Yi Lu
About Yi Lu
Yi Lu is a Senior Data Analyst at Procure Analytics, where he has automated report generation and enhanced data processing efficiency. He holds a Bachelor's degree in Mechanical Engineering and a Master's degree in Statistics, and has extensive experience in data analysis and visualization across various organizations.
Work at Procure Analytics
Currently, Yi Lu holds the position of Senior Data Analyst at Procure Analytics, having joined the company in 2020. In this role, Yi Lu has automated the generation of 25-30 reports using Python and R Shiny, which resulted in a 90% increase in reporting productivity. Additionally, Yi Lu has managed over 20 dataflows with complex SQL queries, processing more than 25 million datasets to enhance reporting efficiency by 50%. Yi Lu has also developed over 50 dashboards and 10 campaign emails in DOMO, transforming raw datasets into insightful KPIs on a weekly and monthly basis.
Education and Expertise
Yi Lu earned a Bachelor's Degree in Mechanical Engineering with a minor in Mathematics from the University of North Carolina at Charlotte, studying from 2011 to 2015. Yi Lu furthered education by obtaining a Master's degree in Statistics with a concentration in Computer Science from Georgia State University, completing the program in 2019. This educational background has equipped Yi Lu with a strong foundation in data analysis, statistical methods, and programming, which is applied in current professional roles.
Background in Data Science
Before joining Procure Analytics, Yi Lu gained diverse experience in various roles related to data analysis and technical design. Yi Lu worked as a Graduate Research Assistant at Georgia State University from 2018 to 2019, and as a Junior Data Scientist at ProNovos Construction Analytics for 7 months in 2019. Yi Lu also held positions as a Cost Estimator at Areva and as a Technical Designer at Pattison Sign Group, contributing to a well-rounded skill set in data management and analytics.
Technical Skills and Projects
Yi Lu has developed and maintained web crawling and scraping scripts using BeautifulSoup and Selenium. Additionally, Yi Lu implemented a natural language processing algorithm using PyTorch on Google Colab to predict product categories, significantly reducing task time by 60%. Yi Lu has also built a supply chain optimization model using the K-Mean algorithm and created a data pipeline using Azure Data Factory, leading to a 19% increase in report production.
Professional Experience Prior to Current Role
Prior to the current position at Procure Analytics, Yi Lu held several roles that contributed to expertise in data analysis and technical skills. Yi Lu worked as a Peer Tutor at the University Center for Academic Excellence at UNC Charlotte from 2013 to 2015 and as a CAD Technician at UC Synergetic for 3 months in 2016. These roles provided foundational experience in technical design and mentoring, enhancing Yi Lu's analytical capabilities.