Data Science Engineer

Sommaire professionel

TECHNICAL SKILLS  Big Data Technologies: MapReduce, HDFS, Hadoop, Spark, Databricks, BigQuery, Dataflow, Apache Beam, Scikit Learn, Keras, Tensorflow, GraphX, Pregel, AWS, Pyspark, Pandas, Numpy, Plotly, Dplyr.  Programming Languages: Python, Scala, SQL, R, JAVA, J2EE, C, C++.  Professional Software: My Eclipse, SVN Tortoise, WinSCP, GIT, Jenkins, Toad, webMethods, Crucible, Clearcase, Oracle SQL Developer, MySQL, PostgreSQL, MongoDB, Crystal Reports, Tableau, Alteryx Designer, IBM ICPD, Elasticsearch, Logstash, Kibana, Dryad, Hubble, Eider, Redshift, S3.  Machine Learning: Classification, Regression and Clustering techniques.  WEB: JSP, Struts, Servlets, Web Services, PHP, HTML. EDUCATION University of Waterloo, Waterloo, Canada Sept 2017-Aug 2019 MMath in Computer Science- Data Science Specialization Relevant Coursework: Machine Learning, Statistics for Data Science, Data Intensive Distributed Computing, Exploratory Data Analysis, Data Structures and Standards, Text Analytics. Graduate Research Studentship (Spring 2019) and Millennium Graduate Bursary (Spring 2018) for Academic Excellence. Thapar University, Patiala, India Jul 2011-Jul 2015 B.E in Computer Science & Engineering 100% Tuition Fee Waiver for Academic Excellence throughout the degree. Education: Masters in Computer Sciences

Compétences

Microsoft SQL3 MySQL3 Linux3 Java3 Programming3 Data Mining3 Python3 Data Science3 Microsoft Azure3 Artificial Intelligence3