platforms including Amazon Web Services, Google Cloud Platform, and Snowflake.
- Developed proficiency in numerous ELT/ETL technologies including dbt, Airbyte, Airflow, Databricks, Fivetran, and Skyvia.
- Developed several product recommender models with Python/NLTK and Dataiku.
- Designed user interfaces with Figma and Adobe Illustrator.
Data Visualization Engineer
Cart.com, Houston, TX (remote) | May 2022 - Jan 2023
- Created low- and high-fidelity wireframes, mockups, and prototypes in Figma. Collaborated with UX designers to uphold data visualization best practices while also adhering to brand style guidelines and UX best practices.
- Engineered new, complex data visualizations for embedded advanced analytics and for internal dashboards in Tableau Desktop. Deployed to development and production Tableau Server environments and optimized for best performance.
- Updated existing visualizations to meet new technical requirements, design standards, or customer needs.
- Supported and educated Tableau Desktop and Tableau Server users and creators across the organization. Co-led weekly Tableau training. Helped users and creators troubleshoot data connectivity issues, data source refresh problems, and access and role-based permissions concerns.
- Championed the adoption of a data dictionary, the clear definition of metrics, and data quality and governance efforts.
- Developed a “data health” dashboard for internal users to be able to check recency, completeness, missingness, and other data quality measures.
- As a member of the data science engineering team, managed work according to Agile best practices, met sprint deadlines, and participated in all Agile ceremonies.