Nicole Blok resumes & CV records
Resumes
Lead Data Science Engineer
Location:
San Francisco, CA
Industry:
Retail
Work:
Williams-Sonoma, Inc.
Lead Data Science Engineer Mscripts Sep 2014 - Aug 2017
Lead Data Science Developer Allstate Jan 2014 - Sep 2014
Data Scientist William E. Wecker Associates, Inc. Oct 2009 - Jun 2012
Statistical Consultant and Analyst Hayes, Inc. Jan 2008 - Jul 2009
Medical Research Analyst Children's Hospital Los Angeles (Chla) 2001 - 2007
Phd Candidate Children's Oncology Group Jul 2000 - Aug 2001
Assistant Statistician Ucsf Jul 1999 - Jun 2000
Research Associate Amgen 1994 - 1997
Research Associate Amgen 1991 - 1991
Summer Research Intern Exogene 1988 - 1989
Bioengineering Laboratory Technician
Lead Data Science Engineer Mscripts Sep 2014 - Aug 2017
Lead Data Science Developer Allstate Jan 2014 - Sep 2014
Data Scientist William E. Wecker Associates, Inc. Oct 2009 - Jun 2012
Statistical Consultant and Analyst Hayes, Inc. Jan 2008 - Jul 2009
Medical Research Analyst Children's Hospital Los Angeles (Chla) 2001 - 2007
Phd Candidate Children's Oncology Group Jul 2000 - Aug 2001
Assistant Statistician Ucsf Jul 1999 - Jun 2000
Research Associate Amgen 1994 - 1997
Research Associate Amgen 1991 - 1991
Summer Research Intern Exogene 1988 - 1989
Bioengineering Laboratory Technician
Education:
University of California, Santa Cruz 2013
Cloudera University 2013
University of Southern California 2001 - 2007
Doctorates, Doctor of Philosophy, Epidemiology The Ohio State University 1997 - 1999
Master of Public Health, Masters, Epidemiology The Collins College of Hospitality Management at Cal Poly Pomona 1988 - 1993
Bachelors, Bachelor of Science, Chemistry
Cloudera University 2013
University of Southern California 2001 - 2007
Doctorates, Doctor of Philosophy, Epidemiology The Ohio State University 1997 - 1999
Master of Public Health, Masters, Epidemiology The Collins College of Hospitality Management at Cal Poly Pomona 1988 - 1993
Bachelors, Bachelor of Science, Chemistry
Skills:
R, Statistics, Data Analysis, Sas, Python, Machine Learning, Big Data, Data Mining, Sql, Statistical Programming, Programming, Bioinformatics, Predictive Analytics, Logistic Regression, Genomics, Unix, Analytics, Hadoop, Java, Epidemiology, Regression Analysis, Snp Genotyping, Statistical Sampling, Mapreduce, Markov Chain Monte Carlo, Hypothesis Testing, Randomization, Sensitivity Analysis
Certifications:
Stanford University Through Coursera Inc.
Machine Learning
Machine Learning