About me
From spearheading the development of centralized reporting tools to collaborating across departments to streamline operations, my diverse experiences have equipped me with the ability to thrive in dynamic environments. With a focus on continuous improvement and a commitment to delivering excellence, I am confident to make a meaningful impact on any team.
Work Experience
FENDI - LVMH Group
03/2023 - 02/2024
- Developed a centralized Operations dashboard using Power BI, significantly improving reporting efficiency and decision-making processes across store and corporate levels.
- Led the development of an automated scheduling tool for guard services, optimizing resource allocation and enhancing security measures.
- Played a pivotal role in developing a centralized training platform for the Operations department, facilitating seamless onboarding processes.
- Managed the creation and maintenance of performance reports for the Americas Retail Network, facilitating goal-setting and strategic planning efforts.
- Implemented reporting strategies to support cross-functional teams and management, fostering collaboration and enabling informed decision-making.
- Supported in budget analysis and target forecasting, contributing valuable insights to strategic financial planning processes.
- Collaborated closely with the Finance department on invoice preparation, ensuring accuracy and prompt payments.
Education
BBS in Computer Information Systems - Data Analytics
CUNY Baruch College - New York, NY
Relevant Coursework:
Data Mining and Machine Learning, Applied Natural Language Processing, Programming for Analytics, Information Systems, Service Operations Management, Principles of Finance, Management
AA in Business Administration - Honors
Green River College - Auburn, WA
Relevant Coursework:
Fundamentals of Statistics, Business Statistics, Introduction to IT, Computer Information Systems, Calculus I, Macroeconomics, Microeconomics, Business Law
Certificates
Data Analysis and Visualization
Learned how to analyse, compare, and present compelling and actionable data. Discover the best methods for visualizing data using line graphs, histograms, bar charts, scatter plots, and more.
Advanced Data Cleaning in Python
Learned how to manipulate and clean data by identifying and removing inaccurate records from a dataset using Python libraries such as Pandas and NumPy.
Intermediate SQL for Data Analysis
Learned how to use string patterns and ranges to query data, how to sort and group data, and how to write perfect queries to extract and analyze data from real SQL databases.