Key Caliber
Senior Data Scientist (under NDA) • May, 2022 — Dec, 2024
- Contributed to Spark data pipeline within Kubernetes cluster
- Analyzed network data using networkx and scikit-network
- Wrote recommendation algorithm using resources from scikit-learn
- Produced embedding using pytorch and a neural network
- Integrated algorithms into development using a flask api and argo scheduler
- Provided algorithmic transparency using shap values
Near Americas
Data Scientist • Oct, 2014 — Nov, 2021
- Wrote frameworks to provide descriptive statistics for large (TB) geospatial datasets and advised executive team on results
- Built a big data pipeline to detect linear anomalies in geospatial data
- Created lookalike audiences for marketing consisting of 100 million mobile devices
- Estimated visitors at locations of interest
- Designed and created python software to estimate lift of mobile ads and to detect retail stores that closed
- Worked with product team to write internal and external documentation of software created
Burr
- Added a deep researcher example to Burr
- Languages used are python and typescript
University of California, Los Angeles
M.S., Statistics
Columbia University
Ph.D., Political Science
Stanford University
B.S., Symbolic Systems
Languages
- English (fluent)
- German, A1 (certificate November 2024)
Programming Languages
- Python (fluent)
- C (intermediate)
- Javascript (beginner)
Coursera Certificates
- Neural Networks and Deep Learning
- Generative AI with Large Language Models
Coding Frameworks and Libraries
- Hadoop, Spark, Hive, pyspark
- pandas, numpy, scikit-learn, networkx
- pytorch, langchain, langgraph
- flask, fastapi
- matplotlib, seaborn, D3.js
Algorithms
- linear regression, logistic regression, random forests, naive bayes
- kmeans, hierarchical clustering, dbscan
Databases
- HDFS, PostgreSQL, MySQL, Redshift
Containerization
- Docker, docker-compose, Kubernetes
Workflow Management Software
- Jira, Github actions, Gitlab
