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PhD - Statistics

University of Texas at Austin

• Conducted cross-disciplinary mathematical research on ‘optimal transportation’ topic
• Developed several results and algorithmic applications for Wasserstein barycenters
• Applied optimal transport concepts to consensus modeling project with Sandia National Labs
• Advisor - Dr. Stephen G. Walker

Masters - Statistics

University of Texas at Austin

• Researched stable distribution theory and implemented MCMC and FFT routines for inference
• Worked on product defect classification project with Freescale, Inc.
• Advisor - Dr. Carlos Carvalho

BA - Plan II Honors

University of Texas at Austin

• Performed well in cross-disciplinary honors program with student profile akin to ivy league
• Wrote undergraduate thesis on advanced topics in mystical philosophies
• Advisor - Dr. Robert King

BBA - Finance, Minor - Supply Chain

University of Texas at Austin

• Studied corporate finance, supply chain management, and general business
• Participated in Brass Rings practicum course with Freescale, Inc.

BS - Applied Mathematics

University of Texas at Austin

• Completed math degree in 1 year in preparation for graduate school

Head of Data and Analytics

Nulixir, Inc.

• Conducted background research and analysis covering business intelligence, product formulation, and marketing, and clinical scientific data for nutraceuticals
• Business intelligence activities involved
  • Researching macroeconomic conditions, particularly conditions affecting the nutraceutical industry
  • Investigating competitor business strategies, technologies, products, and product claims
  • Writing technical reports summarizing competitor technology
• Product formulation research involved
  • Researching evidence for the clinical effects of key active ingredients
  • Reporting potential adverse effects, allergenicity, and toxicity
  • Finding potential product formulation difficulties (e.g., instability, poor taste, etc.)
• Marketing-related activities involved
  • Analyzing Google search and social media data to determine nutraceutical opinion trends
  • Scraping industry data to understand trends in nutraceutical sales
  • Converting scientific data and evidence in simple marketing statements
• Subject matter expert in statistics and data science assisting several projects and business functions
• Developed a rudimentary database for research and formulation purposes
  • Database was developed and implemented in MySQL
  • Data schema design was implemented using sqlalchemy in Python
• Developed API access tools in Python to assistant lab scientists with research
  • Developed wrapper functions for easy access to PubChem’s PUG REST API via pubchempy
  • Designed functions for accessing JSON data from Pubchem’s PUG_VIEW API
  • Implemented functions for downloading and viewing spectroscopy output images for calibrating lab equipment
• Supported internal clinical trials with several data functions
  • Provided experimental design methodology expertise for organizing clinical trial plans
  • Implemented power calculations for sample size planning
  • Developed analytics and data visualization for trial outcome reporting, packaging results into R Shiny app

Lead Content Developer and Faculty

SetCONNECT, Inc.

• Developed materials and content, including assignments, quizzes, projects, and recordings, for several courses
  • Data Analytics with Python
  • Intro to Statistics and Data Visualization in R
  • Business Statistics
  • Predictive Modeling for Real-World Problems
• Developed seminars and introductory courses on statistics for several Indian corporations and educational institutions
  • Indo-American Chamber of Commerce
  • TVS Group
  • Reliance Financial
  • ZF CVS
  • Vedanta Aluminium
  • NITK
• Worked on several data science and analytics projects for clients
  • Warranty cost analysis and predictive modeling for ZF CVS
• Participated in business development strategy and planning, designing core operational tactics for future business directions

Adjunct Faculty

Southern Methodist University

• Taught ‘Doing Data Science,’ an introductory data science course covering the basics of statistics, modeling, and common tech platforms for working professional data science master’s students
• Troubleshooted several issues in the course material related to outdated content
• Assisted on monthly planning meetings to determine scope and design of the data science program

Freelance Consultant

Self-Employed

• Worked with clients, from academia to industry, on a variety of data analysis and modeling challenges
  • Performed analysis estimating genetic content of hybrid plants for Ag Biotech, Inc reducing royalties owed by client by 30%
  • Advised PhD researcher on decision tree methods to better model nonlinear effects present in field data
  • Assisted several PhD researchers on gathering and analyzing survey data
  • Assisted PhD researcher on implementing panel data model for longitudinal data

Research Assistant

University of Texas at Austin - Sandia National Laboratories

• Developed algorithmic routines for consolidating data across experiments into a consensus model, enabling separate modeling of uncertainty within experiments
• Developed benchmark for assessing efficacy of new solutions using previous solution ‘consensus Monte Carlo’
• Implemented two methods for consensus modeling with a flexibility/scalability tradeoff
  • WASP (Wasserstein scalable posteriors) method highly flexible but limited scalability
  • Fixed-point iterative barycenter method limited to location-scale families but highly scalable

Research Assistant

University of Texas at Austin

• Research assistantship working with Dr. Michael Daniels
• Assisted in research extending ‘network meta-analysis’ methods to scenarios with instrumental variables and missing data
• Research involved simulation as well as exploratory implementations with the following
  • JAGS
  • OpenBUGS
  • Stan

Teaching Assistant

University of Texas at Austin

• Assisted on statistics courses ranging from introductory to graduate level
• Ran computer lab sessions on R for students which involved
  • presenting and explaining R code
  • directing undergraduate teaching assistants
  • aiding students with statistical difficulties and computer issues
• Managed undergraduate teaching assistants for large classes delegating tasks and establishing protocols for
  • grading student assignments and quizzes,
  • tutoring students
  • reporting issues in grading and student performance
  • managing and reporting timecards

Short Course Instructor

University of Texas at Austin

• Taught week-long introductory course on R, developing examples for instruction and balancing basic and advanced concepts for diverse audience needs
• Directed undergraduate assistant instructors, reviewing code and content before each class and setting guidelines for aiding students with statistical and computer related issues

Research Assistant

University of Texas at Austin - Freescale Semiconductors, Inc.

• Worked on product quality analysis, narrowing scope to an unsupervised clustering problem, helping identify systematic product defects
• Implemented spectral dimensionality reduction preprocessing step for more efficient computation
• Developed unsupervised, latent cluster allocation method and a mixture model for modeling defect patterns
  • Implemented a ‘distance-dependent Chinese restaurant process’ for learning product defect patterns
  • Used Bayesian hyperparameter estimation for tailoring algorithm performance
  • Employed a Gaussian mixture model to model defect patterns on wafer within each identified cluster
  • Solution mitigated the need for engineer labor in identifying product defects, saving 100+ hours per product line

• National Merit Special Scholarship (Corporate Sponsor Unilever)
• Walter B. Smith Jr. Undergraduate Scholarship
• University Honors (9 semesters)

• Eva Stevenson Woods Endowed Presidential Scholarship