• Built pipelines that gather data from third-party tools and perform various business intelligence analyses

• Integrated pipelines with external tools including Stripe, Ordway, Salesforce, Hubspot

• Resolved operational issues and identified bugs in unfamiliar codebases and learn new third-party tools and APIs as needed

• Analyzed huge datasets with millions of rows using PostgreSQL, DBT, APIs, and AWS

• Produced monthly, quarterly, and weekly financial reports for customers’ CFOs’ offices using python pandas, Tableau, and the company’s in-house software

• Enriched string data using machine learning Natural Language Processing

Worked as a researcher at the Mechatronics Research Laboratory. Developed and validated time-series predictions using unsupervised learning with LSTM and matrix profile.

• Investigating the impact of makeup on detecting facial biometric systems and misclassifying an individual.

• Developing convolutional neural networks and autoencoders to train computer algorithms to recognize pictures and identify failure modes

• Also studying CNN behaviors with a limited dataset