Kwamata: A Data Science Consultancy, Startups

Kwamata is a cutting edge data science consultancy specializing in business intelligence, social non-profits and applied research. We make data adaptive predictive systems that generate profitable future insights long after delivery! Areas of expertise include: • Architecting predictive systems that reliably handle multiple data rates, types and sources. Hadoop, Solr/Elasticsearch, Python, Spark. • Combining a variety of data types for superior insight: structured numeric, unstructured text, social media, imagery, sensor telemetry, network protocol/algorithmic, etc. Algorithmic machine learning, statistics. • Designing explanatory systems that summarize data and justify predictions. Artificial intelligence, causal inference. * Data wrangling. Python, R, SQL Kwamata also houses several independent start up efforts that regularly force a renewal in our creative data science and systems thinking. Past and current clients include: * The W.K. Kellogg Foundation * Internet Technology Partners (ITP) * The World Bank (as a direct consultant only) * S.A.A.B. (non profit) Kwamata also contributes pro bono time to: * The Workforce Data Initiative (University of Chicago's Center for Data Science and Public Policy) * Harassmap.us (A collaboration between CrisisMappers, Harvard University, MIT and UCLA) * The Deloitte Center for Government Insights (Deloitte) Skillsets offered: * Machine Learning: Scikit-learn, Pandas, R, Vowpal Wabbit, Robust Statistics, Digital Signal Processing, Control Systems * Distributed Architectures: Redis, Spark, Concurrent distributed processing, Machine Learning architectures * Big Data: ElasticSearch, Hadoop, Pig/Hive, SQL, Pentaho Kettle * Programming: Python, Scala/PySpark, C/C++, C#, Scala, Javascript * Reverse Engineering: Protocol Analysis, Fuzzing, Wireshark, Assembly, CNE, Reverse Engineering * Cryptocurrency: Blockchain protocols