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 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
Adjunct Professor — Trine University (Online/Hybrid)
Teach graduate-level Statistics & Quantitative Methods courses in MBA/MCS/MSIS programs. Supervise and guide student project work, applying real-world scenarios in statistics, data science, and quantitative methods. Integrate financial modeling and algorithmic trading concepts into coursework, enhancing applied learning with live financial data.
– Present
Adjunct Instructor at Stark State College (Akron, OH)
Teach statistics (MTH124), emphasizing practical applications and preparing students for real-world quantitative challenges.
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Adjunct Professor — Calculus 3 & 4 at Walsh University (Ohio)
Taught advanced calculus with a focus on applying mathematical concepts to data science and statistics.
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Adjunct Professor — Business Statistics at Bryant & Stratton College (Solon, OH)
Taught Business Statistics at the bachelor’s level, emphasizing practical applications using NASDAQ live data and algorithmic trading concepts.
– Present
Financial Modeler at DVNproducts, LLC (Twinsburg, OH)
• Educational Material Development and Book Writing: Create comprehensive educational content spanning preschool to high school, focusing on the applicability of mathematics and statistics. • Data Handling and Compliance: Managed data for Amazon and Walmart accounts, essential for tax filing and regulatory compliance. Utilized analytical tools such as Excel, SQL, and Python to organize, clean, and analyze data, ensuring accuracy and timeliness in reporting. • Developing algorithmic trading strategies. • Developing modeling based on stochastic Levy models for predicting market volatility.
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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.
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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
- Built a cloud-based data pipeline delivering actionable insights from real-world data.
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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: