Matt Lampl

Hi, my name is Matt. I am working at the intersection of Data Science and Public Policy to take a data-driven approach to affect positive change.

Projects

Project 1: Transportation Equity, Mobility Justice, and Bikesharing in Pittsburgh

Used Data Science and Statistical Models to propose a network expansion for the bikesharing network with a focus on equity.
network map
Watch Recording
Presentation Slides
Final Report

Project 2: Decreasing the Risk of Reincarceration by Proactively Providing Mental Health Services

Developed a Machine Learning model that identifies those most at risk of reincarceration to proactively offer mental health services
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Report
Presentation

Project 3: Spot the Bot - Developing a Twitter Bot Detection Algorithm

Defined as automated accounts that can post, like, retweet, and follow other users, social bots have become a major concern for social media platforms and their users. As technology advances, it has become increasingly difficult for social media users to discern content generated by bots from content generated by humans. In turn, this can make it more difficult for users to critically evaluate bot-generated content, increasing the potential for misinformation. network_diagram
Report
Presentation
Repository

Project 4: To Bee or Not to Bee

To what extent do factors such as the usage of various pesticides, rainfall, temperature, and more impact the number of honeybee colonies as well as honey yield? In modeling honeybee colony decline, can we effectively predict and simulate honeybee production in a given state and/or region?
graph
Report
Presentation
Repository

Project 5: Healthy Food Priority Areas Dashboard

A dashboard built using R Shiny that shows where the City of Pittsburgh should focus its efforts in fighting food insecurity.
hfpa map
Link to Dashboard
Repository

Functional Data Science Skills

Data cleaning and preprocessing
Exploratory data analysis
Data visualization
Machine learning
Deep learning
Natural language processing
Time series analysis
Data storytelling and communication

Languages and Technologies

Python: pandas, numpy, scikit-learn, tensorflow, pytorch, spacy, gurobi, matplotlib, seaborn, geopandas
R: ggplot, dplyr, tidyrverse, R Shiny
SQL: Oracle, Postgres, MySQL
GIS: ArcGIS, QGIS
Data Visualization Tools: Tableau, PowerBI
Other: Microsoft Excel, git

Education

MSPPM Data Analytics,
Carnegie Mellon University, 2023

BS Information Sciences and Technology,
Pennsylvania State University, 2017