Viviana Luccioli

I'm an M.S. Data Science student at Georgetown University, and I'm glad you've found me! Here, you can learn more about me, see my resume, and explore some of my projects.

About Me

Viviana Luccioli

Hi, I'm Viviana!

I am a second-year M.S. student in Georgetown University's Data Science and Analytics program, graduating in May 2026. Alongside my studies, I intern part-time at the Federal Reserve Board in Washington, D.C., where I build dashboards and automation processes in the IT Statistics & Data Management division while also collaborating through the AI program with senior economists and researchers in Financial Stability and International Finance to develop AI agents and research assistants (using novel tools such as LangChain and LangGraph) that enhance and support their critical research.

I enjoy being actively involved in the Georgetown community. I currently serve as a Professional Development Center assistant, where I help fellow data science students refine their resumes and cover letters for maximum impact in technical fields. I also contribute blog posts to our program website. Furthermore, last year, I worked as a research assistant in Dr. Qiwei (Britt) He’s AI Measurement and Development (AIMD) Lab and served as a teaching assistant for DSAN 6150: Biological and Biomedical Data Science.

I also hold two Bachelors degrees from the University of Virginia in Applied Statistics (with a concentration in Biostatistics) and Global Public Health.

⭐ Interests

  • Agentic AI
  • Interactive Data Visualization
  • Image Processing
  • AI Research
  • Machine Learning App Deployment

🌎 Other

  • I am fluent in English, Italian, and Spanish! (and I speak a bit of French)
  • I’m both a U.S. and E.U. citizen
  • Former piano and voice instructor to young children
  • Originally from Falls Church, VA

Highlights

  • Recipient of Georgetown University’s Merit Scholarship (2024, 2025)
  • Nominee, Georgetown 2025 Graduate Student Awards
  • First Place, DC Metro StatConnect Conference – Graduate Research Paper Competition
  • Pending Research Publications:
    • Co-author on a paper with the Federal Reserve Board AI research team, submitted to the IEEE Big Data Conference 2025
    • Collaborating with Program Director Dr. Purna Gamage on a publication originating from a class final project

Tech Stack

Programming Languages
Machine Learning
Statistical Methods
Data Engineering
Cloud & Big Data
Development Tools
Visualization & BI
Python
PyTorch
Keras
TensorFlow
Scikit-learn
SciPy
NLTK
XGBoost
StatsModels
Hugging Face
R
dplyr
ggplot2
shiny
lubridate
purrr
tidyr
tidymodels
leaflet
timetk
SQL
HTML/CSS
Java
SAS
SPSS
Deep Learning
Neural Networks
CNNs
RNNs
Transformers
NLP
LLMs
BERT
DistilBERT
FinBERT
Machine Translation
Topic Modeling
Information Retrieval
Semantic Analysis
Classification
SVM
Logistic Regression
Random Forests
GBDT
LDA/QDA
Regression
Unsupervised Learning
PCA
t-SNE
K-means
Hierarchical Clustering
DBSCAN
Bayesian Statistics
Time Series Analysis
Survival Analysis
Multivariate Analysis
DevOps
Database Design
ETL Pipelines
APIs
Image Processing
Web Applications
Streamlit
Flask
AWS
Azure
Hadoop
Spark
Modern Data Tools
Polars
DuckDB
Salt CLI
LangChain
LangGraph
Git
GitHub
Docker
VS Code
Tableau
Power BI
Excel
Data Visualization

Let’s Connect 💌

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 😊 )