Geiger Data Solutions
DATA SCIENCE · ANALYTICS · MACHINE LEARNING
Turning complex data into clear, useful decisions.
I’m Jessica Geiger, a data scientist with a background in pharmaceutical R&D, human physiology, and applied machine learning. I build practical analytics and modeling workflows with Python, SQL, business intelligence tools, and cloud technologies.
Featured work
CGRP Drug Discovery Machine Learning
A machine-learning workflow for predicting the potency of CGRP receptor antagonists from molecular structure. The project covers chemical data preparation, molecular fingerprints, feature selection, model tuning, evaluation, and deployment through a Streamlit application.
Python · scikit-learn · ChEMBL · Molecular Fingerprints · Streamlit
Test performance: R² 0.815 · RMSE 0.445 pIC50
Retail Analytics & Business Intelligence
An end-to-end analytics project built from a retail sales dataset, moving from data validation and feature engineering to SQL business analysis, dimensional modeling, and Power BI reporting.
Python · Pandas · DuckDB · SQL · Power BI · Regression
Dataset scale: $2.30M sales · 5,009 orders
What I work with
Data & Programming
Python, SQL, R, Pandas, NumPy, DuckDB, Git/GitHub
Machine Learning
scikit-learn, regression, classification, ensemble methods, feature engineering, model evaluation
Analytics & BI
Power BI, Tableau, Excel, data visualization, business analysis, dimensional modeling
Cloud & Platforms
AWS, S3, Athena, EC2, Streamlit, VS Code
Life sciences + data science
My technical training is paired with experience in pharmaceutical R&D and academic training in human physiology and biochemistry. I am especially interested in work where data science can support scientific, healthcare, and research decisions.