Portfolio: Alyssa Campbell

About

Hello, welcome to Atlas Folio!

I am a data professional with expertise in data visualization, data science, data engineering, and ethical AI development, with several years experience building scalable data ecosystems and impactful data solutions with Python, SQL, and cloud platforms.

My work has touched on the themes of anticipatory climate action, humanitarian and disaster response, as well as urban and transportation planning. My area of technical expertise includes building interactive data visualizations and dashboards, geospatial work, working with APIs and data pipelines, as well as in impact and measurement strategy.

With an ever-growing curiosity for the world that surrounds me, I geek out on all things data visualization, geospatial, and urbanism. In my spare time, you will find me exploring new parts of the city, planning my next travel adventure, dabbling with a new language, or by the water sailing, swimming, and paddle-boarding.

Quick links:

Toolkit

Programming: Python, SQL, JavaScript, R
Data visualization: Plotly, d3.js, Looker, Tableau, PowerBi, Mapbox GL JS, Leaflet, CARTO, QGIS
Cloud platforms: Google BigQuery, Google Cloud & Earth Engine, Databricks, Azure Data Studio, Azure SQL Server, MySQL Database, Jira
Analytical tools: Google Analytics, Google Tag Manager, Jupyter Notebook, VS Code
AI models: Claude, Gemini & Vertex AI, OpenAI GPT-4, Langchain, LLAMA 3, Ollama, PyTorch

Languages:
- English: native speaker
- Spanish: advanced
- French: advanced

Education:
- MS Data Analytics and Visualization
- MSc Urban Planning
- BA in Social Sciences

Portfolio

Analytics Dashboards

Over the years, I have developed several business intelligence and social media monitoring dashboards using various tools, such as PowerBi, Tableau, and Looker.

Geospatial Flood Predictions

These maps visualize the 3-D flood risk in Pakistan based on precipitation data using CARTO, created for the 2024 SatSummit NASA Lifelines Conference.

Visualizing a life, uprooted

This project is an interactive data visualization narrative of the oral history of my great-grandfather, born to an Armenian family in Cilicia, Ottoman Empire. It explores his learnings, loves, and losses through a genocide, civil war, finding love, building and re-building home across three countries. In the first part, Python's NLTK library is used analyze the main themes and sentiments of Hovsep's life, visualized with d3.js and Plotly. The second part is an abridged visual narrative, using a mix of interactive maps, historic footage, family photos and recent travel photos in Lebanon and Eastern Turkey. This project uses Plotly, d3.js, Mapbox GL JS, among other tools.

Exploring global trade links on the Swahili coast

This data visualization exploration, created with Tableau storyboard, explores global maritime trade links, both historic and present, of the Swahili coast with a focus on the UAE and China. Visualizations include a historical shipwreck map, an interactive mapping of Kenya's top shipping partners through maritime shipping connectivity index data, and a sentiment analysis conducted in R of local media articles written about the new Port of Lamu.

Visualizing the LGBTQ Network Survey

The New York State LGBTQ+ Health and Human Services Network Needs Assessment is among the most comprehensive LGBTQ health surveys in the U.S. This interactive digital overview of the report highlights key findings, including intersectional disparities in care/access and the critical need for mental health support. It aims to highlight the needs and service barriers faced by this underserved community. This project uses d3.js.