Salesforce Anywhere (2020-2021)

Einstein Voice Assistant, Salesforce Research (2019-2020)

• Lead a 3-person dev. team to build a web application for online food ordering• Got 30% of our student body to signup for accounts• Designed out database schema for food orders and built out V1 of our WebSocket for real time ordering feed for restaurants

• Built several React Native bridge libraries to support communication between Objective-C and React-Native layer in Field Service Hybrid App• Developed barcode scanner feature, built out react-native bridge, and unit test for upcoming 5.0 Release• Conducted QA testing and fixed over +10 bugs with priority status 1 for upcoming 5.0 Release

• Integrated first react-native UI component and necessary dependencies into iOS Mobile Field Service App• Conducted QA testing, fixed bugs, and wrote a unit test suite with XCTest and OCMock for the iOS MFS App

• Developed C# script that identified malicious login attempts and compiled it into a Excel report for Sys Admins• Built a C# script that compiled relevant Twitter results and news regarding OMAM • Updated SQL Server Database and developed SQL procedures for main web application

• Developed VBA Scripts to automate Weekly Sales Reports for failed trades or other processing errors • Coordinated and developed other Excel Macros for VP supervisor • Worked with Windows Task Manager, Microsoft Outlook, Command Prompt

• Participated in User Experience Meetings for their website and provided suggestions for their platform• Aided with onboarding for new college interns: college job board postings, logistical emails...ect• Compiled weekly news updates for the company's monthly news article on topics such as education inequality and promising educational startups

At Proclivity Media, I primarily worked on software development side of advertising operations, but that included understanding the business model and integrating programs that aided Ad-Operations team:• Developed a recommendation engine in Python - returned deals that outperformed in certain cyclical periods utilizing the Holt Winter's Method for Futures Forecasting• Worked with Hadoop and Database languages such as HiveQL and SQL• Analyzed specific seasonal trends and historical data across different periods - isolating KPI's and removing outliers• Develop an email alert script that identified underperforming advertising deal ids and alerted Ad-Operations teamWith a group of fellow interns and the guidance of the Proclivity Media team, we were able to develop a recommendation engine that leverage ad data to return ad deals that outperformed in certain periods and projected future advertising opportunities where certain advertising metrics yielded the highest return.