Xiaojun Ji

XiaoJun Ji has a diverse work experience in data analysis and business intelligence. They currently work at ShopBack as a Data Analyst starting in 2022. Before that, they worked at foodpanda where they held the position of Senior Business Intelligence Analyst from January 2022 to June 2022. Prior to that role, they were a Business Intelligence Analyst at foodpanda from March 2021 to December 2021. Throughout their time at foodpanda, XiaoJun Ji conducted comprehensive data analysis projects to improve the company's competitiveness and allocate budget for campaigns effectively. They also designed and built dashboards and automated reports using Tableau and Data Studio to track business performance and gain insights. They collaborated with the Finance team for annual budgeting and monthly forecasting and led data warehouse training sessions for new joiners.

In addition, XiaoJun Ji worked at DBS Bank as a Data Analyst from June 2020 to December 2020. During their time at DBS Bank, they led a project to develop machine learning models and improved the accuracy of previous models for predicting the probability of customers engaging in illegal activities. They also conducted data analysis using Python and visualized relationships between features and target using Tableau. They had a deep understanding of multiple datasets and effectively communicated the logical relationship between them to other users.

XiaoJun Ji completed their Bachelor of Science degree in Accounting and Finance from the University of London from 2015 to 2018. XIAOJUN then pursued a Master's degree in Master of IT in Business (Analytics Track) from Singapore Management University, which they completed from 2019 to 2020.

In addition to their formal education, XiaoJun Ji also obtained several certifications. XIAOJUN completed a Machine Learning certification from Coursera in September 2020. In May 2020, they obtained certifications in Image Processing in Python and Introduction to Python from DataCamp. From April 2020, they acquired certifications in Building Web Applications with Shiny in R, Data Visualization with ggplot2 (Part 1), Interactive Data Visualization with plotly in R, and Introduction to Linear Modeling in Python. Lastly, in March 2020, they received certifications in Cleaning Data in Python and Data Manipulation with pandas, both from DataCamp.