Software Engineer

Denis Alekseev

** ******** ** *** # * Boston, MA - 02115 617-***-**** *****.********.*@*****.*** SUMMARY

A Computer Science Master’s graduate with strong background in Mathematics, Statistics and Data Analysis. Proven problem- solving, analytical and programming skills developed through design and implementation of complex software applications and analysis of big data. Recognized as a highly motivated, proactive, creative and detail-oriented professional. EDUCATION

University of Massachusetts Boston January 2014 – December 2015 Candidate for a Master of Science in Computer Science, GPA: 3.97/4.0 Related Courses: Object-Oriented Software Development, Software Development Laboratory, Database-Backed Web Sites and Web Services, Applied Machine Learning, Analysis of Algorithms, Mobile Applications, User Interface Design National Research University Higher School of Economics, Russia 2011 – 2013 Master of Science in Business Informatics

National Research University Higher School of Economics, Russia 2007 – 2011 Bachelor of Science in Applied Mathematics and Informatics TECHNICAL KNOWLEDGE

• Operating Systems: Windows, Linux

• Programming Languages: Java, C++, SQL, T-SQL, JDOQL, R, NetLogo

• Web Applications: HTML, XML, CSS, Java Servlet and basics of JavaScript, ASP.net, Ruby on Rails

• Mobile Applications: Android

• Databases: Microsoft SQL Server, MySQL, IBM DB2

• Software and IDEs: Eclipse, Android Studio, Visual Studio, R Studio, WEKA, Matlab, MathCAD, Microsoft Office

• Other: Object-Oriented Design Patterns, Concurrent Programming, Network Programming, basics of Hadoop EXPERIENCE

University of Massachusetts Boston

• Research Assistant at Department of Computer Science June 2015 – December 2015 Apply machine learning and statistical inference for analysis of parameters of molecular communication between biological nanomachines

Gather, select, preprocess and transform data from simulations

Apply different machine learning algorithms, including Deep Learning in Neural Networks, to build predictive model

• Develop and implement Android application which utilizes deep neural network to learn September 2015 - present dependencies in human behavior and predict the next application a user is going to use

• Led a team in a project to discover genetic mutation patterns for specific tumor types using 2015 supervised and unsupervised learning and cancer data collected at Dana-Farber Cancer Institute. Used high performance computing cluster Medusa for computations.

• Developed a software infrastructure for cloud-integrated body area network in Java 2014 - 2015

Gathered and analyzed software requirements, created a software requirement specification

Analyzed an existing system

Designed and implemented back-end of cloud layer which is responsible for receiving sensor data from Android/ laptop, storing it in Google App Engine datastore and extracting necessary data for GUI

Tested software

• Wrote a website using three-tier architecture in Java with database connectivity 2014 to the Microsoft SQL server and with well defined GUI RESEARCH INTERESTS

Applying logical deduction, game theory analysis, statistical analysis and strategic decision making to learn and analyze NL Holdem and other variants of poker; machine learning; technical analysis in trading.

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