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Joyston Fernandes

Aspiring ML Deployment Engineer | Business Analytics

Jfern7@unh.newhaven.edu · linkedin.com/in/joyston-ferns · github.com/Joyston1805 · joyston1805.github.io

Summary

Business Analytics student working toward ML deployment — the part after the notebook, where a model gets packaged, served, monitored, and actually used. Grounded in real production data: manufacturing yield, packaging waste, and forecasting.

Skills

Tools
Python, R (RStudio), C++, SQL, H2O AutoML, Power BI, Excel (VBA), Git, Visual Studio
Concepts
Data Visualization, Forecasting, Relational Databases, Basic Machine Learning
Currently Learning
Java, Blender, AutoCAD, Docker, FastAPI, MLflow, CI/CD (GitHub Actions), Model Monitoring, Cloud Deployment
Business Systems
Autodesk, SAGE, Microsoft Dynamics 365, MICROS, TOUCHE, TOAST, IDS, LMS-Canvas

Experience

Assurance of Learning Assistant · Pompea College of Business

January 2026 – Present

  • Collaborate with PCoB faculty on the AACSB Assurance of Learning team, contributing to data collection and analysis for accreditation metrics.
  • Support continuous improvement of program learning outcomes.

Production Data Analyst Intern · Atticus Bakery, New Haven, CT

March 2024 – Present

  • Analyzed production and packaging data in Excel, identifying a 1.9% excess in overpacking beyond the 2% buffer — reducing material waste and cost.
  • Built and maintained KPI reporting files tracking yield, scrap, and line performance for operations leadership.
  • Collaborated with the DMAT/operations team to improve data collection processes and infrastructure.
  • Reviewed facility layouts and blueprint changes for Connecticut regulatory compliance.

Soccer Coach Trainer · Soccer Shots SWCT, Shelton, CT

February 2024 – Present

  • Train and mentor new coaches to deliver a consistent curriculum across age groups, improving session quality and parent satisfaction.

Projects

Forecasting Daily Traffic at Baregg Tunnel · R, Time Series, Linear Regression, Residual Diagnostics

  • Linear regression with trend and weekly seasonality vs. a same-day-last-week baseline, tested on a held-out five-month validation window.
  • Regression beat the baseline on all four metrics (RMSE, MAE, MAPE, MASE), and residual diagnostics confirmed the model assumptions held.

Published analyses (RPubs): Predicting House Prices; Does Job Training Really Improve Earnings?; Hedonic Models: Factors Influencing Housing Prices; Titanic Survival Prediction with Decision Trees.

Education

B.S. Business Analytics · University of New Haven, West Haven, CT

Expected December 2026 · GPA 3.7

Post-Graduate Program in Data Science and Business Analytics · University of Texas at Austin, Austin, TX

Completed February 2023 · GPA 3.8

Leadership & Awards

President, UNewHaven Business Analytics Club

March 2025 – May 2026

  • Led a student organization focused on analytics, data visualization, and career preparation.
  • Organized workshops in collaboration with faculty and industry speakers.
  • Coordinated event logistics, marketing, and sponsorship outreach to grow membership and club visibility.

Awards: Pompea College of Business – Dean's List (7x); Business Analytics Diplomat (2025–2026); Excellence in Economics (2026)