Building Industry 4.0 manufacturing sites, job description:• Designs, develops, and implements Al, lloT, big data analytics, predictive models, and digital twin technology solutions.• Collaborates with cross-functional teams to understand business requirements and develops innovative solutions to meet those needs.• Develops and maintains AR/VR solutions to enhance customer experience.• Performs data analysis to support decision-making and identify trends and patterns.• Develops and maintains predictive models for performance optimization.• Provides technical support and troubleshoots issues as needed.• Stays current with emerging technologies and industry trends, and makes recommendations for new solutions to improve efficiency and effectiveness.• Collaborates with data scientists, software engineers, and stakeholders to design and implement end-to-end solutions for digital performance optimization.• Manages and maintains digital systems, ensuring high levels of availability and security.• Participates in code reviews and design discussions to ensure that solutions meet quality standards and best practices.• Develops and maintains documentation for systems, processes, and procedures

Generated metrics to identify gaps in security operations and drive management decisions by constructing automated data pipelines via API ingestion, data sanitation, data wrangling, and feature engineering using SQL and Google Cloud Platform.Improved alert prioritization and streamlined security decisions by 30% by implementing statistical models which combined independent security alerts into stronger, more interpretable signals using Python, Pandas, SQL, and Google Cloud Platform,Increased risk model performance by over 20% by enacting changes derived from interpreting statistical research papers and articles, seeking stakeholder feedback, and applying relevant findings using Python and Panda

Established client’s security-based operating procedures, ensuring compliance with NIST and NERC-CIP security standards, by analyzing the client’s operations, assessing their operational technology risks, and drafting bylaws and guidelines.Built a business case for investing in and developing an internal supply chain risk mitigation product, resulting in exploration of possible acquisitions, by conducting market research on prevalent mitigation software products and their coverage gaps.Drafted Statements of Work and Change Order contracts to document additional work extensions and project scope changes between the project team and the client

Enabled the development of an end-to-end supply chain data transparency software; Increased data availability, quality, and population efficiency by over 25% through imputing data and automating data population by extracting information from CSVs and websites using Python, Regular Expressions, and Excel. Ensured product functionality and detected multiple bugs by benchmarking reliability metrics through feature testing, tracking on-time data refreshes, and validating data consistency daily.Piloted a program to drive proficiency and engagement by developing learning materials and building an internal website with an intuitive progression system and badge certification rewards

Established rapport with customers and inquired to identify customer needs, then provided assistance using product knowledge and personal experiences in person and over the phoneProcessed shipping, receiving, wholesale sellbacks, customer buybacks, and horizontal distribution procedures using a supply chain information system on over 100 transactionsStocked merchandise in accordance to store organization system and picked items to fulfill online orders