Senior Software Engineer/Data Scientist

E-mail : ************@*****.*** Phone : +380*********

Address : Ukraine, Kyiv, Nizhynska 29V

Crane Co. Sep 2013 Jun 2015

Self-employed Jun 2015 Present

GlobalLogic Oct 2016 Present

Victor Paslay

Work experience

Software Engineer

Developing complex math methods for banknote recognition and classification(applied methods - SVM, SVD, SVDD, correlation analysis, linear regression, numerical methods), programming PC-device communication protocol, GUI in C++ CLI(.NET). R&D work.

Software Engineer/Machine Learning Developer

Сlient: Imtiaz Ahmad(UK)

Developing machine learning algorithms, namely for recommendation system and dress fitting tools(C, OpenCV). Working with SQL, MongoDB, Elasticsearch.

Client: Wael Rammo(Canada), Ievgen Goroviy(Ukraine) Developing machine recognition of handwritten characters(C++, Python, OpenCV, Caffe) Using SVM, making Python wrappers for C++ code(Python Boost) Client: Raphael Silberman(UK)

Developing and supporting the API web service for gender, age, skin color recognition from scratch(Python, Django, R for analysis).Using regression, kNN, face detectors(Haar Cascades, FHoG), feature extractors(SURF) Client: Jonathan Mall(Germany)

Analysis, descriptive statistics, hypothesis testing of survey data in R(ggplot, basic R statistic tools). Facebok data scrapping, getting hidden insights of massive data chunks. Small expierence in NLP. Small non-commercial web experience(Python, Django, CSS, HTML, JS). Senior Golang Developer

Developing back-end software for financial calculations and statistics. Applying numerical and machine learning methods. Using Golang, Redis, R, Matlab.

Education

Victor Paslay 1

Computer-aided systems(B.D.) Sep 2009 Feb 2015

National Aviation University

Good mathematical background(calculus, statistics, probability theory). Preadvanced English level.

Finished coursera coursers(no certificate):

Data Science(data mining, analysis, preprocessing, etc.) Machine Learning(supervised and unsupervised ML, analysis of ML algorithms) Big Data(Hadoop, PySpark etc.)

Basic statistics(descriptive and inferential statistics, applying statistics etc.) Programming languages

C++(over 2 years):STL, multithreading, opencv, boost Python(1.5 years): scikit-learn, scipy, numpy, opencv, django Golang(6 months): goa, gonum.

Additional tools: R, Matlab/Octave

Have a good knowledge of computer algorithms(sorting methods, graph algorithms, math optimization algorithms) and math application(Bayess classification, SVM, SVD, regression methods), active shape models(face tracking), statistics. References

Kaggle top 20% achivement: https://www.kaggle.com/vpaslay/competitions Upwork profile: https://www.upwork.com/freelancers/~0142daa1d12f14b383 Interests

Programming, philosophy, forex, stocks.

Really passionate about machine learning and another magic that makes computers smart. Victor Paslay 2

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