Cambridge, Massachusetts, United States
At Metrika we're helping financial institutions accelerate their digital assets journey through our end-to-end risk management platform.
Held weekly lab sessions for the following Master of Science in Analytics classes http://www.analytics.northwestern.edu/index.html): -- MSiA 431 Big Data Analytics (Spring 2014-2018): Course covered variety of topics and tools in big data, with emphasis in Hadoop, unstructured data concepts (key-value) and MapReduce technology. Other tools included Spark, Pig, Hive and HBase. -- MSiA 423 Analytics Value Chain (Winter 2018): Course taught future data scientists the essentials for moving a machine learning based solution from POC to production as well as design of experiments. -- MSiA 490 Text Analytics (Fall 2018): This course taught computational techniques for analyzing unstructured text such as that found in emails, text messages, conversation transcripts, web pages etc. -- MSiA 411 Data Visualization (Spring 2014): Curriculum was focused on Tableau and R.
-- Developing algorithms for large-scale online and offline machine learning settings. I have worked extensively with Hadoop MapReduce and Spark. -- A more recent project focused on analyzing millions of transactions from Venmo, the most popular P2P payment service, to predict individual customer behavior.
Employed unsupervised learning techniques to detect anomalous trading patterns. The resulting algorithm was used to identify various kinds of market manipulation practices.
Course: Introduction to Optimization Held weekly office hours and lab sessions.