- Designed and created an internal pipeline-monitoring tool for my team using React.JS, Relay, GraphQl, & PHP- Implemented backfilling capabilities from www within pipeline-monitoring tool- Incorporated pagination, filtering, and grouping of data- Responsible for UI/UX design & communicated cross-functionally with other teams

• Implemented a way to authenticate business using website crawling/scraping• Used Hack/PHP and React.JS to schedule and display data of website crawls inexisting workflows• Communicated and worked with multiple internal teams

- Led weekly supplemental sessions of 2-4 students for the class CS61B Data Structures and Algorithms - Created & conducted mini lectures on data structures, graph theory (A*, Dijkstra, Prim, Kruskal), and runtimes

- Assisted in weekly labs of 20~ students by answering questions and frequent check-ins- Taught in Python how to create simulations and test null hypothesis- Taught introductory statistics concepts such as linear regression, A/B testing, etc.

As a Sales Associate, I help to organize and plan our sales events when we sell our products on our university campus. Our sales events are organized around themes and we incorporate unique and creative activities to engage with and attract customers. (Skills Involved: Event Planning, Sales Pitches, Use of Square to Record Transactions)I also helped with EthiCAL's custom orders. During our custom order process, we use email to provide price quotes and confirm details such as design, size distributions, and shipping options with our customer. (Skills Involved: Customer Service, Quick Responses, Clear Communication, Cold-Emails, Business Emails)

- Helped out students in CS61A (an introductory CS course) during lab and office hours with Terminal and homework and projects programmed using Python, Scheme, and SQL

Under the Perception Science Program offered at UC Berkeley Whitney Laboratory, I learned the intricacies of the brain and vision itself. With a team of two other students, we designed and coded an ex­per­i­ment on crowd­ing and an­i­macy in Mat­Lab. We an­a­lyzed the data using Matlab (once again), wrote a formal re­port, and also pre­sented our re­sults to postgrads and the professors in the program.