I'm a Data scientist who loves machine learning, experimentation, and improving processes. Currently I work at Sutro Biopharma and work with bioprocess data to delivery value - whether it's solving tech transfer/scale-up issues for GMP manufacturing or building predictive models to improve batch success rate. I love digging into data and building solutions that bridge science, data, and outcomes. I have a MS in Analytics from Georgia Institute of Technology, as well as MS and BS in Chemical Engineering (Stanford, University of California Berkeley).
Python, Multivariate Analysis, Process Monitoring, Anomaly Detection
How do we determine if a batch (process) in-progress is behaving 'good'? We look at how to aggregate multi-modal time-series process data into a training set, then use it to detect anomalies for incoming instances.
Python, NLP, Streamlit, Recommendation System
Flavor-based Recipe Recommendation App using NLP. Recommends recipes based on similarity of molecular flavor profiles with user-defined nutritional constraints.
Signal Processing, Python, Regression, Feature Engineering
Postmeal Peak Prediction using Continous Glucose Monitoring (CGM) devices. Applied ML on engineered physio-features to predict glycemic responses from continuous glucose monitoring data.
Python, Regression, Data Pipelines, Multivariate Data Analysis
Analysis of Sleep Data (Oura) and Symptoms
Python
NumPy, Pandas
Scikit-Learn, PyTorch
Shiny, Streamlit
SQL
Git, Docker
AWS
Seaborn, Plotly
Jupyter Notebooks
Regression and Statistical Analysis
Time Series Data
Feature Engineering
Natural Language Processing
ETL Pipelines
Design of Experiments
Classification
Clustering
Process Improvement & Automation
Project Management
Tech Transfer and Scale-up
Root Cause Analysis
Dashboards
A/B Testing
Recommendation Systems
Techno-Economic Analysis
I'm always open to new ideas, opportunities, and collaborations, both personal and professional. Don't hesitate to reach out!