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    Luis Cota

    Quantitative Trading & Strategy | Data Engineering & Visualization | Algorithmic Trading & Statistical Modeling | ML & AI

    Luis Cota is a highly skilled data scientist and software engineer known for blending data and technology expertise to create and implement strategic technology and business plans.

    His background includes a Bachelor's Degree in Computer Science from Carnegie Mellon University and a Master's Degree in Applied Statistics from Michigan Technological University.

    Luis has held key roles in various prominent organizations such as Quantitative Trader at GTS, IG Algorithmic Credit Trading at Bank of America, Senior Platform Engineer and Data Science expert at BlackRock, and Senior Fixed Income Strategist specializing in Statistical Modeling at Susquehanna International Group, LLP (SIG).

    Additionally, he has contributed his skills as a Quantitative Researcher in Algorithmic Credit Trading at Deutsche Bank, Credit Strategist focusing on Data Engineering and Alternative Data at JPMorgan, and Founding Partner at KIRALY. He also gained experience as a Sales & Research Analyst at AVM LP / III Associates.

    Luis Cota excels in leading and executing cross-functional data science projects that deliver tangible results. His thought leadership has been instrumental in spearheading data intelligence initiatives within organizations and advocating for a pervasive data culture.

    His track record demonstrates a strong ability to drive measurable impacts through the application of his data science and software engineering acumen.

    Luis Cota
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    Location

    New York, New York, United States