Nefeli Zafeiri
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Nefeli Zafeiri

Nefeli Zafeiri

Business Analytics, Data Strategy, Operations

MSBA at the University of Miami with a background in international business, finance, and data analytics. Passionate about translating data into actionable strategy.

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Education Experience Projects Activities Skills

Education

University of Miami Herbert Business School Master of Science in Business Analytics Coral Gables, FL
May 2026
  • Related Coursework: Quality Management, Supply Chain Analytics, Business Consulting Analytics, Product Management
University of Central Oklahoma Bachelor of Business Administration in International Business, Minor in Finance Edmond, OK
May 2025

Experience

University of Miami Graduate Assistant Miami, FL
October 2025 to Present
  • Designed and built the documentation website for Ravix, an open-source Python regression library accompanying a Springer-published textbook, responsible for design and content
  • Designed and built businessregression.com, the companion site for the same Springer-published textbook, organizing dataset downloads, chapter summaries, and worked regression examples for student use
  • Completed an independent directed study supporting the professor's book project (research support, edits)
  • Support a professor who oversees the MSBA program with undergraduate course assistance and student guidance
  • Manage communications, follow-ups, and academic tasks to keep coursework and provide operational support
University of Central Oklahoma, Athletic Department Finance Department Assistant Edmond, OK
August 2024 to May 2025
  • Identified budget inefficiencies that reduced unnecessary event costs and improved resource utilization
  • Improved financial efficiency across athletic events by analyzing budget variances and supporting resource allocation
  • Reduced budget adjustments by flagging potential issues earlier in the event planning cycle
University of Central Oklahoma Research Assistant, National Conference Undergraduate Research Edmond, OK
March 2024 to April 2025
  • Achieved 1st place at Oklahoma Research Day 2025 for a regression-based analysis of natural gas price behavior
  • Analyzed weather and forecast datasets in Excel to quantify their influence on natural gas price movements
  • Interpreted analytical findings to support financial forecasting and inform energy market decision-making
  • Developed predictive models using regression and time-series techniques to identify long-term market trends
Zafeiris LTD (Beverage Distribution) Communication Specialist | Business Operations Athens, Greece
June 2020 to May 2025
  • Analyzed customer demand and product-mix trends to optimize inventory, shifting resources toward high-demand items and reducing low-performing SKUs
  • Expanded brand visibility by 25% by assisting with promotional campaigns and community events
  • Negotiated pricing and delivery terms with suppliers and customers, improving cost efficiency and partnerships

Projects

Capstone, Deloitte, Jan 2026 to May 2026

AI-Driven Wildfire Risk Monitoring

Developing an AI solution for wildfire risk monitoring and early detection in collaboration with Deloitte, translating geospatial and environmental analytics into actionable insights for real-world decision-making.

Python Machine Learning Geospatial Data Data Visualization
Read Case Study View Live Demo View on GitHub
First AI Model, April 2026

Chart Reasoner, Fine-tuned Phi-3 Mini

My first published AI model: a LoRA fine-tune of Microsoft's Phi-3 Mini (4k) for chart reasoning, extracting structured insights from chart images. Trained with Unsloth + TRL and released on the Hugging Face Hub as a component of the SQL Agent stack.

Phi-3 Mini LoRA Unsloth Transformers Hugging Face
View on Hugging Face Adapter-only variant
Team Project, Apr 2026, Hugging Face Spaces

SQL Agent, Natural Language to SQL

A multi-model AI agent that accepts a natural-language question, generates and executes the corresponding SQL query, and returns an interactive data visualization. Three open-source LLMs were fine-tuned on a 761K-row curated dataset for SQL generation, chart reasoning, and SVG rendering, then deployed end-to-end on Hugging Face Spaces.

LLMOps PyTorch LLM Fine-Tuning Hugging Face Spaces Python
View on Hugging Face View on GitHub
Big Data Analytics, Apr 2026

Coffee Shop Big Data Analytics

End-to-end big-data ML project on ~1.8M coffee-shop transactions. PySpark for ingest, cleaning, and EDA; scikit-learn + XGBoost + Optuna for modeling; SHAP for explainability. Delivered regression and classification models with clear lifts over baselines (wait time +34.8%, purchase amount +11.8%, rewards-target AUC 0.98).

PySpark XGBoost Optuna SHAP scikit-learn
View on GitHub
Class Project, Feb 2026, Time Series

Time Series Forecasting Comparison

Compared classical forecasting models, ARIMA, ARIMAX with exogenous regressors (layoffs, quits, sales, wages), Naive, and a Hybrid OLS+ARIMA, against a 12-month moving average baseline on monthly economic data. The simple moving average produced the lowest MAPE; a useful reminder that complexity isn't always better.

Python ARIMA statsmodels Time Series
View on GitHub
Class Project, Dec 2025, Machine Learning

Customer Prediction with XGBoost and SHAP

End-to-end binary classification project predicting customer behavior. EDA and preprocessing through gradient-boosted modeling with XGBoost, then SHAP values to explain individual predictions and overall feature importance. Final deliverable was a research poster.

Python XGBoost SHAP scikit-learn
View on GitHub
Personal, Aug 2025 to Oct 2025

Monthly Budget App

Multi-month personal budgeting tool in Python with categorized expense tracking (needs vs wants), savings-goal progress, and data visualizations, pie chart by category, line chart over time, seasonal patterns, plus personalized tips against the 50/30/20 budget rule.

Python pandas matplotlib seaborn
View on GitHub

Activities and Interests

Deloitte Scholar, DIRPA Program Deloitte Institute for Research and Practice in Analytics Miami, FL
October 2025 to October 2026
  • Won a scholarship in data visualization demonstrating strength in analytics and business strategy
Graduate Business Student Association MSBA Cohort Representative Miami, FL
September 2025 to May 2026
  • Represent the MSBA program, supporting initiatives to improve student engagement and collaboration
Varsity Tennis Team Student-Athlete
August 2021 to May 2025
  • Awarded Top-2 line-up positions throughout college tennis career while leading a team of 6 to 12 players
  • Represented the university at major regional and national NCAA tournaments, competing against top-ranked athletes
Student-Athlete Advisory Committee Member
August 2021 to May 2023
  • Organized and coordinated community service initiatives supporting student-athlete welfare
  • Contributed to enhancements of Athletic Department programs for student-athletes
International Children Games, Taipei, Taiwan National Tennis Team, Greece
July 2016
  • Represented Greece as a member of the National Tennis Team at an international multi-sport competition

Skills

Technical Skills

Python SQL Snowflake pandas scikit-learn XGBoost SHAP PyTorch Hugging Face PySpark statsmodels Streamlit Tableau Power BI Git Microsoft Office Suite Minitab Visio Jira

Languages

Greek (Native) English (Fluent) French (Conversational) German (Conversational) Spanish (Basic)

Certifications

Six Sigma Green Belt ECDL Standard Certificate DataCamp Intermediate Python DataCamp Preprocessing for Machine Learning in Python DataCamp Introduction to Statistics in Python DataCamp Machine Learning for Marketing in Python PTR Tennis Coaching (Jan 2023)

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