Viviana Luccioli
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Welcome to my personal portfolio!

Python R AI Database PyTorch Neural Net Hadoop Graph Tensor Data Neural Network

Here, you can learn more about me, see my resume, and explore some of my projects.

About Me

Viviana Luccioli

Hi, I'm Viviana! πŸ‘‹

I'm a data scientist and AI researcher building systems at the intersection of machine learning, agentic AI, and rigorous evaluation. I'm especially interested in how we measure AI β€” benchmarking generalization, probing emergent behaviors in multi-agent systems, and developing evaluation frameworks for zero-shot forecasting and reasoning. I'm the first author of LLM on a Budget (IEEE Big Data 2025) β€” and stay tuned for more exciting work from my team at the Federal Reserve!

Outside of work: dual U.S./Italian citizen, fluent in English, Italian & Spanish, former piano teacher, and always looking for a good book rec.

Currently
Georgetown
M.S. Data Science & Analytics
Georgetown University Β· May 2026
Federal Reserve
Statistics, Data Management & AI Intern
Federal Reserve Board of Governors
Previously
UVA
B.A. Applied Statistics & Global Public Health
University of Virginia Β· 2024
City of Promise
Data Engineer Intern
City of Promise
WHO
Research Assistant
World Health Organization

⭐ Interests

  • Agentic AI & Multi-Agent Systems
  • AI Evaluation & Benchmarking
  • Interactive Data Visualization
  • Time Series Transformers
  • ML App Deployment
  • Image Processing & Computer Vision

🌎 Other

  • Fluent in English, Italian, and Spanish (+ a bit of French) (+ learning Catalan)
  • U.S. & E.U. (Italian) dual citizen
  • Former piano and voice instructor
  • Originally from Falls Church, VA

Highlights

⭐ Georgetown University Merit Scholarship (2024 & 2025)

πŸ₯‡ First Place β€” DC Metro StatConnect Conference 2025, Graduate Research Paper Competition

πŸ† Nominee β€” 2025 Outstanding Georgetown Graduate Student Award

πŸ“„ First author of LLM on a Budget β€” published at IEEE Big Data 2025 and as a Federal Reserve FEDS Notes paper

πŸ“„ Pending publication in collaboration with Georgetown DSAN Program Director Dr. Purna Gamage

Tech Stack

Programming Languages
Machine Learning
Statistical Methods
Data Engineering
Cloud & Big Data
Development Tools
Visualization & BI
Python
PyTorch
Keras
TensorFlow
Scikit-learn
SciPy
SpaCy
Pandas
Polars
Streamlit
XGBoost
StatsModels
Hugging Face
R
dplyr
ggplot2
shiny
lubridate
purrr
tidyr
tidymodels
leaflet
timetk
SQL
JavaScript
CSS
SAS
Deep Learning
Neural Networks
CNNs
RNNs
Transformers
EfficientNet
NLP
LLMs
BERT / DistilBERT
FinBERT
Topic Modeling
NER
Embeddings
Sentiment Analysis
Agentic AI
Multi-Agent Systems
LangGraph
RAG / GraphRAG
MCP
A2A Protocol
Agent Orchestration
Classification
SVM
Logistic Regression
Random Forests
GBDT / XGBoost
LDA/QDA
Unsupervised Learning
PCA
t-SNE
K-means
DBSCAN
Computer Vision
Bayesian Statistics
Time Series
ARIMA
LSTM
Chronos2
TimesFM
Multivariate Analysis
Survival Analysis
ETL Pipelines
Database Design
APIs / FastAPI
Image Processing
Web Applications
Streamlit
FastAPI
Flask
AWS
EC2
Glue
Athena
Azure Arc
Hadoop
Spark
PySpark
SparkML
Modern Data Tools
Polars
DuckDB
LangChain
LangGraph
Docker
Kubernetes
Git / GitHub
Power BI
Excel
Data Visualization

Let’s Connect πŸ’Œ

I love meeting new people and learning from them! I would be happy to hear from you if you have any questions about my experience, are looking to collaborate on a project, or just want to chat.

(And I am also always open to book recommendations 😊 )