Data Growth Coaches

Access mentorship to help solve data challenges

Our Data Growth Coaches will work directly with you to determine how your business can get the maximum benefit from open or proprietary data. 

Our experts will work to understand your needs and offer customized guidance; they can provide help with:

  • Planning strategies around data acquisition, licensing, monetization, privacy, regulation and inventory tracking.
  • Building or scaling a data collection and analysis pipeline, using vendors, open sources, internet-of-things devices.
  • Migrating applications to the cloud, making use of next generation data centres and networking systems.
  • Model selection, training, enhancement across domains (including natural language processing, image recognition).
  • Analysis and visualization of time series, geospatial, panel or cross-sectional data, including HD Geographic Information Systems (GIS) and map information.
  • Accessing and working on testbeds, such as the 5G or New Generation Network (NGN) testbeds.

Adeel Zaman

Expertise:
Data architecture reviews, Hiring and culture for data science, data roadmap, storage and strategy, natural language processing, Deep learning

Alex McVittie

Expertise:
Geographic information system, GIS software development, remote sensing

Andrew Ricchetti

Expertise:
Building data science teams, establishing data driven culture, establishing data science practice (architecture, budgeting, governance, security)

Chris Willsher

Expertise:
Data strategy, data licensing, data partnerships

Atif Khan

Expertise:
Data Architecture, Data Visualisation, Natural Language Processing, Semantic Textual Similarity

Eric Bencina

Eric Bencina

Expertise:
Data management, data strategy, data governance

Ian Dewancker

Expertise:
Machine learning, Computer vision and deep learning, A/B testing and system evaluation

Moein Zohary

Expertise:
Geographic Information Systems, Spatial Analysis, Remote Sensing, Image Processing

Shaohua Zhang

Expertise:
Data science and engineering, data architecture, data visualization, data mining

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