Welcome, my name is Sylvester
Emeka Juwe (MBA, Ph.D., Cantab)

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Years Experience

Senior Business Executive & Group Head of Data - Helping Organisations win by implementing Complex Big Data & AI solutions across Energy, Commercial & Financial Services sectors

A highly accomplished Senior Business Executive with hands-on experience implementing complex Big Data and AI modelling, from initial inception to execution, across Energy, Commercial, and Financial Services. Proven career in business transformation, capable of driving challenging changes and enabling growth across key locations.

Exceptional management and communication skills with a passion for process and operational excellence to drive growth, increase efficiency, implement transformation, and provide revenue-generating data solutions. Strategic thinker, combining a wealth of technical knowledge, stakeholder level relationships, to enable a broader perspective.

Demonstrated global experience in training internal and external teams, prioritizing workload and rolling out implementation integration, enabling swift and accurate delivery of the project and improving overall business performance. A former international sprinter (still an elite level), as well as a trainee pilot, ensures drive, passion, commitment, and exploration are added in.

  • Charged a programme that used Smart installation efficiency saving BG £1.5M monthly and enhanced chances of meeting the regulator installation target completion rates by 9%. The project won the Centrica Technology and Innovation award.
  • Championed a suite of Churn Models to realise the strategic objective of realising growth by reducing client attrition by almost half which annually saved over £4M and enabled (13%) double-digit growth. This project ultimately won the Ascential Information Service and Elite Awards in 2020.
  • Expert in Advanced Statistics, Machine Learning, Natural Language Processing, Recommender Systems, Deep Learning, XGBoost, Latent (Hidden) Markov Models, Classification, Reinforcement Learning, Clustering, Regression, Simulation, Optimisation, Convolutional Neural Network, Seq2Seq Modelling, Topic modelling (LDA).

100% Work Progress.

(05 Reviews)

100% Work Progress.

(05 Reviews)

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