Michael Penkov

michael.penkov@gmail.com

Data Scientist with a strong professional Software Engineering experience.

Education

2010-2015

PhD, Information Science and Technology; Hokkaido University (Sapporo, Japan)

Thesis title: Estimating Video Authenticity via the Analysis of Video Quality and Video Structures

2002-2006

BEng, Software Engineering; University of New South Wales (Sydney, Australia)

Professional Experience

Data Scientist at Profound Networks (2012 to present date)

• Actively led a team to rapidly develop a system for gathering business intelligence via the Web.

• Implemented and enforced baseline code and documentation quality levels.

• Developed machine learning solutions for Web domain classification & postal address extraction.

• Developed an ElasticSearch-based internal search system.

• Received an "Outstanding Developer Achievement Award" for the above efforts.

Software Engineer at Canon Information Systems Research, Australia (2005 to 2010)

• Awarded for an effective demonstration of Canon technology at a conference.

• Authored 3 patents with the Australian patent office.

Skills

Programming Languages

Python: my primary tool for development and data analysis. Closely familiar with the standard library, as well as nltk, libsvm, requests and others. I'm very passionate about Python, and frequently attend PyCon conferences around the world.

R: used to complement my Python skills.

Intermediate knowledge of C, bash and other command-line tools.

Open Source

I've contributed to ffmpeg, smart_open, flake8, pandas and piexif. See my github profile for a full list.

Languages

Native speaker of English and Russian

Business-level proficiency in Japanese (JLPT Level 1)