Professional lnfo

 

I am a behavioral scientist with expert analytic skills and academic training. I use a combination of software engineering, statistical computing, and business acumen to strategize, develop, and execute business goals. 

My training in behavioral psychology (Ph.D) and computational statistics (MS), allows me to develop repeatable automated processes to grow top line and optimize bottom line growth. 

I am experienced in Credit Risk Analytics (model development, portfolio optimization, credit acquisition) and Marketing (digital PPC strategy and optimization, social network analytics, direct response mail and TV).

 

I build cohesive research programs within the technology financial space. 

Skills

Work

experience
 

Adjunct Professor - University of Miami
​August 2018 - present

I teach statistics to undergraduate juniors in seniors in the department of  psychology.

Adjunct Professor - Florida International University
​August 2018 - present

I teach statistics to undergraduate juniors in seniors in the business school.

Director of Data Science - Idea Financial
​February 2018 - present

I apply data science methods to projects arising via the field of business finance. I use advanced statistics and business strategy to grow the next largest business lending and technology platform.

Adjunct Professor - Florida Atlantic University
​August 2015 - present

As a statistics professor at Florida Atlantic University, I prepare and present lectured presentations to an undergraduate course, review course material (e.g., research methodology, central tendency, sampling distributions, hypothesis testing, chi-square tests, t-tests, ANOVA, regression, etc.), demonstrate statistical computing where appropriate, and prepare and grade written examinations.

Lead Data Scientist - FlexShopper
​October 2014 - February 2018

I apply data science methods to projects arising via the field of consumer finance. Data munging, scraping, cleaning, credit risk modeling, decision trees/random forests, hypothesis testing, graphical representation, algorithm training, machine learning techniques, and the like are employed routinely in day to day operations.

Data Scientist - Levatas
​May 2014 - October 2014

 

I apply data science methods (i.e., advanced analytics and database processing), applied psychology, and classic and contemporary research methodology to matters of consumer behavior. I collect, process, analyze, interpret, publish, and present original research to inform internal and external team efforts.

 

 

Researcher - The University of Tennessee
​2010 - 2014

 

My research examines social factors and decision-making. My work is firmly supported in my experimental methods, sophisticated statistical modeling, and social psychological theory. I present findings at international conferences and informal gatherings. I mentor several aspiring research scientists and often collaborate with other advanced psychological researchers.

  • Design, organize, and implement controlled laboratory and web-browser based studies

  • Supervise and train others to collect data (approximately 10-15 research assistants per academic semester)

  • Analyze data using the most sophisticated modeling techniques available

  • Report findings in academic journals, professional conferences, and within formal and informal talks

 

 

Instructor - The University of Tennessee

​2013-2014

 

My obligations as an undergraduate instructor included preparation and presentation of lectured class topics to an undergraduate course, review of  course material (e.g., research methodology, central tendency, sampling distributions, hypothesis testing, chi-square tests, t-tests, ANOVA, regression, etc.), preparation/ grading written examinations and holding office hours for individualized instruction.

The University of Tennessee
2010 - 2014

Ph.D. in Experimental Psychology

 

The University of Tennessee
2012 - 2014

M.S. in Statistics

 

The University of Tennessee
2010 - 2012

M.A. in Experimental Psychology

 

Florida Atlantic University
2007 - 2010

B.A. in Honor's Psychology - summa cum laude

Education
  • Machine learning through routine employment of existing methodology to custom algorithm development
  • Predictive analytic modeling using advanced statistical techniques; specifically:
    • Multi-level Modeling (Hierarchical Linear Modeling; Mixed Modeling; Random-Effects Modeling; GLMM)
    • ANOVA/Least Squares Regression
    • Logistic Regression (Categorical data analysis)
    • Structural Equation Modeling (SEM) (including measurement modeling)
    • Multivariate data analysis (Cluster analysis, Discriminant analysis, Factor analysis, etc.)
    • Time-series analysis
    • Actor-Partner interdependence modeling
  • Data Mining – Database Management (SQL/Text/Structured objects, etc.)
  • Psychometrics (scale development, validation, testing, and analysis) / Measurement modeling
  • Research Methodology and development, specifically:
    • Full and Fractional Factorial design
    • Web experimentation
  • Survey construction, survey methodology, data collection, and analyses
  • Interpretation and communication of empirical research findings
  • Public speaking and written presentations
Software Suites/Languages
  • R Computing: programming  / data-management / statistical analysis

    • ​Execute data analysis, write codes, merge/purge/ and split data, and do ad hoc queries

    • Data preparation, cleaning, manipulation, and visualization

    • Create and consolidate reports through the development of standard scripts

  • SAS (v9.2-v9.3): programming / data-management / statistical analysis (SAS Statistics 1 and 2)​

    • Same as above R skills

  • Python​

  • MongoDB / NoSQL solutions

  • MySQL DBMS (ANSI level standards)

  • Google AdWords Certified

  • Google Analytics 

  • Sisense/Tableau dashboarding

© 2014 by Joseph Salvatore.

Call

T: 561.281.6273 

Contact

joe@jsalvatore

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