This featured candidate is an experienced supply chain optimization analyst with over 8 years of experience in logistics, sourcing, procurement, and inventory management. He is also proficient in data science with over 2.5 years of expertise in delivery route optimization, inventory management, and driver performance enhancement using machine learning (ML)! Please take a moment to review his professional summary:
PROFESSIONAL HIGHLIGHTS
- Highlighting extensive supply chain optimization experience, including logistics, sourcing, procurement, and inventory management.
- Proficient in data science, specializing in delivery route optimization, inventory management, and driver performance enhancement.
- Highly-skilled in optimization/operations research, machine learning, and various statistical techniques.
FUNCTIONAL/TECHNICAL SKILLS
- Proficient in Python and Julia for Data Science and Optimization, with expertise in Data Mining, Business Forecasting, and Time-Series Analysis. Skilled in Machine Learning, Python Programming, and experienced with PostgreSQL, AWS-RDS, and EC2.
- Additionally, possesses strong capabilities in Tableau, advanced Excel, including Excel VBA, and SPSS for statistical analysis, enabling comprehensive data-driven decision-making processes.
YEARS OF EXPERIENCE: Over 2.5 years of experience in data science. Over 8 years experience in supply network design and modeling, logistics, sourcing, procurement, and inventory management.
CAREER GOAL: Currently seeking opportunities in supply chain network optimization and data analytics.
PREFERRED EMPLOYMENT TYPE: Open to permanent, contract, and consulting.
PREFERRED LOCATION: Open to onsite, remote, or hybrid across the U.S. and Canada.
In addition to his technical skills and supply chain knowledge, he possesses various soft skills, including excellent communication, team building, strategic decision-making, and a commitment to continuous learning!