EDUCATION
BA Psychology
UC Irvine
MS Statistics
CSU Fullerton
PROFESSIONAL
SKILLS
Research Design
Survey/Scale Development
and Validation
Database Management
Data Analysis
(Statistical Modeling and
Machine Learning)
Web Design
Data Visualization
Interpretation and
Presentation of Data
Dashboard Creation
P R O F E S S I O N A L E X P E R I E N C E
Research Assistant
Five Acres / Altadena / 2016 – Present
Analyze clinical data using Excel/VBA, SPSS, and R.
Use inferential statistics to inform senior leadership decision-making
Clinical program evaluation.
Pull, manipulate and summarize clinical data using Oracle SQL. Automate reports with Toad Data Point.
Build Access database: build back-end tables and front-end data entry GUI and automatic reports for clinicians and supervisors.
Mainstream and optimize data processing pipelines.
Mentor research assistants in statistical methods and data analysis. Project Manager
Social Science Research Center / Fullerton / 2015
Create surveys according to objectives of clients
Oversee implementation of surveys through mail or call center
Oversee the collection and scoring/data entry of survey results
Analyse survey results; create narratives of the data meaningful to clients and present through reports and/or powerpoint presentations.
Analysis of CSUF internal data for the Office of the Provost P R O F I L E
I have extensive experience using statistics and machine-learning to find actionable insights in data and then presenting those insights with dashboards, written reports and slide decks. I am also an excellent public speaker and a dynamic presenter. 626. 524. 5537
**************@*****.***
in/greg-johnson-stats
gregjstats.squarespace.com
Pasadena, CA
S T A T I S T I C I A N & D A T A W H I S P E R E R Greg Johnson
github.com/lgjohnson
R E F E R E N C E S
Data Analysis:
Mastery of: R, VBA, SPSS
Proficient in: Python, Julia, SAS
Learning: Java
Specialized Data Analysis:
Proficient in: WinBUGS, EQS,
flexMIRT
Learning: TensorFlow
Database:
Proficient in: Access, Oracle
SQL, Toad
Big Data:
Learning: Hadoop, Spark
Web Design:
Familiar with: HTML/CSS,
Javascript, JQuery
OS
Proficient in: Windows, Mac
Learning: Linux
A N A L Y T I C S
Categorical Data Analysis
Odds ratios, contingency tables, loglinear and logit models, correspondence analysis
Linear Models and Extensions
General (OLS, ANOVA, MANOVA), generalized (logistic, Poisson, NB, etc.), multilevel (mixed effects), penalized (lasso, elastic net), GAMS and MARS
Biostatistics
Survival Analysis, Gene Shaving, Biclustering
Statistical Programming
Numerical integration, nonlinear and combinatorial optimization, bootstrapping, EM algorithm, MCMC for Bayesian applications
Time-Series & Spatial Statistics
Box-Jenkins, SARIMA, geostatistics, analysis of Lattice data and Point Processes
Covariance Structure Analysis
Canonical Correlation Analysis, Confirmatory Factor Analysis, Structural Equation Modeling
Machine Learning
Random Forests, Support Vector Machines, Discriminant Analysis, Cluster Analysis, Deep Learning (fully-connected, Bayesian, and Convolutional neural nets)
Dimension Reduction & Latent Variable Models
Principal Components Analysis/Regression, Partial Least Squares, Projection Pursuit, Exploratory Factor Analysis, Gaussian Mixture Models
(LCA & LPA)
Psychometrics
Scale Development & Validation, Item Response Theory INTERESTS
Rock Climbing
Cooking
Pure Math
TECHNICAL SKILLS
PROJECTS
Spatial Analysis of
California UFO Sightings
Using Bayesian Neural Nets
to Classify Nonlinear Data
Five Acres: Predicting
Foster Home Placement
with Random Forests
Black Swan Consulting:
Logo Recognition Algorithm
**The write-ups for these projects
and more are on my Github
Mo r t aza Jamsh i d i an
Pro f essor o f St a t i s t i cs
800 N State College Blvd, Fullerton
INSERT HERE
****@*********.***
Jona t han Wong
Da t a Ar ch i t ec t
760 W Mountain View St, Altadena
INSERT HERE
Sam S i r a f i
Da t a Sc i en t i s t
26170 Enterprise Way, Lake Forest
***.******@*********.***
Ka t he r i ne Tsa i
Resea r ch Di rec tor
760 W Mountain View St, Altadena
626-***-**** x3145
*****@******.***