• Served on a 20 person staff that assists over 100 users on borrowing phones, tablets, and wearable devices• Supported over 50 students in preparing to compete in the biannual Convergence Innovation Competition (CIC)• Engaged in collaborative projects within the lab that focused on data analysis, application development, server administration, and prototype design

• Developed and implemented a quantitative scoring model to assess and quantify customer risk and enhance downstream decision-making processes• Collected and processed extensive risk-related data of 5 million customer records from multiple databases• Applied comprehensive feature engineering techniques and statistical machine learning models to select relevant risk indicators and develop a fine-tuned risk-scoring model• Designed and built an automated system to store monthly risk-score records for all customers, generating valuable historical risk data for in-depth analysis of trends and patterns related to risk

• Contributed as a member of a collaborative 15–person team that utilized Salesforce cloud-bases solutions to optimize the needs of the main client, Dish Network• Designed and implemented the process of tracking over 1000 Dish Network stores in a Salesforce Organization• Executed over 100 test cases and scripts to rigorously evaluate key components of the Salesforce Organization• Engaged in collaborative client meetings to compile customer requirements and create an instructive roadmap that captures client needs