Depending on the data available and a client’s needs, we offer exploratory data analysis (EDA) for an unassuming exploration of the data to allow natural patterns to come to the surface and use data-driven visualizations to highlight relationships, outliers, and test underlying assumptions of the data. This analysis is then used as a catalyst to predictive modeling, machine learning, and artificial intelligence.
Our cultural resource teams reinforce the practice-led consulting model by applying expertise in data collection, management, analysis, and presentation to support approaches committed to solving the unique problems present in cultural resource management today. We do this by treating data as a first-class product and not a byproduct of the work we do.
Our team is embedded with specialists in data management and analytics who are adept at not only managing and storing data, but also analyzing it with cutting-edge machine learning and artificial intelligence, with methods ranging from random forest to neural networks.
Data Mining
Cleaning, Anomaly Detection & Data Preparation
Analytics & Metrics
Segments, Aggregates, & Features
Training, Testing, & Validation
Statistics
Vizualization
Data Engineering
ML Algorithms
Statistics
Mary Lennon
Data Scientist
mary.lennon@aecom.com
267.559.6220