Jasmine Lin
About Jasmine Lin
Jasmine Lin is a Data Analyst at Arista Networks with a background in data analytics, computer science, and economics.
Professional Experience at Arista Networks
Jasmine Lin has been working at Arista Networks as a Data Analyst since 2022. In this role, she has implemented a pricing prediction model to improve decision-making processes by identifying inconsistencies in stated pricing strategies. She has also investigated sustainability programs among Arista's peer group, prioritizing them using scientific approaches and measurements. Furthermore, she collaborated with the audit team to develop an unusual discount detection model for identifying outlier resellers, end customers, and transactions.
Internship at Arista Networks
Jasmine Lin served as a Data Analyst Intern at Arista Networks from 2021 in Santa Clara. During her internship, she provided visualizations and data manipulation using Google Data Studio for ERM risk assessment reporting. This hands-on experience contributed to refining her skills in data visualization and manipulation, aiding the company in crucial risk assessments.
Sales Associate at Chenbro Micom Co., Ltd.
From 2018 to 2019, Jasmine Lin worked as a Sales Associate at Chenbro Micom Co., Ltd. in Cupertino. Although her tenure was brief, it provided her with valuable industry exposure and experience in sales functions, complementing her data analytics expertise.
Production Management Intern at Makalot
In 2017, Jasmine Lin undertook an internship in Production Management at Makalot in Taipei. During her 1-month internship, she gained insight into production management processes and practices, further broadening her understanding of industrial management.
Academic Background
Jasmine Lin pursued a Master of Science in Data Analytics at San Jose State University from 2020 to 2021. She also studied Computer Science at De Anza College in 2019. Additionally, she earned a Bachelor's degree in Economics from National Chung Cheng University, where she studied from 2014 to 2018. Her diverse academic background has equipped her with a strong foundation in both technical and analytical disciplines.