Skills Matrix

( With various levels of proficiency: 1- Excellent ( > 5 years);  2- Good (3 - 5 years); 3-Moderate ( < 3 years ) )

Information technologies

• Platforms, Servers
1. Windows: 9x, NT, 2000, 2003, XP, Net 1.1- 3.0
2. Unix/Linux (Redhat), Apache (1.x, 2.x), IIS 4-6
3. Embedded XP, Mono, Java
• Computer Languages (Object-oriented, Procedural, Scripting):
1. Delphi (v.3 to 7, 2006, 2007), C# (1.1-3.0) , Pascal, Fortran (v. 4 to 77, 95)
2.  C++ (no MFC) , VB.Net (1.1, 2.0), PHP (v. 4, 5), JavaScript ,  VBScript
3. Java, C, VB6, Perl ,  Ruby , Python
• Programming tools
1. Delphi (v.3 to 7, 2006-2007), MS VS (v 6, 2003, 2005, 2008)
2. C++Builder (v.5, 6, 2007)
3. Kylix (v. 2, 3), JBuilder, Eclipse, DevC++, KDevelop, Lazarus
• Databases
1. MS SQL Server 7/2000/2005, Interbase/Firebird, SQL
2. ADO.Net, MySQL 4/5, SQLite 2/3
3. Oracle 8/9/10/11,  DB2, Paradox, Access
• Programming techniques
1. GUI, Unit testing, HTML, XML, XSL, SOAP, VCL, Web Services
2. ASP.Net, Multi-threading, COM/ActiveX, IPC,  Sockets (TCP/IP), CSS
3. Web forms, Qt, wxWidgets, Tk, UML
• Application Software Engineering - Software development life-cycle
  1. Code/Bug management:
  Star Team
  2. Code management:
  Source Safe & Vault
  3. Code/Bug management:
  FogBugz, SVN

Numerical methods, Algorithms

• Data analysis and processing
1. Signal processing (DSP), Interpolation, Extrapolation, Filtering, Prediction, Time series, Statistical analysis, PCA, SVD, Fourier analysis.
2. Incorrect inverse problems, Analysis of accuracy and resolution and the domain of reliable reconstruction.
3. Wavelet analysis, Pattern recognition, Hidden Markov Models, Dynamic programming, Neural networks,  Cryptography, Data mining.
• Analytical, modeling tools
1. Mathematica 4/5.
2. MatLab (v. 5 to 7).
3. R.
• Simulation and modeling
1. Dynamic and Stochastic modeling, Differential Equations (ODE, PDE), Integral equations,  Monte Carlo.
• Optimization
1. Quasi-Newton (Variable metric), Conjugate gradient (Fletcher-Powell ), Fitting (Levenberg-Marquardt).
2. Genetic and Evolutionary algorithms, Differential Evolution.

Science, Research, Engineering, Teaching

• Mathematics
1. Linear algebra, Calculus, Differential equations (ODE, PDE), Probability theory.
2. Green function method, Integral equations, Statistics, Stochastic differential equations.
• Physics, Chemistry
1. Quantum mechanics, Spectroscopy (Optical,  NMR, EPR), Quantum/Computational chemistry, Cheminformatics/Bioinformatics.
2. X-Ray scattering, Diffraction, Statistics, Kinetics,  Spin chemistry (CIDNP, CIDEP).
3. Solid-state physics, Aerosol science, Thermodynamics.
• Quantitative research and development
3. Financial engineering, Statistics, Stochastic algorithms, Data analysis and processing, Performance valuation, Pricing and Statistical algorithms.
• TRIZ
- Theory of inventive problem solving
2.  Directed evolution of technical systems, Anticipatory failure determination, Brainstorming facilitation. 
• Teaching
  1. Quantum chemistry, Spectroscopy (NSU)
  2. Numerical methods, Algorithms (Inst. Kinetics).
  3. See also my online ABC Tutorials.

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Please e-mail me at nikolai@shokhirev.com