Nicholas Perry
Production Scheduler @Tiffany & Co.
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WORK HISTORY
Production Scheduler @Tiffany & Co.
Managed and enforced adherence to the production schedule for CNC, Machine Setting, Stamp and Strike, and Mass Finish with over 95% schedule adherence grades.• Collaborated with Inventory Control, Planning, Process Engineering, New Product Integration and Manufacturing Management to ensure proper flow of goods and processes through over 50 work centers.• Created and executed work orders and reworks on a daily basis based on ad-hoc business needs and customer demand.• Supported an On Time Delivery (OTD) goal of 95% through daily review and tracking of past due and on time items.• Improved department visibility into equipment failures and machine designations through the creation of PowerBI dashboards and automated DAS reports
EDUCATION
Merrimack College
Master of Science - MS, Data Science
Stonehill College
Bachelor of Science - BS, Biology Major, Data Science Minor
ABOUT NICHOLAS PERRY
Experienced bioinformatics and clinical data analyst. I have worked with clinical data for cancer patients across a broad array of disease ontologies so that these patients could be set up with optimal clinical trials and therapies to improve the patient outcome. I also successfully managed and coached a team of analysts to analyze clinical data with low error rates and high efficiency.I have experience working with large datasets and analyzing them through standard operating procedures and work instructions. I also have experience leading a team through coaching and training. My experiences also allowed me to develop skills in writing SQL queries and writing scripts in Python.Technology Skills:• Linux (ubuntu)• Java• Python• Microsoft Office Suite • R• SQLManagement Skills:• Cross-Team Collaboration – Developed a Python plug-in script in a cross-functional project with the Clinical Laboratory, Client Services, Biopharma Operations, and Clinical Bioinformatics teams to optimize patient rework scenarios in the lab. Script led to fewer errors and reduced manual work in the rework process leading to three discrete batch steps daily rather than a continuous effort.• Coaching – Successfully developed and improved a team of six bioinformatics analysts to achieve low error rates, rapid turn-around-time, and high employee engagement while processing clinical data for cancer patients.• Training – Onboarded bioinformatics analysts on standard operating procedures and work instructions to reach high levels of accuracy and precision. Adjusted and adapted training procedures and methods to create a more individualized experience.
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