Andrew Carl
Senior Machine Learning Engineer Senior Data Scientist @Cp Sports Technology Limited
Signup · Get unlimited contacts
WORK HISTORY
Senior Machine Learning Engineer Senior Data Scientist @Cp Sports Technology Limited
Las Vegas, NV, US
Developed in-house \"2StrikeTrader\" trading profit optimization / backtesting distributed processing application using Python w/ Ray expanding on online functionality of TD Ameritrade \"ThinkorSwim\" platform \"OnDemand\" playback functionality, with added capability of \"conditional-order\" trade functionality only available in \"ThinkorSwim\"\"Live-Trading\" mode, incorporating over (10) years and in excess of 1.4 Trillion of historical tick data. Performed parallel trade profit optimization of \"conditional-order\" trade criteria involving in excess of (1) Billion backtested trades on in-house on-prem cluster using in-house trading profit optimization / backtesting application. Performed and published original research and case-studies on \"Trans-dimensional Machine Learning\"(TML) in various applications of unsupervised and semi-supervised clustering, embedding and optimization using reinforcement learning via UMAP / HDBSCAN / Hybrid-NEAT. Performed semi-automated collection of in excess of 5.5 Million images of S & P500 member symbols historical \"Point & Figure\" charts using Python w/ Selenium. Performed automated image dataset supervised learning label preprocessing using Python w/ OpenCV & PIL. Performed automated image dataset supervised learning label assignment using OCR via Python w/ Tesseract. Performed automated stock symbol data collection from DWA Research Platform using Python w/ Selenium. Performed daily stock symbol trading metrics and ranking derived from DWA Research Platform query data using Python. Performed daily stock symbol price projections derived from DWA Research Platform query data using Python w/ FBProphet. Performed determination of various S & P500 historical trading priors based upon \"Time-of-Day\",\"Day-of-Week\" and \"Day-of-Month\" using Python w/ Pandas. Performed determination of probability distributions of various indicators on S & P500 Futures over (10) years of historical tick data using Python w/ Pandas.
EDUCATION
California State University, Fullerton
Bachelor of Science - BS, Mechanical Engineering
ABOUT ANDREW CARL
TransDimentional Machine Learning\"(TML) application evangelist, the enthusiastic developer of the \"2StrikeTrader\" Day-Trade application,\"2StrikeHitter\" computer-controlled Baseball pitching machine controller,\"GitHub AI Brain-of-Brains\" and \"GITHUB2VEC\" NLP productivity tools. A passionate multi-discipline Aerospace Mechanical Engineer with (38+) Years experience integrating Artificial Intelligence, Hybrid Reinforcement Machine Learning (NEAT), data science and multi-discipline based simulation in Hybrid Reinforcement Learning based Optimization (NEAT), design and analysis of complex air, space and ground-based systems and engineering tool development. The developer of the \"BDFUTIL\" cost savings utility which creates System-Level Thermal analysis models by leveraging Air/Space Vehicle Structural FEM Loads models and associated data. Creator of the \"BDFUTIL2\" cost savings utility which creates Thermally Induced Loads Structural FEM NASTRAN models by leveraging Air/Space Vehicle Structural FEM Loads models, including composite structure orthogonal conductivities with added degrees-of-freedom while maintaining node compatibility with both the original Structural FEM Loads model and System Thermal analysis models. The developer of the \"MODEL BUILDER\" cost savings utility which creates Structural & Thermal FEM analysis models of SEM-E Avionics modules.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.