Jordan Meyer Email & Phone Number
@unilever.com
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Who is Jordan Meyer? Overview
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Jordan Meyer is listed as Senior Data Engineer at Capital One, based in New York City Metropolitan Area, United States. AeroLeads shows a work email signal at unilever.com and a matched LinkedIn profile for Jordan Meyer.
Jordan Meyer previously worked as Senior Machine Learning Engineer at Unilever and Senior Data Scientist at Unilever. Jordan Meyer holds Master'S Degree, Data Science from Uc Berkeley School Of Information.
Email format at Capital One
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AeroLeads found 1 current-domain work email signal for Jordan Meyer. Compare company email patterns before reaching out.
About Jordan Meyer
I am a versatile professional with extensive experience in data engineering, data science, and machine learning engineering. I specialize in leveraging advanced tools and technologies such as Python, PySpark, and Databricks to build scalable, efficient, and innovative solutions for data-driven decision-making.With a strong focus on machine learning and ML Ops, I have a proven track record of developing and deploying machine learning models that drive business value. My expertise spans end-to-end machine learning pipelines, from data ingestion and processing to model deployment and monitoring in production environments.I have consistently improved processes, optimized models, and ensured seamless integration of cutting-edge solutions into the data ecosystem. As a Data Engineer my work has directly driven over $10 million in new business acquisition, and as a Data Scientist, I have led the analytics and savings program to unlock over €40 million (Euro) in bottom line improvement with notable success in multiple projects. Whether it's enhancing data pipelines or fine-tuning algorithms, I excel at solving complex challenges and delivering impactful results.
Listed skills include Process Engineering, Capa, Quality System, Continuous Improvement, and 70 others.
Jordan Meyer's current company
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Jordan Meyer work experience
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Senior Machine Learning Engineer
CurrentAccomplished Data Engineer with expertise in generating robust data pipelines, implementing efficient ETL processes, constructing interactive dashboards using Power BI and star/snowflake schemas, designing bespoke data solutions with Azure DataBricks, Python, Apache Spark, SQL, and other technologies. Collaborates closely with cross-functional teams to ensure users have updated and accurate data through scheduled jobs in Azure Data Factory and Power Automate, while mentoring junior data engineers for enhanced productivity.• Led the generation and maintenance of robust data pipelines on consumer transactional data, ensuring high data quality and accuracy from various internal and external sources, by scheduling jobs through Azure Data Factory and Power Automate to provide users with updated and accurate data.• Developed and implemented efficient ETL processes to ingest, cleanse, and transform large volumes of data, optimizing performance, infrastructure costs and scalability.• Constructed interactive Business Intelligence dashboards using Power BI, advanced visualization tools, and star/snowflake schemas, providing stakeholders with actionable insights for data-driven decision-making.• Designed and implemented bespoke data solutions tailored to specific business requirements, leveraging Azure DataBricks, Pyspark, SQL, and other relevant technologies.• Collaborated closely with cross-functional business teams to understand data needs and deliver effective solutions, while mentoring junior data engineers and implementing best practices.
Senior Data Scientist
Machine Learning Engineering & Digital Transformation LeadLed the creation of the North American digital R&D program through development of automation and repetitive task reduction applications. Built network with global R&D center and regional R&D/Supply Chain teams to create various statistical simulation models to reduce testing and increase speed to market.• Lead complexity reduction and 5S bottom-line improvement business strategy analytics capabilities across UFS North America network.• Present data findings to leadership through a combination of live Business Intelligence Dashboards, automated query execution, processing, and reporting. • Generate and troubleshoot Python data pipelines to capture product data and interface with external ecommerce platforms for a customer focus experience. • Developed a shelf-life logistic regression model enabling product developers to input formulation and pack and predict finished product shelf life with associated confidence level to avoid testing and visualize impact of changes.• Established processing rules and decision tree algorithms to distill process development for all dressings and savory products, enabling product developers to quickly prototype, embracing agile and flex practices. • Championed cross functional 5S program in North American Food Solutions team overdelivering 40-million-euro bottom line improvements through alternate supplier qualifications and negotiations, reformulations, waste reductions, strategic pricing, and cost allocation.
