・Setup data science best practices as founding Data Scientist at a Cybersecurity Startup・Created data pipeline for network monitoring, aggregating >10 MB traffic to a packet report・Applied classification techniques to fingerprint network devices using ensemble learning・Applied graph anomaly techniques to network devices to detect malicious behavior

• Worked on 3 EDA projects analyzing manufacturing parts defects • Performed hypothesis testing and root cause analysis with possible defect factors and summarized findings• Co-led journal club with Sr. Data Scientist to discuss current research in manufacturing Machine Learning

・Used statistical analysis in R to develop novel metric to quantify wafer non-uniformities・Created Gage R&R analysis script to both read achieved data and collect new data. Output in Spotfire dashboard・Applying ML (alpha-RNN, PCA/Holt-winters forecasting) models to predict time series data for failure analysis

• Created a chatbot using Slack API and python to replace drivers needing to call in to report information. Now drivers use this automated response bot to log their information, which is then stored on a local database for NetSuite processing

• Developed an electrochemical sensor based on a specifically-doped laser-induced graphene layer for sensitive and selective detection of BPA• Defended written and oral undergraduate thesis• Selected to present poster at Undergraduate Research at the Capitol (Spring 2020)

Collected optical data of h-BN using low temperature (4 K) cathodoluminescence and SEM Analyzed intensity spectra using MATLAB to corollate and quantify intrinsic h-BN defects

• Conducted research focusing on the effects of gold seeds on the growth of TMDs• Learned advanced techniques to characterize nucleation and growth patterns• Began writing research manuscript on techniques and discoveries

• Developed method and growth parameters for 2D WS2 using Chemical Vapor Deposition• Used Au as seeding agent to promote WS2 growth• Interpreted Au/WS2 correlation using SEM, AFM, and RAMAN spectroscopy