Nextmv Consulting
Derive real business value from production-ready optimization applications faster and with more confidence through our expertise of Nextmv’s DecisionOps platform.
Accelerating time to value of your optimization initiatives with Nextmv to drive meaningful business outcomes
Discover our optimization and simulation case studies
Supply Chain Logistics for Agriculture Supply Chain
Container Assignments for Global Shipping Company
Optimizing Production Schedules for Global Steel Manufacturing Company
Nextmv offerings we provide
- Business requirements definition and documentation
- Use case solutioning
- Optimization stack mapping
- Deployment into data/tech infrastructure
- Decision workflow definition and creation
- Environment mapping and CI/CD guidance
- Model set up comparison
- Expose model configuration for testing
- Custom visualization for stakeholders
- Optimization and DecisionOps training
- Business user onboarding to optimization
- Enablement workshops
Our
Nextmv
experts guide you every step of the way
Yash Puranik
Yash is an experienced data professional with expertise in optimization, machine learning, and software development. He is passionate about using data science to solve client challenges across various industries. Yash is a recognized Gurobi expert, a Dataiku Neuron, and a Databricks Champion.
William Wirono
William has a background in Deterministic Optimization, Linear and Mixed Integer Programming, and Machine Learning. William is excited to help build solutions that bring real meaning to businesses and stays current on advances within the data science space.
Jay Foraker
Jay has 15+ years of teaching experience as a Permanent Military Professor at the United States Naval Academy. He has an extensive background in data visualization, analysis, and modeling with Python, optimization, and discrete event simulation.
Zhonghao Liu
Liu specializes in applied optimization and simulation, with a strong focus on translating complex real-world decision-making challenges into mathematical models. He is passionate about bridging the gap between advanced analytics and industry practice, using creative problem-solving to drive operational improvements.
Alison Cozad
Alison has deep expertise in the development and application of optimization and data science solutions. She possesses extensive knowledge of optimization solvers and has a strong background in the oil and gas industry. Alison is particularly interested in ensuring that technical solutions drive real-world decisions by focusing on interpretability, explainability, and practical deployment.