Position: Data Scientist / Machine Learning Engineer
Category: Data Science
English level: fluent
Years of experience: 5

IBM Select Projects:
1/ Ising model for financial assets pricing – Spring 2019
2/ Semiclassical Shor’s factoring algorithm (FFT) – Winter 2019
3/ Quantum SVM discriminative classifier – Winter 2019
4/ True random number generator algorithm for RSA encryption – Fall 2018

ML Select Projects:
1/ Designing classifiers for discovery of mispriced securities (SVM, PCA, Knn)
2/ Deploying TNC, CG, Lagrangian for convex optimization problems in the computational investing domain.
Q3 2018 - Q2 2019
IBM
// Subject matter expert of IBM Q global team focusing on developing quantum computing applied solutions for ML, data science

Q2 2018 - Q3 2018
Canadian fintech startup
// ML-based software for Computational investing. Discovery of under- and overvalued securities via equity valuation, industry-specific metrics

Q2 2018
YahooFinance 
// Python-SQL based computational investing solution for web data extraction and analysis

Q4 2017 - Q2 2018
FRM Consulting
// setting-up quantitative risk management system for banks and mutual funds based on FINCAD API for Python

Q2 2015 - Q3 2017
MBA 
// University of Alberta, University of Mannheim
I am Interested in joining challenging, fast-paced environment with focus on high-tech stack IT solutions in Data science, ML.

The Big Data, blockchain and all kinds of web development are out of scope of my professional expertise.