Gonsalge Almeida

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.

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Location
Department of Mathematics, Applied Mathematics, and Statistics, Case Western Reserve University, Sears Library, Room 569, Cleveland, OH, United States
Email
Phone
(216) 368-9219

Experience

– Present

Trader / Financial Modeler at DVNproducts, LLC (Twinsburg, OH)

Manage trading of financial assets while developing algorithmic strategies. Build data models based on stochastic Lévy processes to estimate moving averages and market volatility/risk; produce VaR and ES forecasts.

Data Engineering Scholar at The Data Incubator

Intensive industry training (≈2% acceptance). Worked to west-coast standards on ML, analytics, and product-minded data work.

  • Adopted best practices from industry leaders; end-to-end project execution.
  • Conceived projects with measurable business value and clear deliverables.

Graduate Student Instructor / Teaching Assistant at Case Western Reserve University

Graduate Student Instructor / Teaching Assistant at Central Michigan University

Education

Professional in Data EngineeringThe Data Incubator

Courses

  • Capstone: Portfolio Stock Allocation for Algorithmic Trading

Ph.D. in Applied MathematicsCase Western Reserve University

  • Thesis: “Financial Modeling with Lévy Processes and Applying Lévy Subordinator to Current Stock Data”.

Ph.D. (followed) in Statistics — Central Michigan University

M.A. in Mathematics — Central Michigan University

Statistics & Computer Science — University of Kelaniya

Skills

Quantitative Analysis
Level: Master
Keywords:
  • Research & Development
  • Quantitative Analytics
  • Risk Assessment & Mitigation
  • Machine Learning
  • Financial & Statistical Modeling
  • Data Gathering & Evaluation
Scripting
Level: Master
Keywords:
  • Python
  • R
  • SAS
  • Mathematica

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