A Data Explorer
I navigate the heights of data and innovation, crafting advanced models and neural networks that drive impactful change. With over 50 deployed machine learning models in healthcare and defense, my latest work achieves 7-figure ROI annually. Explore my featured work below or visit my GitHub for a broader view. Let’s connect to scale new data-driven insights together!
Experience
Data Scientist II
Humana
2023 - present
Deployed ML models and statistical testing for marketing insights, using advanced algorithms and collaborating with cross-functional teams.
Data Analyst II
Cognitive Performance Group
2022-2023
Developed AI and statistic insights for the U.S. Navy, boosting operational efficiency and securing follow-on funding.
Machine Learning Researcher
The University of Louisville
2020-2023
Conducted interviews and qualitative analysis to uncover insights on ML experts' model selection strategies.
Competencies
Data Engineering
Designing and optimizing data pipelines is essential for seamless data exploration and robust modeling.
Tools I use regularly:
SQL
MySQL
SAS Proc SQL
PostgreSQL
NoSQL
MongoDB
Elasticsearch
Big Data
Apache Spark
Hadoop
Databricks
Data Warehousing
Azure Synapse Analytics
Snowflake
Data Science
Transforming data into insightful stories. With scientific rigor and versatile tools, I deliver actionable insights to meet any business goal.
Tools I use regularly:
Languages
Python
C++
Rust
Dashboard Development
Tableau
PowerBI
Advanced Statistics
Probabilistic Modeling
Experimental Design
Multivariate Analysis
Time Series Forecasting
Machine Learning Development
Building intelligent systems that drive impact. With advanced algorithms and robust engineering, I create scalable, adaptable solutions to power business growth.
Tools I use regularly:
Development Libraries
TensorFlow
PyTorch
Scikit-Learn
Algorithms
Ensemble Methods
Graph-Based Algorithms
Neural Networks
SVM/Kernel Methods
Reinforcement Learning
Dimensionality Reduction Manifold Learning
Tuning and Deployment
Advanced Tuning Methods
End-to-end Deployment
Docker
Kubernetes
Recent Projects
Network Anomaly Detection
I developed an anomaly detection model for network intrusion, combining clustering (such as DBSCAN) and deep unsupervised methods like autoencoders and GANs to identify network intrusions at a high accuracy while prioritizing a reduction in false negatives.
* Project being constructed in Github and currently unavailable to view (10/29/2024)
Heathcare Risk Assessment
This is a predictive model for healthcare risk assessment, medical gap closures, and propensity to marketing efforts to close medical gaps. I evaluate neural network's and ensemble learning methods to determine the highest effectiveness and explainability combination.
Sequential Decision Making
I used reinforcement learning to create a recommendation system that helps in maritime surveillance and anomaly detection by adapting to high-traffic and high-risk zones. I evaluated ROI metrics to determine the time and cost savings of the recommendation system.
* Project being constructed in Github and currently unavailable to view (10/29/2024)