Daniel Gremmell Email & Phone Number
Chief Data Officer @ Zinnia
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Daniel Gremmell Location
- New York, NY, US
Daniel Gremmell Work
- Chief Data Officer @ (August 2023 - Present)
- Chief Data Officer @ (August 2023 - Present)
- Head of Data @ (March 2020 - August 2023)
- Chief Executive Officer and Chief Data Scientist @ (July 2013 - Present)
- VP, Data Science @ (November 2018 - March 2020)
- Data and Process Science Leader @ John Wiley and Sons (August 2016 - November 2018)
- Associate Director - Process and Data Science @ Ansell Healthcare (November 2014 - August 2016)
- Senior Analytics Manager - Value Streams @ (July 2013 - November 2014)
- Analytics Manager - Operations and Parts Logistics @ Volkswagen group of America (March 2011 - July 2013)
- Analytics Manager @ Russ berrie us gift inc (December 2003 - March 2011)
Daniel Gremmell Education
- Rochester Institute of Technology
MS Statistics (Machine Learning)
- Kettering University
MS Manufacturing Engineering
- Thomas Edison State University
Bachelors (Business Management)
Daniel Gremmell Skills
- Account Management
- Artificial Intelligence
- Artificial Neural Networks
- Computer Vision
- Consumer Products
- Cross-functional Team Leadership
- Customer Service
- Data Analysis
- Data Mining
- Data Science
- Deep Learning
- Forecasting
- Industrial Engineering
- Inventory Management
- Key Account Development
- Lean Manufacturing
- Linear Regression
- Logistic Regression
- Logistics
- Machine Learning
- Management
- Manufacturing
- Merchandising
- Negotiation
- New Business Development
- Process Improvement
- Product Development
- Purchasing
- Python
- R
- Regression Analysis
- Retail
- Sales
- Sales Management
- Sales Operations
- Six Sigma
- Statistical Data Analysis
- Statistics
- Strategic Planning
- Supply Chain Management
- Team Building
- Cross Functional Team
- Microsoft Word
- Cross Functional Team Leadership
- Project Management
- RF
- Suppliers
- Units
- Shipping
- Chi Square
- Leases
- Demand Planning
- Rdc
- Versed
- Cost
- 5s
- Rework
- Rebalancing
- Continuous Flow
- Streams
- Gravity
- Honor
- Serving
- Andon
- Driving
- Data Cleaning
- Standard Work
- Savings
- Road
- Vector
- SME
- Design of Experiments
- Value Stream Mapping
- Takt
- DFSS
- Accessibility
- Simulations
- Design
- Delta
- Coaching
- Corporate Environments
- Ocean
- SPC
- Spaces
- Resume
- Continuous Improvement
- High Impact
- Key Performance Indicators
- Integration
- Metrics
- Hiring
- Inventory Accuracy
- FEED
- Baseline
- Algorithms
- Financial Forecasting
- Statistical Inference
- Purchase Orders
- Elimination
- Innovative Thinking
- Networking
- Data Validation
- Moq
- Languages
- Customer Satisfaction
- System
- Cell
- Key Metrics
- Layout
- Variation
- Visualization
- Engineering
- Reports
- Strategy
- Hadoop
- Defect
- Inventory
- Operations Management
- Hearing
- Value Stream Maps
- Variable
- Testing
- ASQ
- Training
- Enterprise Software
- Assemblers
- Calculations
- Sortation
- End Users
- Extract
- Talented
- Solution
- Operational Excellence
- Supply
- Scheduling
- Quality Control
- Delivery Performance
- Reporting
- Statistical Modeling
- ANOVA
- Analysis
- Mindset
- Process Simulation
- Tactics
- Value Engineering
- P&l
- Statistical Tools
- React
- Vehicles
- Bins
- Operations Research
- Yahoo
- Space
- Predictive Modeling
- Interface Programming
- Rfs
- Accountability
- Analysis Tools
- Data Collection
- Schedules
- Home
- Damages
- Mechanical
- Synthesize
- Exploratory Data Analysis
- Ergonomics
- Linear Models
- ERP
- Cost Savings
- Safety
- Operations
- Competitive Advantage
- Oracle SQL Developer
- Pipeline Management
- Electricians
- Marketing
- Colorado
- Statistical Packages
- VBA
- Fatigue
- Design for Manufacturing
- Big Data
- Level Loading
- Data Driven Testing
- Project
- SQL
- Distribution Center Operations
- Golang
- Software Lifecycle
- Rollout
- Training Programs
- Data Products
- JIT
- Analytics
- Thinking
- Pitch
- Inventory Control
- DMAIC
- Presentations
- Forklift Operation
- Yield
- Responsibility
- Internal Audit
- Distribution
- Labor Issues
- Fitting
- International
- Product Lines
- Roadmap
- Efficiencies
- Inventory System
- Efficient
- Manage Inventory
- Bayesian
- Same Day
- Structured Finance
- FIFO
- Interfaces
- T Test
- Warehousing
- Electronics
- Defects
- Green Belt
- Credentials
- CPFR
- Claim
- SAS
- Oracle
- Stocks
- Rate
- Clutter Control
- Internal Controls
- Financial Analysis
- OEMs
- Military
- Decision Making
- Light
- Scanners
- Aerospace
- Quality Improvement
- Kaizen
- Lean Six Sigma
- Optimization
- Problem Solving
- Production Lines
- Conceptual Modeling
- Supply Chain
- Deliveries
- Automation
- Gaps
- DFA
- Databases
Daniel Gremmell Summary
- Daniel Gremmell, based in New York, NY, US, is currently a Chief Data Officer at Zinnia . Daniel Gremmell brings experience from previous roles at Policygenius Inc., Business Science Solutions and Plated. Daniel Gremmell holds a MS Statistics in Machine Learning @ Rochester Institute of Technology. With a robust skill set that includes Account Management, Artificial Intelligence, Artificial Neural Networks, Computer Vision, Consumer Products and more. Daniel Gremmell has 3 emails and 5 mobile phone numbers on RocketReach.
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