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Analyzing Prime-Sub Relationships for 'Aircraft Parts' in Federal Spending Data
Working in MySQL, enriching data from the Federal Government's System for Award Management (SAM)
A customer's custom data analysis app that monitors Twitter's live stream, performing Natural Language Processing and Sentiment analysis.
Working with FPDS data in Tableau 10, seeking to forecast spending trends in Scientific and Technical Services.
Employing Basic Algorithm to Determine Event Time Probability
Using NLTK in Python with custom classifier to extract named entities from news articles in a data pipeline.
Using R to analyze the increase in new federal contractors registering as biotech research firms.
Using RapidMiner and Viper Analytics' enriched data sets to understand and forecast federal spending trends in biotechnology.
Visualizing federal spending awards in custom programming using D3.js and provided examples.
Using spaCy in Python with default classifier to extract named entities from news articles in a data pipeline.