Senior Data Scientist with a Master’s degree in Statistics and over 5 years of experience in quantitative roles, specializing in Generative AI, Machine Learning, Data Science, and Statistical Analysis.
Currently part of the core Skylar AI Product Engineering team, utilizing RAG systems, LLMs, and text-clustering techniques to develop AI-powered observability products.
Previously owned production-grade A/B testing pipelines and built classification and time-series models for digital marketing company, government agency, and consulting firm.
AIOps platform driven by automation to provide forward-looking insights, alerts, and recommended actions
Leading Tech/Mobile App/Digital Marketing company. From start-up to Colorado's largest tech IPO.
GPA: 4.0
Outstanding Graduate
(MS-Statistics) Award
United States Geological Survey. Government Evironmental Agency
Python | SQL | PySpark | R | Linux | Bash | STATA | SPSS
Databricks | Airflow | Docker | Github | AWS | S3/EC2 | Looker | Mode | Slurm Workload Manager | On-premise HPC System
Classification | Time Series | PCA | XGBoost | Clustering | Ensemble | Pytorch | Tensorflow | Langchain | Scikit-learn | HuggingFace | LLM | RAG | Qwen
A/B test | ANOVA | Regression | Experimental Design | Power Analysis
DeepLearning.AI: Generative AI with Large Language Models
DeepLearning.AI: Finetuning Large Language Models
DeepLearning.AI: TensorFlow Developer Professional Certificate
DeepLearning.AI: Machine Learning in Production
Theoretical: Statistical Theory, Probability, Mathematical Statistics
Applied Analysis: Spatial Data Analysis, Applied Regression, Statistical Consulting
ML and Big Data: Deep Learning, Big Data Science, Machine Learning, Independent HPC Study
HuggingFace: Natural Language Processing (NLP) Course
DeepLearning.AI: LangChain for LLM Application Development (RAG)
DeepLearning.AI: LangChain Chat with Your Data (RAG)
Containerized Applications on AWS
Docker/ App Runner/ Elastic Container Service (ECS) / Kubernetes / EKS / Lambda