Dynamic logistics professional with a proven track record at Nordstrom, excelling in inventory management and operational efficiency. Skilled in data analysis and problem-solving, I led a high-performing team at Columbia Hospitality Inc., earning the “Most Efficient Department Award” for two consecutive years. Proficient in SQL and committed to enhancing team collaboration.
Overview
7
7
years of professional experience
1
1
Certification
Work History
Logistics Assistant
Nordstrom
Seattle, Washington
10.2021 - 02.2024
Managed daily inventory counts to keep system accurate.
Managed stock levels within warehouses using inventory control systems.
Provided support in handling day-to-day operational issues related to logistics and inventory management.
Processed orders by selecting appropriate modes of transportations based on cost effectiveness and time constraints.
Resolved discrepancies between physical inventories against system data records.
Implemented and oversaw compliance with safety and handling procedures for all shipments.
Property Management Assistant
Columbia Hospitality Inc.
Seattle, Washington
01.2017 - 10.2021
Led 10 employees by managing daily operations, organizing shift schedules, and facilitating weekly staff meetings with effective leadership and empathy, cultivating a high-performing team that secured company’s “Most Efficient Department Award” for two years straight
Coordinated property maintenance requests to ensure timely resolution and tenant satisfaction.
Conducted regular property inspections to identify maintenance needs and ensure safety compliance.
Supported marketing initiatives by creating promotional materials and updating online listings.
Collaborated with the property management team to implement operational improvements and efficiencies.
Responded to tenant inquiries with professionalism and a focus on resolving issues promptly.
Merit America, Virtual, 2023-2024, Google Data Analytics Certificate (Expected OR Obtained 03/2023), Cultivated skills in the collection, transformation, organization, and visualization of data in order to draw conclusions, make predictions, and drive informed decision-making. Completed hands-on labs and a capstone project (case study) to master the art and science of asking questions, preparing, processing, analyzing, visualizing, and acting on data as encountered in real-world scenarios.
Data Analysis Experience
SQL Data Exploration Project, Virtual, MM/YYYY, Cleaned and analyzed a dataset on COVID statistics in Microsoft SQL Server, creating views with data subsets to analyze specific variables., Imported views to Microsoft Excel to clean and format data for use in visualizations., Created various visuals in Tableau, including bar charts, line graphs, and a map chart, to display data conclusions, then compiled them into an interactive dashboard.
Data Analytics Capstone Project, Google Data Analytics Professional Certificate, Virtual, MM/YYYY, Imported 12 excel datasheets with millions of entries into R, then used tidyr package to clean the datasets and prepare them for analysis., Joined all of the datasets together, created data subsets, and converted each attribute to the proper data type before performing analysis to find differences between members and casual customers., Developed visuals using the ggplot2 package, including scatterplots, to display analysis results and provide meaningful conclusions and recommendations for stakeholders to review.