Daniel Gremmell Email & Phone Number

Chief Data Officer @ Zinnia

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Daniel Gremmell Location

New York, NY, US

Daniel Gremmell Work

2023 -now Chief Data Officer @
2023 -now Chief Data Officer @
2013 -now Chief Executive Officer and Chief Data Scientist @
2020 -2023 Head of Data @
2018 -2020 VP, Data Science @
2016 -2018 Data and Process Science Leader @ John Wiley and Sons
2014 -2016 Associate Director - Process and Data Science @ Ansell Healthcare
2013 -2014 Senior Analytics Manager - Value Streams @
2011 -2013 Analytics Manager - Operations and Parts Logistics @ Volkswagen group of America
2003 -2011 Analytics Manager @ Russ berrie us gift inc

Daniel Gremmell Education

Rochester Institute of Technology
MS Statistics, Machine Learning (Machine Learning)
Kettering University
MS Manufacturing Engineering
Thomas Edison State University
Bachelors, Business Management

Daniel Gremmell Skills

Team Building
Purchasing
Key Account Development
Cross Functional Team
Retail
Account Management
Sales
Logistics
Forecasting
Sales Operations
Negotiation
Process Improvement
Merchandising
Strategic Planning
Sales Management
Microsoft Word
New Business Development
Cross Functional Team Leadership
Customer Service
Management
Product Development
Project Management
Inventory Management
Consumer Products
Artificial Neural Networks
RF
Suppliers
Units
Shipping
Chi Square
Leases
Demand Planning
Rdc
Versed
Cost
5s
Supply Chain Management
Rework
Rebalancing
Continuous Flow
Streams
Gravity
Honor
Serving
Andon
Driving
Data Cleaning
Standard Work
Savings
Road
Vector
SME
Design of Experiments
Value Stream Mapping
Computer Vision
Takt
DFSS
Accessibility
Simulations
Design
Delta
Coaching
Corporate Environments
Ocean
SPC
Machine Learning
Spaces
Resume
Continuous Improvement
Regression Analysis
High Impact
Statistics
Key Performance Indicators
Integration
Metrics
Data Mining
Hiring
Inventory Accuracy
FEED
Lean Manufacturing
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
Deep Learning
Engineering
Reports
Strategy
Hadoop
Defect
Inventory
Logistic Regression
Artificial Intelligence
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
R
Vehicles
Bins
Operations Research
Industrial Engineering
Yahoo
Space
Predictive Modeling
Interface Programming
Rfs
Linear Regression
Accountability
Analysis Tools
Data Analysis
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
Six Sigma
Distribution
Labor Issues
Fitting
International
Product Lines
Data Science
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
Statistical Data Analysis
Oracle
Stocks
Rate
Clutter Control
Manufacturing
Internal Controls
Financial Analysis
OEMs
Military
Decision Making
Light
Python
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, Machine Learning in Machine Learning @ Rochester Institute of Technology. With a robust skill set that includes Team Building, Purchasing, Key Account Development, Cross Functional Team, Retail and more. Daniel Gremmell has 3 emails and 5 mobile phone numbers on RocketReach.