Summary
Overview
Work History
Education
Skills
Research Experience
Timeline
Generic

Daniel Fan

Data Science Manager
Houston,TX

Summary

Data science manager with a strong track record of leading end-to-end machine learning and optimization initiatives that deliver multi-million-dollar business impact. Experienced in identifying high-value opportunities, partnering with global stakeholders, and guiding teams from problem formulation through production deployment and value realization. Known for deep technical leadership, strong business acumen, and the ability to deliver highly impactful solutions under organizational change and multi-cultural environment.

Overview

18
18
years of professional experience
14
14
years of post-secondary education

Work History

Data Science Manager

Nouryon
10.2025 - Current
  • Led global, cross-functional data science initiatives spanning Americas, Europe, and Asia, delivering enterprise-scale machine learning and optimization solutions
  • Proactively identified and initiated high-impact analytics opportunities, partnering with business leaders to formulate projects through formal investment and governance pipelines
  • Owned the full end-to-end lifecycle of analytics programs, from business problem framing and solution design to production deployment and ongoing value tracking
  • Directed teams delivering predictive modeling, mathematical programming, and reinforcement learning solutions to core business problems, generating multi-million USD annual impact
  • Served as technical authority across machine learning, optimization algorithms, and system architecture, unblocking complex technical challenges and setting solution direction
  • Led teams through periods of significant organizational change while maintaining delivery velocity, solution quality, and stakeholder trust

Lead Data Scientist

Nouryon
10.2022 - 10.2025
  • Designed and delivered machine learning and operations research–based solutions to address complex optimization and prediction problems across supply chain, customer service, and market planning, including energy-efficient production scheduling, warehouse network design in Europe, SKU-level demand forecasting, and delivery delay risk modeling.
  • Led advanced analytics initiatives integrating machine learning–based predictions with operations research–based production optimization for manufacturing plants, delivering over $1M in annual energy cost savings while advancing the company’s sustainability goals.
  • Served as the technical leader for advanced machine learning and optimization methodologies, guiding model selection, algorithm design, code development and solution architecture.
  • Led simulation-based modeling to evaluate system stability under market dynamics and generate solutions that were not only optimal but robust to uncertainty.
  • Designed and deployed an agentic AI approach for oil field demulsifier recommendation, orchestrating data-driven models and domain constraints to enable autonomous, iterative operational decision-making.

Senior Data Scientist

ION Geophysical
01.2013 - 10.2022
  • Built neural network models using 60G+ training dataset (transformed data from augmentation were fed into model) to predict geological bodies, which can reduce geological interpretation time by 40%.
  • Developed models based on gradient boosted decision tree techniques for well tabular data anomaly detection.
  • Derived machine learning approaches based on regression and gradient descent optimization to improve geological parameter estimation.
  • Developed machine learning approaches for image noise attenuation and anomaly detection
  • Published technical documents as company standard reference used in 15+ production projects

Data Scientist

CGG (Compagnie Generale De Geophysique)
05.2010 - 01.2013
  • Applied prediction modeling approaches in data matching and noise attenuation.
  • Conducted anomaly detection and supervised learning on seismic wave propagation.

Software Engineer

Phoenix Intelligent Video Surveillance
05.2008 - 03.2010
  • Developed algorithms for video segmentation, object recognition and analysis based on machine learning approaches.
  • Designed and implemented software systems for real-time auto-tracking video surveillance system on Texas Instrument TMS320DM642 (Digital Signal Processor).
  • This product design was chosen in video surveillance system for Hoover Dam.

Education

Ph.D. - Electrical and Computer Engineering

University of Miami
Coral Gables, FL
08.2004 - 05.2010

Master of Science - Image Processing And Recognition

Institute of Remote Sensing, Chinese Academy of Sciences
Beijing, China
08.1999 - 08.2002

Bachelor of Science - Electronics Engineering And Information Sciences

University of Science And Technology of China
Hefei, China
08.1994 - 08.1999

Skills

Technical Leadership:

  • Python, C/C, Matlab
  • Pandas, Gurobi, Scikit-Learn, Feature-engine, Catboost, Tensorflow, Keras, Pytorch, OpenCV, SimPy, LangChain, AIMMS, AnyLogic
  • Neural Network, Gradient boosted decision tree, Random forest, Regression, Mathematical Programming, reinforcement learning

Strategic management:

  • End-to-end analytics project ownership
  • Excellent business acumen and opportunity identification
  • Cross-functional and multi-cultural collaboration
  • Executive communication

Research Experience

  • Cross layer optimization of video transportation network
  • Optimization based on queuing theory
  • Mathematical programming
  • Discrete event simulation on video transportation network
  • Video and image segmentation, object detection and analysis based on unsupervised learning
  • Object detection in satellite image based on supervised machine learning
  • Radar image reconstruction, denoise and edge detection applied to lakeshore and road network recognition
  • Image reconstruction and feature extraction based on machine learning

Timeline

Data Science Manager

Nouryon
10.2025 - Current

Lead Data Scientist

Nouryon
10.2022 - 10.2025

Senior Data Scientist

ION Geophysical
01.2013 - 10.2022

Data Scientist

CGG (Compagnie Generale De Geophysique)
05.2010 - 01.2013

Software Engineer

Phoenix Intelligent Video Surveillance
05.2008 - 03.2010

Ph.D. - Electrical and Computer Engineering

University of Miami
08.2004 - 05.2010

Master of Science - Image Processing And Recognition

Institute of Remote Sensing, Chinese Academy of Sciences
08.1999 - 08.2002

Bachelor of Science - Electronics Engineering And Information Sciences

University of Science And Technology of China
08.1994 - 08.1999
Daniel FanData Science Manager