Highly motivated Ph.D. student with a strong analytical background and experience in applied
mathematics, machine learning, big data and statistics
Skills:
Machine Learning and Statistics:
Experimental design, classification, clustering, regression and model selection, hypothesis testing and confidence intervals, dimensionality reduction
Big data tools:
Map Reduce (Hadoop), ETL (Pig and Hive), Apache Mahout, Amazon Web Services.
Programming Languages and Databases:
Python, R, Java, PHP, MySQL, PostgreSQL and MongoDB
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