Gonsalge Almeida

Summary
Data Scientist • Educator • Statistician • Researcher
I blend deep statistical training with hands-on data science and college-level teaching. Strengths include building and validating stochastic/financial models, statistical inference, experimental design, and clear communication of results to technical and non-technical audiences. Current work centers on financial modeling with Lévy processes, risk analysis, and reproducible analytics in R and Python.
I have 13+ years of university-level teaching and curriculum development, and completed a Data Engineering Fellowship at The Data Incubator (TDI). Recent efforts include designing R supplements, interactive syllabi, and data-driven course materials that emphasize practical modeling and reproducible workflows.
Core strengths: statistical modeling; time series & regression; probability & simulation; R/Python workflows; data visualization; teaching & mentoring; financial/risk modeling.
- Location
- Department of Mathematics, Applied Mathematics, and Statistics, Case Western Reserve University, Sears Library, Room 569, Cleveland, OH, United States
- gsa19@case.edu
- Phone
- (216) 368-9219
Experience
– Present
Trader / Financial Modeler at DVNproducts, LLC (Twinsburg, OH)
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Data Engineering Scholar at The Data Incubator
- Adopted best practices from industry leaders; end-to-end project execution.
- Conceived projects with measurable business value and clear deliverables.
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Graduate Student Instructor / Teaching Assistant at Case Western Reserve University
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Graduate Student Instructor / Teaching Assistant at Central Michigan University
Education
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Professional in Data Engineering — The Data Incubator
Courses
- Capstone: Portfolio Stock Allocation for Algorithmic Trading
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Ph.D. in Applied Mathematics — Case Western Reserve University
- Thesis: “Financial Modeling with Lévy Processes and Applying Lévy Subordinator to Current Stock Data”.
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Ph.D. (followed) in Statistics — Central Michigan University
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M.A. in Mathematics — Central Michigan University
Statistics & Computer Science — University of Kelaniya
Skills
- Quantitative Analysis
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Level: MasterKeywords:
- Scripting
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Level: MasterKeywords: