Career Highlights

Mike's History

January 2017 - Present (10 Months)

TalentSky, Inc.

Roles
1
Moments
5
Skills
6

January 2017 - Present (10 Months)

Data Scientist, Big Data

San Francisco, CA, US

January 2016 - December 2016 (1 Year)

Independent Consultant

Roles
1
Moments
0
Skills
0

January 2016 - December 2016 (1 Year)

Data Scientist, Big Data

San Francisco, CA, US

• Real Estate Predictive Intelligence Client: Built a predictive model to determine the likelihood of a homeowner moving with a Random Forest classifier. • Energy Analytics Client: Using k- nearest neighbors, developed a time series disaggregation al- gorithm which deals with the disaggregation of individual energy appliances from the aggregate time series energy consumption data collected from a smart power meter. • Professional Talent Management Client (Talent Sky): Developed a search ranking algorithm which deter- mines the best candidates for a specific job query of desired skills. The algorithm takes into account the importance level and the proficiency level of the skills queried by applying a dy- namic statistical exponential decay penalty. The search ranking algorithm was prototyped in Python and deployed via ElasticSearch. Researching and developing recommendation systems for client’s professional talent management platform.

April 2015 - July 2015 (4 Months)

Galvanize

Roles
1
Moments
0
Skills
0

April 2015 - July 2015 (4 Months)

Data Science Fellow

San Francisco, CA, US

• Completed a 1000+ hour intensive data science fellowship covering statistical analysis, machine learning, software engineering, and working with data at scale. • Built neuralArt.io, an application to classify fine art paintings that could identify a painting’s artist and its genre (portrait or landscape) with 80% F1 score. Project involved scraping 2,000+ high-resolution paintings, building an image pipeline to perform image feature extractions & transformations, modeling & testing various supervised learning models such as Neural Networks, and building a web application. • Practiced applying state-of-the-art data science techniques to real-world data sets, including supervised and unsupervised machine learning, dimensionality reduction, and natural language processing. • Built a fraud prediction model for an event ticketing site with a boosted tree classifier, and developed movie recommendation system for users.

September 2012 - March 2013 (7 Months)

Valencell

Roles
1
Moments
0
Skills
0

September 2012 - March 2013 (7 Months)

Data Modeling Analyst

Raleigh, NC, US

• Mined Valencell’s biometric database for useful time-correlated metrics and developed bioinfor- matic models that correlate time-correlated metrics with selected health and fitness assessment. • Implemented regression and neural network models through MATLAB to design predictive stride length models and speed models for runners. • Discovered the necessity for creating seperate predicitive stride length models for trail running versus road running.

September 2013 - September 2014 (1 Year, 1 Month)

University of Oxford

Areas of Study
1
Moments
0
Skills
0

September 2013 - September 2014 (1 Year, 1 Month)

MSc/ Applied & Computational Mathematics

Oxford, England, United Kingdom

The MSc course provides extensive training in numerical linear algebra, numerical analysis of ODEs and PDEs, ODE and PDE boundary value problems and finite element methods. The case studies in mathematical modelling and scientific computing have equipped me with the tools necessary to take a well-posed problem from its initial state through its mathematical formulation and analysis to the stage where both qualitative and quantitative results can be found. For my master’s dissertation, I worked on a research project in Ice Sheet Flow Modelling. For the project, I implemented finite element methods to solve the Blatter-Pattyn equations on a continental scale and employed adjoint methods combined with inverse optimization to infer the basal friction underneath an ice sheet.

August 2008 - May 2012 (3 Years, 10 Months)

Duke University

Areas of Study
1
Moments
0
Skills
0

August 2008 - May 2012 (3 Years, 10 Months)

BS/ Mathematics

Durham, NC, US

My undergraduate career was heavily focused in Applied Mathematics and Mathematical Modeling. I also took extensive coursework in computer science and chemistry for my own intellectual curiousity.