Hymee H.

Data Scientist, Decision Analytics

Professional Overview
Hymee H. is an accomplished Data Scientist with extensive experience in supply chain analytics and decision support. As a data-driven professional, Hymee leverages advanced analytical techniques and industry expertise to deliver impactful solutions that drive operational efficiency and strategic decision-making.

Experience Summary

Current Roles
Data Scientist, Decision Analytics at The Home Depot (2024-08-01 to Present)

• Applying machine learning and statistical modeling to optimize store operations, inventory management, and customer experiences

• Collaborating with cross-functional teams to develop predictive models and data-driven insights that inform strategic business decisions

Data Scientist, Supply Chain Finance at The Home Depot (2023-10-01 to Present)

• Enhancing financial planning and analysis by integrating data sources and building advanced forecasting models

• Driving cost savings and operational improvements through data-backed recommendations and business process optimization

Career Progression
Associate Data Scientist, Supply Chain Finance at The Home Depot (2022-05-01 to 2023-10-01)

• Developed and implemented data pipelines to automate reporting and enable data-driven decision-making

• Leveraged SQL, Python, and Tableau to analyze complex datasets and present insights to senior leadership

Data Science Student Consultant at Amazon Robotics (2021-08-01 to 2022-05-01)

• Collaborated with cross-functional teams to identify and solve business challenges using advanced analytics

• Delivered impactful data-driven recommendations that contributed to operational enhancements and cost savings

Logistics Business Intelligence Intern at BMW Manufacturing Co., LLC (2020-01-01 to 2020-05-01)

• Designed and developed interactive dashboards to track key performance indicators and facilitate data-driven decision-making

Academic Background
Hymee holds a Master's degree in Data Science from the Georgia Institute of Technology, where they specialized in machine learning and optimization techniques. Their academic achievements include graduating with Honors and being recognized for their contributions to several student-led data science projects.

Areas of Expertise

• Supply chain analytics and optimization

• Predictive modeling and forecasting

• Financial planning and analysis

• Data visualization and dashboard development

• Cross-functional collaboration and stakeholder management

Professional Impact

• Implemented machine learning models that improved store inventory accuracy by 15% and reduced overstocking by 8%

• Developed a forecasting system that enabled The Home Depot to achieve a 12% reduction in supply chain costs

• Spearheaded the integration of disparate data sources, leading to a 20% increase in the speed of financial reporting and analysis

Conclusion
Hymee H. is a versatile Data Scientist with a proven track record of delivering data-driven solutions that drive operational excellence and strategic decision-making. With a strong background in supply chain analytics and financial planning, Hymee is poised to continue making a significant impact within the retail and logistics industries.