Analyze and model structured data using advanced statistical methods
Implement algorithms and software needed to perform analyses.
Build recommendation engines, spam classifiers, sentiment analyzers, classifiers for unstructured and semi-structured data
Analyze data using R, Python, Java, open source packages and commercial/enterprise applications.
Cluster large amount of user generated content
Process data in large-scale environments, in Amazon EC2, Storm, Hadoop, Spark
Interface with databases (SQL, NO SQL, HDFS) to extract, transform and load data
Perform machine learning, natural language, and statistical analysis methods, such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and validation methods.
Drive client engagements focused on Big Data and Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management.
Communicate results and educate others through reports and presentations.
Performance explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patterns