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nent Analysis (PCA), Kernel PCA and Independent Component Analysis(ICA) • Stochastic Control and Stochastic Calculus. • DSP, Adaptive filtering, Kalman filters, Hidden Markov Model • Kernel Methods, Support Vector Machines • Cointegration and Error Correction models, Vector Auto Regression, ARCH
and parallel processing in C++, Java; RDB and KM design, development, FIX, International equity markets; EXPERIENCE October 2012 — December 2012, Buttonwood Group, Chicago • Deployed and readied for production strategy Malachite, described below. October 2011 — August 2012, Independent work, IVC ■ Implemen
nent Analysis (PCA), Kernel PCA and Independent Component Analysis(ICA) • Stochastic Control and Stochastic Calculus. • DSP, Adaptive filtering, Kalman filters, Hidden Igarkov Model • Kernel Methods, Support Vector Machines • Cointegration and Error Correction models, Vector Auto Regression, ARCH
and parallel processing in C++, Java; RDB and KDB design, development, FIX, International equity markets; EXPERIENCE October 2012 — December 2012, Buttonwood Group, Chicago • Deployed and readied for production strategy Malachite, described below. October 2011 - August 2012, Independent work, IVC • Implemen
nent Analysis (PCA), Kernel PCA and Independent Component Analysis(ICA) • Stochastic Control and Stochastic Calculus. • DSP, Adaptive filtering, Kalman filters, Hidden Markov Model • Kernel Methods, Support Vector Machines • Cointegration and Error Correction models, Vector Auto Regression, ARCH
and parallel processing in C++, Java; RDB and KDB design, development, FIX, International equity markets; EXPERIENCE October 2012 — December 2012, Buttonwood Group, Chicago • Deployed and readied for production strategy Malachite, described below. October 2011 — August 2012, Independent work, IVC ■ Implemen
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