Resume

• 2014

  Master's Degree

  Related Courses: Data Mining

  Machine Learning

  Monte Carlo Methods

  Biostatistics

  Univariate and Multivariate Modeling

  Bayesian Statistics

  Clinical Trial data analysis with R and SAS

  Construction of Linear Models with R and SAS\nRelated Projects: \nData Mining Project: utilized Random forest and Boosting algorithms in R to predict pathological heart function in infants using data from cardiotocography scan; final model resulted in 0% pathological heart function predicted as benign.\nData Analysis Methods Project: utilized nonlinear mixed effect biexponential model to accurately model pharmacokinetic data on alcohol/blood sugar metabolism. \n

  Statistics

  San Diego State University-California State University

  Neural Networks and Deep Learning

  Coursera

• 2010

  Mathematics/Economics

  Related Courses: Numerical Methods

  Linear Algebra

  Econometrics

  Linear Modeling

  Applied Probability

  Analyzed data with C++

  STATA

  Minitab

  and Excel.\nRelated Projects: \nExploratory Data Analysis Project: collected data on all transfers to CSU

  UC

  Private/Out of State from Fullerton College for 2003-2010

  constructed two-way tables to observe how various factors affected college based on demographic and socioeconomic status

  major

  and other miscellaneous metrics

  Computational and Applied Mathematics

  UCLA

• 2007

  AA Mathematics

  Economics

  Officer for Alpha Gamma Sigma: Treasurer/Secretary 2008-2010\nActive member of Phi Beta Lambda

  Fullerton College

• UCLA Volunteer Day

  Data Architect and Supervisor

  Annual food and toy distribution program for underprivileged families in La Mirada

  CA. \n\nResponsibilities include: construction and monitoring of Excel spreadsheet data and basket size allotment for each food and toy group

  training of new volunteers

  optimization of work flow.

  La Mirada Volunteer Center Holiday Basket

  LaTeX

  Statistical Data Analysis

  Github

  Analytics

  Economics

  Microsoft Excel

  Statistics

  Mathematics

  SAS Programming

  Biostatistics

  Machine Learning

  TensorFlow

  Data Analysis

  Python (Programming Language)

  R

  Microsoft Word

  Microsoft Office

  C++

  Data Mining

  Quantitative Analytics

  Frick

  Andrew

  Tutor Zone

  UCLA AAP

  Self-Employed

  Trio Health

  Inc.

  WyzAnt Tutoring

  UC San Diego Health

  Self-Employed

  SDSU

  Whittier

  CA

  Supervise team of 10 math tutors assisting over 200 students

  ensure effectiveness for instruction and motivation of team members; train tutors in effective teaching methods and understanding of source material. \nDesigned summer reading program for students to improve literacy

  competency and reading levels; led creation of SAT prep program

  developed curriculum for implementation at local high schools.

  Tutor

  Tutor Zone

  Greater San Diego Area

  Practicum Course in Consulting through SDSU. \nMonthly clients varying from Masters students to industry research. Conference sessions with clients and classmates guided by professor to determine the optimal methods for the client. Methods used include every graduate level statistics course\nProfessional reports and presentations given to client at culmination of each project.\nData analysis completed using SAS

  including ANOVA

  linear and nonlinear modeling

  mixed effects models

  ANOVA

  2-way tables

  longitudinal data

  and clinical trial data.

  Consultant

  SDSU

  San Diego

  California

  Research oriented statistician

  specializing in longitudinal HIV studies\n\nConsult with UCSD research physicians on study design

  and write statistics plans and power analyses for R01 and R21 grants\n\nUtilize Bayesian and Frequentist mixed effects models

  both linear and nonlinear with R. \n\nAppointed as statistician for Safety Monitoring Committee for ongoing clinical trials \n\nGenerate reproducible tables and plots using R Markdown for LaTeX pdfs and Microsoft Word docx files\n\nDesign algorithms for merging data with missing/unaligned dates using R tidyverse\n\nPerformed ongoing QC of REDCap longitudinal databases containing clinical data for studies from 1996 through present day\n\nPulled data requests for Investigators

  merging various data sets and filtering by desired criteria\n\nDeveloped training program for incoming statisticians\n\nMentored several junior investigators in figure design and style with ggplot2\n\nCreated and maintain R package `AVRCHelp` to assist with data management and report generation

  Statistician

  UC San Diego Health

  Greater San Diego Area

  I currently maintain my own R-Package 'ajfhelpR' on Github

  compiled with Roxygen and includes 2 vignettes for function usage. The package contains a variety of functions I've found to be indispensable while creating reproducible reports with knitr in R. \n\nI'm in the process of learning to code neural networks from scratch in python

  and do more elegant real-time networking analysis in both R and Python. \n\nAnd then in my free time

  I like to look at trends and analyze data related to a variety of topics. Currently I've created 2 Rshiny apps related to college sports wins over time by conference (on my GitHub). And I'm working on some others dashboards for dynamically pulling video game leader-board data and summarizing metrics related to Overwatch

  World of Warcraft

  and Heroes of the Storm.

  Freelance Data Scientist

  Self-Employed

  Greater San Diego Area

  \"Start to Finish\" Analytics consulting

  including Data QC

  study design/analysis plans tailored to client's needs. \n\nConsult with clients and guide them towards the best analysis methods and data classification strategies to assist in meeting their goals.\n\nWrite data QC summary reports detailing inconsistencies outliers in data

  and develop plans to address issues in a systematic manner.\n\nPerform analyses as requested by clients

  including machine learning

  clinical bio-statistics

  and non clinical statistical methods.\n\nSummarize findings in iterative reports with clients to ensure goals are on track and objectives are being met.

  Analytics Consultant

  Self-Employed

  UCLA

  Applied classroom and mentoring techniques to teach groups of two students the principles of Linear Algebra.\nPrepared students for midterms and final examinations; coordinated meeting times for weekly sessions and intensive three hour review sessions..

  Peer Learning Facilitator

  UCLA AAP

  San Diego

  Meet with high school and college students one on one

  focus on presenting and teaching advanced math concepts directly by exerting effective communication; managed up to 18 students simultaneously

  applying effective and varying teaching methodologies for each. \nPartner directly with working professionals 30+ years removed from school; assisted earning A in calculus. \nReceived positive feedback from 100% of clients

  acknowledged for holistic teaching approach; resulted in 30% of new clients being client referrals.\n\n5.0 out of 5 average rating for over 200 ratings

  Instructor

  WyzAnt Tutoring

  Greater San Diego Area

  Analyst

  Trio Health

  Inc.

  Spanish

  English