Process Engineer, Digital Transformation
Led the creation of the North American digital R&D program through development of automation and repetitive task reduction applications. Built network with global R&D center and regional R&D/Supply Chain teams to create various simulation models to reduce testing and increase speed to market.• Performed 5S category portfolio-mix analyses, reviewing pack, formulation, sourcing, pricing, discounting, and promotions year over year to identify over 2 million euros in potential savings projects and harmonization efficiency opportunities.• Developed tools to equip product developers with ability to find product and ingredient pricing and claims information, reducing the number of searches and time spent gathering data from hours daily to seconds.• Achieved a 100% OTIF (on-time in-full) delivery of R&D Process Engineering activities and managed capability trials, by making strategic decisions, through collaboration and strong relationship development with suppliers, manufacturers, and R&D partners, enabling harmonization of ingredients and packing materials as well as supply chain efficiency improvements • Led R&D product and process development through full scale commercialization, of Hellmann's & Best Foods Ketchup with Honey and Yellow Mustard, for Unilever Food Solutions, as Technical Project Leader. • Developed new shelf-life program with a new method of data collection, automated analysis and reporting cutting time investment from 1-2 hours weekly to 5 minutes.
Teaching Assistant
CurrentProvide mentorship, guidance, support and planning to students in their final semester of the Masters of Information and Data Science program at UC Berkeley including troubleshooting, system design and overall project assistance.
Process Technology Engineer
Analyzed process, quality, and yield on stream time daily and providing support for all extrusion, packaging, lecithin and soybean oil separation operations. Facilitate open communication between operations, maintenance, and quality departments.• Captured over $500M annual recurring Pre-tax Operating Income (PTOI), and other initiatives, improving quality and increasing yield of TSPC over 10% by leading multiple continuous improvement projects using six sigma methodologies. • Developed and maintained current technology documentation ranging from process flow diagrams, Programmable Logic Controllers (PLCs), process chemistry, operating conditions, and consequences, certifying plant compliance with corporate requirements.
Validation Specialist
• Led all Installation Qualification, Operation Qualification and Process Performance Qualification activities in Westbury, NY manufacturing plant including new drug delivery, environmental controls and product development. • Designed Validation Master Plan for all sites to outline requirements for testing and documentation as well as record retention. • Led all factory, quality and documentation audit inquiries with customers, third party certification bodies and FDA representatives.
Validation Specialist
Designed and conducted all Installation Qualification, Operation Qualification and Cleaning Qualification of all equipment.
Jordan Meyer education
Master'S Degree, Data Science
Bachelor Of Science - Bs, Chemical Engineering, Pharmacy
Frequently asked questions about Jordan Meyer
Quick answers generated from the profile data available on this page.
What company does Jordan Meyer work for?
Jordan Meyer works for Capital One.
What is Jordan Meyer's role at Capital One?
Jordan Meyer is listed as Senior Data Engineer at Capital One.
What is Jordan Meyer's email address?
AeroLeads has found 1 work email signal at @unilever.com for Jordan Meyer at Capital One.
Where is Jordan Meyer based?
Jordan Meyer is based in New York City Metropolitan Area, United States while working with Capital One.
What companies has Jordan Meyer worked for?
Jordan Meyer has worked for Capital One, Unilever, University Of California, Berkeley, Dupont, and Pl Developments.
How can I contact Jordan Meyer?
You can use AeroLeads to view verified contact signals for Jordan Meyer at Capital One, including work email, phone, and LinkedIn data when available.
What schools did Jordan Meyer attend?
Jordan Meyer holds Master'S Degree, Data Science from Uc Berkeley School Of Information.
What skills is Jordan Meyer known for?
Jordan Meyer is listed with skills including Process Engineering, Capa, Quality System, Continuous Improvement, Process Improvement, Validation, Fda, and Six Sigma.
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