Results-driven data scientist with over four years of experience at UPS, specializing in utilizing advanced analytics and machine learning to enhance logistics and supply chain strategies.
Overview
8
8
years of professional experience
1
1
Certification
Work History
Data Scientist
UPS
Louisville
01.2021 - Current
Implemented advanced analytics models to extract predictive insights from structured and unstructured data.
Provided strategic input to departmental projects, enhancing decision-making processes.
Leveraged AI and ML techniques to forecast outcomes based on historical data sets.
Demonstrated expertise in supervised and unsupervised learning applications.
Conducted exploratory data analysis using statistical models like Logistic Regression and Random Forest.
Collaborated with teams to select model development processes addressing business challenges.
Synthesized insights into concise presentations and reports for stakeholder communication.
Developed features for AI/ML models aligned with business requirements.
Data Analyst
UPS
Louisville
12.2018 - 01.2021
Developed code using SQL, R, and Python for data collection and manipulation from diverse sources.
Analyzed data to identify correlations related to classification or regression problems.
Identified opportunities to enhance analytics from predictive to prescriptive for timely decision-making.
Designed and presented analytical visualizations to facilitate fact-based decision-making.
Conducted training sessions on visualization techniques to promote tool adoption.
Created impactful visualizations for internal communication and publication.
Reviewed visualizations to ensure data accuracy and integrity per business standards.
Forecasted global freight demands to optimize network construction based on volume.
Junior Data Analyst
UPS
Louisville
10.2017 - 01.2019
Generated scheduled reports reflecting performance results, gaps, and trend analysis to ensure accountability.
Distributed reports to users, effectively communicating performance outcomes.
Monitored report distribution processes, implementing corrective actions for timely and accurate delivery.
Provided user support for reporting systems, addressing inquiries regarding data sources and maintenance updates.
Reviewed and audited databases and analysis output to ensure compliance with accuracy standards.
Collaborated with stakeholders to define reporting update requirements, including content and distribution protocols.
Developed recommendations for enhancements to data sources and reporting processes to increase accuracy.
Documented reporting structures and functionalities to facilitate ease of replication.