Portfolio

Experience

Chronos - Open Source Developer Tool (Oct. 2023 - Current)

Developed a microservices-based application architecture using TypeScript, enabling independent scaling of each service with static typing for faster error detection during development and enhanced tooling for better maintainability post development
Conducted Test-Driven Development in Supertest with its specialized design in HTTP assertions enabling seamless testing of API endpoints and supporting integration testing between microservices
Containerized each microservice application with Docker, providing portability, consistency, and scalability for seamless deployment in diverse environments with 30% faster runtime
Developed a custom HTTP request handler using Axios that communicates with specified API endpoints handling response and error interceptors for enhanced functionality, and supporting credentials with secure communication.
Utilized React Router for a component-based structure and declaratively presents routing logic and centralize configuration
Configure Prometheus to scrape metrics from containerized application and visualize container health in Grafana dashboard
Achieved faster development using Vite with hot module replacement server and on-demand loading to reduce bundle size

Senior Business Analyst @ Capital One (Feb 2022 - Oct 2023)

Delivers high value data, analysis, & reporting solutions to support company’s flagship digital servicing platform, which is used by over 40 million monthly active users and supported by over 500 internal software engineers
Wrote complex SQL queries in Snowflake and Python scripts in Databricks to automatically extract, transform and load (ETL) datasets from AWS S3 data warehouse into a easily accessible format for analysis across over 100+ analysts among the enterprise
Created Tableau and Quicksight dashboards related to resiliency efforts, internal users, technology changes to promote data driven actionable business insights across stakeholders and C-suite leadership resulted in 20% increase in team performance
Developed ordinal logistic regression model with mobile platform user data which identified improvement oppotunities on promoting/detracting features that contributed to 25% increase on user popularity

Data Analyst @ Centurion Health (Jan 2020 - Jan 2022)

Developed automated data pineline in SAS to collect, clean and store millions of patients claim and prescription data, which reduced data mining turn around time by 50%

Used Markov Random Field to build logistic regression models from 911 call data during 2015 Baltimore riots
Applied pseudo-likelihood estimation to maximize essential parameters to detect change-point
Predicted possibility of large-scale violence through detection of change-points in Markov Chains

Built multinomial logistic regression model to assess wine quality (rank from 1-10) with variables such as residual sugar, alcohol, and density etc.
Conducted tests such as VIF, Stepwise Variables Selection, Linear and Quadratic Discriminant analysis, KNN, and Random Forest to cross-validate and further optimize the model

Built a Random Forest model to quickly detect anomaly and classify fraudulent transaction
AUPRC was utilized to measure model accuracy because of unbalanced data

Biostatistics, M.S. American University (May 2022)
Food Science, B.S. University of Maryland (May 2018)
Developed linear regression model to predict prescription demand by evaluating patient and prescriber prescription patterns, which helped avoid prescription supply insufficiency across facilities