Welcome! I am an experienced data scientist with over ten years of expertise leading projects that apply artificial intelligence, machine learning, and natural language processing to create business value.
I actively collaborate with product stakeholders to align technical solutions with business objectives and take a hands-on approach in coding using generative AI, NLP, and many other ML methods.
I currently live in Maryland, right outside Washington, DC.
AI Methods
- Retrieval Augmented Generation (RAG)
- Fine-tuning LLMs
- Prompt Engineering
- Embeddings
- Conversational AI
- Automated Reporting
- Local Open-source LLMs
- Named Entity Recognition
- AI Models
- gpt-4o
- llama3.1 (8b)
- mistral (7b)
- claude-3-5-sonnet
- bert-base-uncased
- DistilBERT
- text-embedding-3-small
- GIST-Embedding-v0
- AI Tools
- Hugging Face
- SentenceTransformers
- OpenAI
- Pinecone
- ChromaDB
- ollama
- langchain
- llama-index
Favorite Python Packages
- numpy
- pandas
- scikit-learn
- transformers
- spacy
- gensim
- keras
- xgboost
- statsmodels
- altair
Technical Skills
- Python
- SQL (Snowflake, Postgres)
- R
- git
- Docker
- CI/CD
- quarto
- bash
- REST APIs
- AWS (S3, EC2, Athena, Sagemaker)
- Linux
- Airflow
- Jupyter
- VSCode
- RStudio
- Streamlit
- Gradio
- Shiny
- Agile / Scrum
Machine Learning / Statistical Models
- GBMs (xgboost, lightgbm, catboost)
- GLMs including linear, logistic, Poisson, and Tweedie
- GAMs
- Random Forest
- Fully-connected neural networks
- ARIMA
- LSTM for time series
Favorite R Packages
- dplyr
- tidyr
- ggplot2
- tidyverse
- mgcv
- quarto
- reticulate
- knitr
Background
I am currently an SME Data Scientist at ManTech, working to implement AI in the federal government, focusing on security. I also work as a freelance consultant across various sectors, including higher education, HealthTech, and finance. Additionally, I have served as an adjunct professor at the [University of Baltimore Merrick School of Business](https://www.ubalt.edu/schools-and-colleges/merrick-school-of-business/index.cfm).
Previously, I was a Staff LLM Data Scientist at Magnifi by TIFIN, where I build an AI-powered copilot for investments. Before that, as a Senior Principal Data Scientist at Invesco, I leveraged AI/ML to enhance performance in multiple areas, including real estate, fund management, ETF development, and government affairs. I also held a data science role at AIG on their Science team, working across investments and insurance to develop models for travel insurance and workers' compensation. My career began at Swiss Re, where I trained as a Casualty Pricing Actuary, working in both reinsurance and direct insurance.
I hold a BA in Mathematics (with a minor in Economics) and an MA in Statistics, both from Columbia University.
After living in Manhattan for 16 years, I now reside in Maryland with my wife and two children.