Available for opportunities

Isaac
Beaumont.

Data Scientist & Engineer bridging the gap between raw data and real decisions — through statistical modeling, machine learning, and visualization that actually gets used.

Years Experience
Isaac Beaumont
Python ML / AI SQL R Power BI Tableau
B.S. Statistics / Data Science
Open to Remote & On-site
github.com/ikebeau

Tools & Technologies

A deep stack across the full data lifecycle — from ingestion and wrangling to modeling and stakeholder-facing dashboards.

Python Ecosystem
Pandas NumPy Scikit-learn PyTorch Matplotlib Seaborn Plotly BeautifulSoup FastAPI
Machine Learning & AI
Supervised Learning Unsupervised Learning NLP Time-Series Forecasting A/B Testing Feature Engineering XGBoost LLM Integration
Data Engineering & SQL
PostgreSQL MySQL SQLite Spark SQL dbt ETL Pipelines Web Scraping
Visualization & Reporting
Power BI Tableau Looker Excel / Power Query DAX R Shiny
R & Statistics
tidyverse ggplot2 caret Statistical Inference Regression Analysis Hypothesis Testing
Cloud & Dev Tools
Azure Git / GitHub Docker Jupyter VS Code Linux / Bash

Featured Projects

Selected work spanning predictive modeling, data engineering, and business intelligence.

Let's Work Together

Open to full-time roles in data science, analytics engineering, and machine learning — as well as consulting and freelance projects. If you have an interesting problem that needs a data-driven solution, I'd love to hear about it.

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