Build data pipelines and performed data analysis for high throughput affinity selection drug discovery platform

• Maintain relational data warehouse in Big Query (Google Cloud Platform) utilizing ETL processes

• Build and parallelize data ingestion pipeline, reducing compute time by 80%

• Improve data cleaning and transformation techniques to standardize data formats and enrich datasets with additional metrics

• Build machine learning cheminformatics tool, enabling chemists to analyze similarity of target binding mechanisms

• Analyze platform productivity by integrating modern and historic data with SQL queries, performing statistical analyses in Python, and presenting results by building visualization dashboards in Spotfire

Develop banking app for fintech startup addressing financial inclusion for the unbanked in Namibia

• Build web app for tracking spending and current account balances using JavaScript (Node, React)

• Establish microservice infrastructure on AWS (EC2, S3, Lambda)

• Research potential machine learning model architectures for a credit scoring service, focusing on data synthesis and transparency

Bionformatics data analysis of deep transcriptomic datasets to study the role of aging in circular RNA

• Create and execute bioinformatics pipelines in HPC environment

• Statistical data analysis and visualization in R

• Quantitative Biology Research Fellow, Blavatnik Family Foundation Undergraduate Researcher, Gordon Science Research Fellow

• Teach weekly one-on-one coding lessons to K-12 students in Python, Java, Data Structures & Algorithms using a project-based curriculum

• Maintain records covering multiple courses and skill levels, ranging from 5-12 students per week