Data Analysis
Resume:
Dr. Dmitry Bandurin
Home: 630-***-****
Aurora, IL 60504 Email: ********@****.*** Cell: 630-***-****
Quantitative Analyst / Data Scientist
Result-driven and well-organized professional with strong analytical skills, expert in the proper formulation
of complex problems, development of novel solutions, work in collaboration and independently, time-critical
operations and problem handling.
Extensive experience in experimental research, data analysis, data modeling, scientific computing and software development.
Co-author of about 20 software packages in physics experiments. Monte-Carlo / pseudo-experiment modeling. Big experience
in different machine learning techniques. Live data monitoring, writing software codes to control hardware operation. Leader
of two algorithm groups and a physics group at the Fermilab. Supervision of undergraduate and PhD students. Experience
in teaching object-oriented data analysis and physics courses. Primary author of many papers published in major peer-
reviewed physics journals.
Areas of Expertise
Collaborative Work Statistical Analysis
• •
• Experimental Data Analysis
• High Energy Physics Team Building & Motivation Programming
• •
• Research Project Leadership Machine Learning
• •
• Algorithms Development Teaching & Supervision Computer Administration (Linux OS)
• •
Professional Achievements
Data Analysis
– Big experience in experimental data analysis (PetaByte scale);
– Extensive application of machine learning algorithms in research (results are published in physics journals);
– Extensive experience of work with many Monte-Carlo packages;
– Practical experience in writing code for modeling physics processes in detectors (using Geant package);
– Co-author of the package for statistical unfolding of experimental data;
– Analysis using Python of Twitter data;
– Large-scale data processing on Amazon Web Services (TeraByte graphs processing);
– Data analysis using (Elastic) MapReduce and the Pig language, Hadoop distributed file system;
– Statistical data analysis using R and ROOT packages;
– Analysis of market data using Python and QSTK, portfolio optimization; work with large datasets
of historical price data.
Computer Proficiency
– Programming in C/C++ (incl. STL, C++11) [Brainbench cert.], Fortran, Python (incl. NumPy, Pandas),
Perl, MatLab, SQL (SQLite, MySQL, PL/SQL), Java, HTML, data visualization with Tableau;
– R, ROOT (data processing and analysis framework), PAW (physics analysis workstation);
– Computer administration and C-shell programming in Unix (Linux);
– Windows OS and its main applications (Word, Excel, PowerPoint);
– Practical work with HDFS, programming using MapReduce and Pig language;
– Practical use of distributed data processing;
– Co-author of about 20 software packages in physics experiments.
Research, Development in Scientific Laboratory Environment
– Work in D0 Experiment / Fermi National Accelerator Laboratory (Fermilab), USA; 2000 – present;
– Work in CMS Experiment / European Organization for Nuclear Research (CERN), Switzerland; 1997 – 2011;
– Work in HERA-B Experiment / Deutsches Elektronen-Synchrotron (DESY), Germany; 1998 – 1999;
– Primary authors of 17 measurements in Fermilab and CERN experiments;
– Primary author of many software-implemented algorithms running in real experiment environment.
Project Supervision, Management and Task Leadership
– Leader of two algorithm groups, solving most critical problems for the experiment; 2006 – 2009 (development
of jet energy scale setting algorithm, most precise in the world, http://www-d0.fnal.gov/phys_id/jes/public_RunIIa,
http://arxiv.org/abs/arXiv:1312.6873; development of electron/photon identification algorithms,
http://arxiv.org/abs/arXiv:1401.0029);
– Supervision of about 10 PhD students (7 of them have received PhD).
Education
• Ph.D. in Physics+Mathematics, Joint Institute for Nuclear Research (JINR), Dubna, Russia June, 2004.
• M.S. in Theoretical and Nuclear Physics, Moscow State University/University Scientific Center by JINR.
Graduated with a highest distinction (Summa Cum Laude).
Additional Courses
• Computing for data analysis (John Hopkins University, certificate ’with distinction’)
[programming in R, data analysis, graphics];
• Data analysis (John Hopkins University, certificate ’with distinction’)
[programming in R, analysis methods, practical application of machine learning algorithms];
• Introduction to Data Science (University of Washington, certificate ’with distinction’)
[relational databases, MapReduce, NoSQL, statistical modeling, machine learning, visualization, a variety of algorithmic topics];
• Machine Learning (Stanford University, certificate ’with distinction’)
[multivariate linear regression, logistic regression, regularization, neural networks, support vector machines, unsupervised learn-
ing (clustering and dimensionality reduction), anomaly detection, recommender systems, large-scale machine learning];
• Computational investing (Georgia Institute of Technology, certificate ’with distinction’)
[company valuation, CAPM, historical data and its manipulation, portfolio performance assessment and optimization];
• Introduction to Computational Finance and Financial Econometrics (University of Washington)
[descriptive statistics with R, returns, time series, portfolio theory].
All certificates can be uploaded from http://www-d0.fnal.gov/~ bandurin/Certificates
Employment History
• Jan. 2006 – present: Fermilab, Research Scientist;
• 2000 – 2005: JINR, Laboratory of Nuclear Problems, Scientific Associate;
• 1994 – 2000: JINR, Laboratories of Theoretical and Particle Physics, Research Assistant.
Publications
Primary author of 26 papers in major peer-reviewed physics journals (such as Physics Review Letters, Physics Review D,
Physics Letters B, European Physics Journal, Journal of High Energy Physics, Nuclear Instruments and Methods and others),
and 15 papers published in proceedings of international conferences; co-author of 268 papers published by D0 Collaboration
and 75 papers published by CMS Collaboration in the physics journals. Full list of publications can be found here:
http://www-d0.fnal.gov/~ bandurin/MyHome/publications-dmitry_bandurin.pdf
Some featured articles in Fermilab today: http://www-d0.fnal.gov/~ bandurin/MyHome/featured.html
Public talks
More than 40 talks are given at international conferences, workshops, and seminars. Full list of talks can be found here:
http://www-d0.fnal.gov/~ bandurin/MyHome/talks-dmitry_bandurin.pdf
Teaching
• Object-oriented data analysis in high energy physics (JINR, 2003 – 2004);
• Computing in high energy physics (Dubna University, 2002 – 2003);
• Quantum field theory (JINR, 2002).
Other info: US permanent resident, married.
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