Seun Adewuyi

Data Scientist,
Technology, Data & InfoSec

Technical Skills
  • AI strategy and tech stack
  • Supervised and unsupervised machine learning
  • MLOps
  • Blockchain
  • Lightning Network
  • Network analysis
Industry Specialisms
  • Energy
  • Sustainable supply chain
  • EdTech
  • FMCG
Seun Adewuyi

Seun Adewuyi is a talented and commercially-minded data scientist with over seven years of experience delivering machine learning and AI applications to solve complex business problems.

He has worked across diverse industry sectors, including; educational resources, publishing, Cosmetics, and supply chain audit platform. Seun has worked with companies such as Tes Global, Avon Cosmetics, Wood and Sedex.

As an experienced data scientist, Seun can help you:

  • Apply data science and machine learning to develop and implement algorithms to create actionable business insights and improve user experience.
  • Develop data infrastructure, DevOps, MLOps, and DataOps for scalable, high throughput and fault-tolerant microservices in the cloud.
  • Apply several machine learning algorithms to commercial problems: regression, clustering, random forest, neural networks/deep learning, gradient boosting trees, Bayesian Hierarchical Models, Latent Dirichlet Allocation (LDA), LASSO regression, logistic regression.
  • Apply network analysis and graph modelling to solve business problems.
  • Use Python, R, SQL and CQL for data modelling, algorithm development and data visualisation.
  • Work with big data technologies (Spark, Hive and AWS Redshift).
  • Implement A/B testing to support critical business decisions.

Key achievements include:

  • As a lead data scientist, I improved the supply chain audit quality by developing a machine learning application that identifies inconsistent data in the audit findings with over 80% accuracy.
  • As a principal consultant, I reviewed the current workflow and developed an improved framework based on Agile methodology. This resulted in an enhanced overview of task status and introduced the ability to communicate proactively to management on the features to be released.
  • As a lead data scientist, I developed machine learning models and deployed to production to support the demand planning units of the business across multiple markets. This reduced the time to model the demand for campaigns from 3 weeks to minutes.
  • As a data scientist, I architected and implemented a machine learning pipeline to determine the global market share of a leading online education publishing platform relative to its key competitors and delivered deeper insights to business users.

Some of Seun’s clients and experience:

Seun specialises in:

  • Programming in Python, R, SQL and Cypher Query Language (Neo4J graph database).
  • Supervised and unsupervised machine learning.
  • Selecting and implementing MLOps framework.
  • Bayesian and Frequentists statistics.
  • Optimisation using linear programming, gradient descent and nonlinear programming.
  • Selecting databases, big data and cloud technologies to support machine learning application in production environment.
  • Data visualisation using Looker, Tableau, Superset, Python, R and Redash.