CHRIS MILES
Data Scientist
Pacifica,CA
Summary
I am a data scientist formally trained in applied mathematics (MS) and physics (PhD) with an expertise in optimization, time-series analysis, and forecasting. I have over 10 years of experience with scientific computing projects primarily in Python and R.
Overview
12
12
years of post-secondary education
7
7
years of professional experience
Work History
Data Scientist
Big Data Federation
Santa Clara, CA
04.2019 - Current
- Forecasted company financial fundamentals such as revenue and earnings per share for publicly traded companies to inform trading strategies using tree-based models and statistical time-series models.
- Developed stock trading strategies by forecasting stock price movements using probabilistic graphical models and genetic algorithms.
- Used random matrix theory methods for detecting signal from noise in the feature selection process and for de-noising techniques.
- Applied quadratic programming optimization methods to portfolio asset allocation.
- Involved with entire machine learning pipeline from data wrangling, data cleaning, modeling, and writing code in production.
- Built R packages for internal tooling which involved implementing automated unit tests and using version control with git.
- Developed visualizations and dashboard using Shiny and ggplot2 libraries to present results to management team.
Data Science Fellow
Metis
San Francisco, CA
01.2019 - 03.2019
- Developed 5 data projects, focused on business-applicable outcomes, as part of a 3-month immersive program covering statistical modeling and machine learning techniques, using Python and SQL.
Graduate Student Researcher
University Of Michigan
Ann Arbor, MI
09.2012 - 05.2018
- Discovered how to efficiently mix a dye within a fluid by choosing optimal fluid stirring strategies through optimal control theory approaches which contributed to the broader understanding of fundamental fluid processes.
- Built fluid simulations from scratch in numpy which involved implementing finite difference and spectral methods for solving fluid equations.
- C. J. Miles, C. R. Doering, Diffusion-limited mixing by incompressible flows, Vol 31, Issue 5, Nonlinearity, 2018.
Education
Ph.D. - Physics
University Of Michigan
Ann Arbor 09.2012 - 05.2018
Master of Science - Applied Mathematics
University Of Michigan
Ann Arbor 09.2012 - 01.2015
Bachelor of Science - Physics
Massachusetts Institute Of Technology
Cambridge, MA 09.2006 - 05.2010
Skills
Python
undefinedPersonal Projects
Kaggle Competition: Conway's Reverse Game of Life (placed top 4%)
- Goal is to generate a starting state that when evolved forward in time, according the rules of John Conway's Game of Life, closely matches the given final state — thus reversing the game of life in a sense.
- Created a model with an average cell accuracy of 96.5% of the evolved final state from proposed starting states across 10,000 games. Model placed in top 4% on public leaderboard with over 180 competitors.
- Used simulated annealing optimization with the help of GPU computation in pytorch to parallelize the evolution of a thousand games simultaneously at each iteration of algorithm.
Timeline
Data Scientist
Big Data Federation
04.2019 - Current
Data Science Fellow
Metis
01.2019 - 03.2019
Graduate Student Researcher
University Of Michigan
09.2012 - 05.2018
Ph.D. - Physics
University Of Michigan
09.2012 - 05.2018
Master of Science - Applied Mathematics
University Of Michigan
09.2012 - 01.2015
Bachelor of Science - Physics
Massachusetts Institute Of Technology
09.2006 - 05.2010
Similar Profiles
Owuraku Q. QuaysonOwuraku Q. Quayson
Junior Fullstack Developer (NSS) at Big Data Ghana LimitedJunior Fullstack Developer (NSS) at Big Data Ghana Limited
Dongjun KimDongjun Kim
Senior Research Engineer at LG Display AI/Big Data Analysis TeamSenior Research Engineer at LG Display AI/Big Data Analysis Team
Demetrios TzortzisDemetrios Tzortzis
Director, Industry Strategy & Solution Engineering – CPG & QSR at Acxiom – Big data & technologyDirector, Industry Strategy & Solution Engineering – CPG & QSR at Acxiom – Big data & technology
Jacqueline AuerbachJacqueline Auerbach
Registered Nurse/ Charge Nurse, ICU at Seton Medical CenterRegistered Nurse/ Charge Nurse, ICU at Seton Medical Center
Kimberly LerohlKimberly Lerohl
Office Assistant at Mountain View Community DevelopmentOffice Assistant at Mountain View Community Development