Viper Analytics offers complete Data Architecture, Data Management, and Data Analysis.

  • Proficient on SQL and No-SQL architectures (MySQL, MSSQL, MongoDB, MariaDB)
  • Professional analytics support on major frameworks, including R, Tableau, RapidMiner, and SAS
  • Complex data structure support, both structured and unstructured data
  • Expert integration of ElasticSearch and other fast search technologies
  • Custom programming interfaces available for machine-to-machine transactions
  • Secure data backup strategies included
  • Compliant with Federal Government security requirements and guidance
  • Numerous data analysis capabilities are available, including Natural Language Processing (NLP) and bulk language translation
  • High security data management available

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.