Matthew Corsetti

Matthew Corsetti

Teaching Assistant

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location of Matthew CorsettiRochester, New York, United States

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  • Timeline

  • About me

    Senior Associate Data Scientist (R&D) at Travelers

  • Education

    • Rochester Institute of Technology

      2013 - 2015
      Master of Science (M.S.) Applied Statistics 3.90/4.00
    • University of Rochester

      2017 - 2021
      Doctor of Philosophy (Ph.D.) Statistics
    • University of Rochester

      2016 - 2017
      Master of Arts - MA Statistics
    • University of Rochester

      2008 - 2012
      Bachelor of Arts Statistics

      - Clusters in Economics and English- Certificate of Actuarial Science

  • Experience

    • University of Rochester

      Jan 2011 - May 2011
      Teaching Assistant

      Aided Professor Nicholas Zaino with a course that teaches descriptive statistics, statistical analysis, and statistical inference as used in the social sciences with a focus on elements of correlation, regression, and analysis of variance. Held weekly office hours and recitations to aid students in reinforcing statistical knowledge and processes taught in class by Professor Zaino. Was responsible for the weekly grading of fifty students’ homework assignments and then electronically entering the grades for Professor Zaino. Show less

    • AXA Advisors

      May 2011 - Sept 2011
      Financial Adviser Intern

      • Assisted in financial consultation and a variety of other projects including converting shares in clients' portfolios to higher share classes and identifying ETF's and mutual funds that catered to clients' needs using a variety of investment research tools and software.

    • Xerox Corporation

      May 2013 - Jul 2015
      Human Resources Workforce Analytics Intern

      • Conducted routine and ad hoc reporting for HR Business Partners including attrition and recruitment analysis, workforce growth modelling, employee survey analysis, EEO-1 diversity reporting and various statistical analyses with a five-member team• Led project in which corporate HR global vendor spend data from 67 countries was acquired, cleaned and analyzed so as to identify areas of highest vendor spend within HR and to detect instances of overlapping vendor spend across countries• Created programs in Excel and R to automate the process of generating lengthy reports from rosters produced from Cognos 8• Designed a scorecard to assess the diversity performance of suspect and prospective candidate pools for executive level positions Show less

    • Rochester Institute of Technology

      Aug 2014 - May 2016
      Graduate Teaching Assistant

      • Assisted Dr. Joseph Voelkel with course that teaches intermediate R and SAS programming to approximately 60 students• Assisted Dr. Robert Parody with a course that teaches design of experiments for engineering students

    • University of Rochester Medical Center

      Aug 2016 - Aug 2021
      Statistics Ph.D. Candidate

      • Developed new machine learning algorithms, specifically adaptations of the Random Subspaces Method, Random Forests, and Gradient Boosting with novel weighting strategies for feature subset selection.• Worked as an NIH T32 Environmental Health Trainee under the guidance of Dr. Sally Thurston, Dr. Tanzy Love, and Dr. Edwin van Wijngaarden. Researched environmental factors that may modulate associations between mercury exposure and child development for the Seychelles Child Development Study.• Assisted Dr. Xueya Cai with a graduate-level course that covered probability and probability distributions, sampling distributions, statistical inferences from small and large samples, analysis of categorical data, analysis of variance, correlation and simple linear and non-linear regression analysis.• Assisted Dr. Matthew McCall with a course designed to provide graduate students with an in-depth introduction to programming in R and SAS, visualization, reproducible research, collaborative coding, and command line tools.• Assisted Dr. Tanzy Love with a graduate-level applied linear regression course that covered: simple and multiple linear regression, ANOVA, ANCOVA, linear mixed effects models, non-linear models, etc. Show less

    • Travelers

      Jun 2020 - Aug 2020
      Data Scientist Intern

      • Constructed and validated statistical machine learning models for Business Insurance Analytics and Research team for the purpose of predicting web presence status of new business• Carried out extensive statistical analysis of new business data including exploratory data analysis,feature-engineering, model-building and performance assessment• Constructed a model for predicting probabilities of web presences for new business resulting in approximately $45,000 worth of increased efficiency in Traveler's annual expenditures on outside vendors Show less

    • Travelers

      Sept 2021 - now
      Senior Associate Data Scientist
  • Licenses & Certifications

    • Xerox Lean Six Sigma Yellow Belt

      MoreSteam University
      May 2013
    • Actuarial Studies

      University of Rochester
      Jan 2013
  • Honors & Awards

    • Awarded to Matthew Corsetti
      UP-STAT 2019 Best Student Application Presentation, Honorable Mention UP-STAT Conference Organizing Committee Apr 2019
    • Awarded to Matthew Corsetti
      NIH T32 "Training in Environmental Health Biostatistics" Fellowship Ricipient National Institute of Health Jan 2018
    • Awarded to Matthew Corsetti
      UP-STAT 2015 Best Student Methodology and Theory Presentation, First Place The Upstate Chapters of the American Statistical Association Apr 2015
    • Awarded to Matthew Corsetti
      Dr. Edward G. Schilling Endowed Scholarship The John D. Hromi Center for Quality and Applied Statistics at RIT Apr 2013