Sergio Soto
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Sergio Soto

CV

Sergio Soto

Data Scientist & Enginering Physicist

MS. Applied Statistics and Data Science 2019 - 2022

  • Cumulative GPA: 3.56/4.0.
  • Coursework: Data Warehousing, Data Mining, Advance AI, Machine Learning, Statistical Learning, Probability and Statistics.

BS. Applied Physics – Mechanical Engineering 2011 - 2016

  • Cumulative GPA: 3.64/4.0.
  • Awards: Engineering Fellowship Scholarship (2014, 2015), President’s List (2015), Dean’s List (2011-2015).

  • Barua, A. Chavera, I. Djordjevic, V. Manzano, S.S. Quintero, M.K. Roychowdhury, and H. Tejeda (2022, August). Quantization for the mixtures of overlap probability distributions, arXiv: 2207.14152[math.PR].

  • Yang, Y, Diaz, I, & Soto Quintero, S. “A Vertical Axis Wave Turbine With Hydrofoil Blades.” Proceedings of the ASME 2016 International Mechanical Engineering Congress and Exposition. Volume 6B: Energy. Phoenix, Arizona, USA. November 11–17, 2016. V06BT08A047. ASME. https://doi.org/10.1115/IMECE2016-65952.

Presentation for the School of Mathematics and Statistical Sciences at UTRGV.

 

 

Presentation for the College of Engineering and Computer Science at UTRGV.

  • Languages: Fluent in English and Spanish.

  • Programming: MATLAB, C++, Java, PHP, R, Python (e.g. scikit-learn, numpy, pandas, matplotlib, selenium, tkinter), HTML, SQL, AWS, LAMP, Tableau, GitHub, Bash (CLI).

  • Mechanical/Manufacturing Engineering: NX 9 (CAD), Servo systems, 3D Printing Design, Machining and Assembly. Six Sigma, Lean Manufacturing: VSM, 5’s, One Piece Flow, Pareto charts, Kaizen newspaper, Kanban boards, Spaghetti diagrams, First in, First Out, Project Planning, Quality Assurance, Process Optimization, Multidisciplinary Teamwork.