Professional SummaryTransportation Logistics Coordinator knowledgeable about logistics analysis, scheduling and inventory management. Holds active Secret Security Clearance and valid Ohio driver s license. SkillsExpense controlMaterials accountabilityNatural mentorExcellent time managementMicrosoft OfficeData entry expertProcurement specialistTraining and developmentExpense allocationSkilled multi-taskerKnowledge of national geographyProactive Work History2011toCurrentShift Supervisor Data Analyst Logs and Records ClerkInternational Paper Company Lafayette,LA,Conduct airborne electronic warfare suppressing enemy radar utilizing electrical jamming pods and High-Speed Anti-Radiation (HARM) missiles while collecting electronic intelligence.Conducted all Optimized Naval Aviation Logistics Command Management Information Systems (NALCOMIS) hardware and software related issues using SYBASE database and Windows NT network operations system resulting in minimal down time Screened and inputted over 500 personnel for proper work center verification in conjunction with Office of Personnel Management (OPM) Created Excel spreadsheets and presented PowerPoint presentations to aid Officers in charge and senior enlisted maintenance personnel in making timeline decisions to meet goals set by Chief of Naval Operations Conducted weekly continued process improvement training to over 100 maintenance professionals, resulting in reduction of man-hours and the elimination of wasteful practices to all divisions within the maintenance department Coordinated with the units Quality Assurance division to ensure programs were in compliance with the Naval Aviation Maintenance Program (NAMP) 4790.2b Supervised the maintenance of 20 Aircraft logbooks and five Naval Aviation Maintenance Programs to include Data Analyst, Maintenance Administration, Aircraft and Engine Accounting, Technical Directive Program, and Monthly Maintenance Planning Supervised, trained, and mentored six Marines in their performance of duties.2007to2010Lead Wrap OperatorAssociated Hygienic Products LLC City,,AHP is the largest manufacturer of infant disposable diapers, training pants, and adult incontinence products which operates in a 376,000 square foot building while employing over 600 people.Supervise entire shift managing seven different people Maintain multiple lines at the same Troubleshoot all lines which requires the ability to run all lines, 8 total lines while each had its own differences and set up Report numbers line efficiency and lines waste to main supervisor every night along with audits of each machines output Trained over twelve people as wrap operators Miscellaneous Projects Wrote procedures for machine process book took notes on lines performance and ways to better the line Had great influence on engineering new thread paths and designs for lines five, six, seven, and eight Know measurements and terminology of a diaper and diaper line Know measurements and terminology of wrap tape and wrap lines Change out glue filters shims, hoses, belts, shafts, idle rollers, gears, etc.2006toCurrentAssistant OperatorMulti-Plastics, INC City,STATE,Film and sheet plastic manufacturer used for use in window envelopes as well as food, product packaging, and thermoformed containers Set up three inch diameter steel shafts with multiple spacers, varying in fractions with three inch cores.Prep pallets for shipping with finished rolls in accordance with specified weight limitations.Calculate weight for loading purposes.Assist operator in spacing razor blades which cut material to selected width in accordance with cores prepped on shafts. EducationExpected intotoHigh School Diploma Delaware Hayes High School,Delaware,OHGPA Expected intotoHigh School Diploma ,,GPA SkillsAccounting, Analyst, book, hardware, CPI, database, Film, Logistics, notes, managing, Excel spreadsheets, Office, PowerPoint presentations, window, Windows NT, radar, Management Information Systems, Naval, network, packaging, personnel, Personnel Management, Process Improvement, Quality Assurance, shipping, Six Sigma, supervisor, SYBASE, Troubleshoot  SEP  At Scale, we are currently expanding one of the most significant hybrid human-machine systems. Our innovative, self-regulating platform automates the training and evaluation of labelers, guaranteeing ongoing quality and efficient allocation. With an extensive network of hundreds of thousands of skilled human labelers, we handle billions of annotations every month, presenting a range of fascinating technical complexities. Our team, spanning product, systems, and infrastructure engineering, is dedicated to overcoming these challenges, driving forward AI development at an accelerated pace. Join us and be part of shaping the future of AI technology! Example Projects Ship products that allow customers to build, evaluate, and deploy generative AI applicationsUse models to estimate the quality of tasks and labelers, and guarantee quality on requests at large scaleProperly route tasks from customers to labelers for low turnaround and high accuracy.Build methods to automatically measure, train, and optimally match labelers to tasks based on performanceCreate optimized and efficient UIUX tooling for Scalers to complete hundreds of complex tasksBuild robust machine learning models to automate requests and improve our labelers efficiencyDevelop new AI infrastructure products to visualize, query, and explore Scale data Ideally youd have Currently pursuing a degree in a relevant field and are a rising junior (fall 2024, spring 2025) Product engineering experience such as building full-stack web apps, and integrating with relevant APIs and servicesSystems engineering experience with real-time and distributed system architectureExperience building systems that process large volumes of dataExperience with Python, React, Node.js andor MongoDBNow taking applications Summer (MayJune - AugustSeptember) Internship About Us At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how machine learning can build innovative products. Our products provide access to human-powered data for hundreds of use cases and are used by industry leaders such as Open AI, Lyft, Meta, GM, Samsung, Airbnb, NVIDIA, and many more. Weve recently raised 325 million in Series E funding at a valuation of 7B and are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance andor a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations scale.com. Please see the United States Department of Labor s EEO poster and EEO poster supplement for additional information. PLEASE NOTE We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data.

ATS compatibility: No Fit (score: 28.5)