Alex Ognev, Data Visualization Developer in Chicago, IL, United States
Alex Ognev

Data Visualization Developer in Chicago, IL, United States

Member since July 7, 2020
Alex has 20+ years of experience in software development and data science. He has worked for large companies building enterprise-scale software as well as on small agile teams and solo projects. He's undertaken data analysis, data visualization, and predictive modeling with a heavy emphasis on financial and time-series data over the past decade.
Alex is now available for hire

Portfolio

  • Freelance
    Predictive Analytics, Complex Data Analysis, Data Analytics, Data Science...
  • KCG
    Scikit-learn, Python
  • GETCO
    C++, Java, SQL, MapReduce, Python, C#

Experience

Location

Chicago, IL, United States

Availability

Part-time

Preferred Environment

Jupiter, Spark, Ubuntu, VS Code, RStudio, Windows

The most amazing...

...thing I've developed was the automated arbitrage system that traded simultaneously on US and European exchanges.

Employment

  • Data Scientist and Software Developer

    2017 - PRESENT
    Freelance
    • Developed predictive models for clients using large sets of data.
    • Analyzed data to identify features, trends, correlations, etc.
    • Developed custom software to put machine learning models in production.
    Technologies: Predictive Analytics, Complex Data Analysis, Data Analytics, Data Science, Evolutionary Algorithms, Time Series Analysis, C++, R, Machine Learning
  • Senior Quantitative Trader/Lead Quantitative Trader

    2013 - 2017
    KCG
    • Developed predictive models for a variety of financial instruments.
    • Led a team of junior and experienced traders and researchers, providing mentoring on in-house technology and coordination of effort.
    • Developed a library to simplify research and development of trading strategies that were adopted by the entire team.
    Technologies: Scikit-learn, Python
  • Quantitative Developer

    2008 - 2013
    GETCO
    • Built a library on top of a Hadoop and LSF cluster to provide a scalable quant research environment.
    • Developed a wide range of reporting and data analysis tools for traders and senior managers.
    • Helped multiple trading teams launch new strategies by building out technology and aiding research efforts.
    • Worked with database architects to build an end-to-end data pipeline and database architecture to ingest, process, and analyze large volumes of market data from various sources.
    Technologies: C++, Java, SQL, MapReduce, Python, C#
  • Senior Software Developer/Lead Software Developer

    2006 - 2008
    HBK Capital Management
    • Developed an application for scenario risk analysis including custom DSL for scenario description.
    • Built infrastructure for near real-time market risk calculation.
    • Lead a team of three software engineers. Used Scrum and Agile process.
    Technologies: TIBCO, Python, SQL, C++, C#
  • Software Design Engineer/Test

    2001 - 2006
    Microsoft
    • Developed automated tests for various subsystems of MS SQL Server using C++ and SQL.
    • Implemented an automated fault analysis system that was later patented.
    • Improved several test automation tools used by the team.
    Technologies: SQL, C++, C#

Experience

  • Creative Everywhere (Development)
    http://creativeverywhere.com/

    A Java-based Android app to practice creative thinking. Developed in collaboration with my wife, with me doing all the software development. The app has been featured on product hunt. I have also developed a Swift-based version for iOS but it is not live at the moment.

  • US Patent 20070074149: Automated Product Defects Analysis and Reporting (Development)
    https://patents.google.com/patent/US20070074149

    A system for automated analysis, tracking, and reporting of software defects in form of crash dumps, memory leaks, and test issues. I was one of the three co-authors on the patent. We designed the system with me implementing most of the code.

  • Quote Roulette (Development)
    http://www.quoteroulette.com/

    A Java-based Android app with a Django back end. The app downloads passages that users have highlighted in their Kindle books and displays a random one as a notification. I was a front-end and back-end developer for the app.

Skills

  • Languages

    Python, SQL, Python 3, JavaScript, C++, R, C#, Java
  • Paradigms

    Data Science, Quantitative Research, MapReduce
  • Industry Expertise

    Trading Systems, High-frequency Trading (HFT), Trading
  • Other

    Machine Learning, Complex Data Analysis, Data Visualization, Time Series, Financial Market Data, Data Analysis, Market Microstructures, Data Analytics, Data Reporting, Big Data, Financial Data Analytics, Financial Markets, Data Modeling, Data Mining, Data Engineering, Predictive Modeling, Predictive Analytics, Financial Analysis, Reinforcement Learning, Deep Reinforcement Learning, Google Cloud ML, Statistics, Statistical Methods, Regression Models, Linear Regression, Discrete Optimization, Optimization, Neural Networks, Corporate Finance, Project Finance, Equity Valuation, Risk Management, Financial Risk Management, Market Risk, Time Series Analysis, Evolutionary Algorithms, Jupiter, TIBCO
  • Libraries/APIs

    Scikit-learn, Pandas, Matplotlib, TensorFlow
  • Frameworks

    Spark
  • Tools

    Spark SQL, VS Code
  • Platforms

    Windows, RStudio, Ubuntu

Education

  • Graduate certificate in Corporate Finance
    2007 - 2007
    Southern Methodist University - Dallas, TX
  • Graduate coursework in Computer Science
    2004 - 2005
    University of Washington - Seattle, WA
  • Master's degree in Applied Mathematics, Computer Science
    1993 - 1998
    Moscow State University - Moscow, Russia

Certifications

  • End-to-End Machine Learning with TensorFlow on GCP
    MAY 2020 - PRESENT
    Coursera
  • Reinforcement Learning for Trading Strategies
    APRIL 2020 - PRESENT
    Coursera
  • Machine Learning: Regression
    DECEMBER 2017 - PRESENT
    Coursera
  • Machine Learning
    AUGUST 2013 - PRESENT
    Coursera
  • Linear and Discrete Optimization
    MAY 2013 - PRESENT
    Coursera
  • Neural Networks for Machine Learning
    DECEMBER 2012 - PRESENT
    Coursera
  • Financial Risk Management – FRM
    JUNE 2007 - PRESENT
    GARP

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