Personal details
Michael G.
Summary
Big data wrangler with knack for gathering, analyzing, and interpreting large data sets from disparate sources. Expertly glean insights from complex data to create actionable plans for product and business enhancement. Illuminate solutions to business challenges by leveraging industry knowledge, identifying trends, and effectively managing data. Well versed in developing machine learning (ML) and deep learning models for versatile applications. Recent success completing intensive data science bootcamp, designing data modeling processes to produce algorithms and predictive models and conduct custom analysis.
Technical skills
Work Experience
Performing pre-silicon validation of hardware root of trust using SystemVerilog, Ruby, Python, C++, ARM architecture, and SoC design.Updated validation testbench and found bugs in silicon IP to enable the team to hit a key bringup milestone using SystemVerilog, C++, and ARMv7 assembly programming. Wrote complex test scenario to verify in HDL simulation the ability of the hardware root of trust to be boot-able by firmware using SystemVerilog, C++, ARM assembly programming. Updated verification infrastructure to perform HW/SW debug of the hardware root of trust RTL model. This enabled faster test development time and debugging, increasing productivity of the entire team.
Performed statistical analysis to determine product strategy for Bot Manager using Python, plotly, Jupyter Notebooks, and SQL.Helped to optimize the product by performing false-negative risk analysis of various bot detection features within Bot Manager. Resolved customer issues with Bot Manager by recommending changes to the complex features of the product to improve customer experience (fewer false-positives or false-negatives).