Claudio Lima Email & Phone Number

London, GB

• Developed and led Data & AI consulting proposition for NCR Commerce Platform that generated over £1.0M in committed revenue within the first financial year.
• Product ownership of Self-Checkout analytics to manage customer delivery, development roadmap and integration with next-gen NCR analytics product in GCP. Successfully migrated 6 customers to the new SCO Analytics.
• Developed customer segmentations and corresponding insights for a 40-store retailer to support their next growth cycle.

Sabbatical break to cycle across Southern Europe.

New York, NY, US

• Data science lead working with our clients to drive revenue growth and operational efficiency using data analytics and machine learning. Selected projects include:
• Developing a store network decision framework for a UK retailer to drive their 5-year business plan, using UK-wide consumer segmentation, store catchment analytics and competition intelligence.
• Improving customer acquisition and retention processes using machine learning for a B2B wholesaler, resulting in £8.5 million EBITDA uplift.
• Automating 80% of product demand forecasts for a European semiconductor manufacturer using ensemble of time series forecasting algorithms.
• Assisting a major UK retail bank to reduce their PPI claim management workload by applying predictive analytics to their processing pipeline, contributing to savings of £300m.
• Identifying initiatives leading to 4% revenue growth using large-scale trip data insight for an international taxi service provider.

New York, NY, US

New York, NY, US

Middlesex, England, GB

• Technical lead for Measurements & Algorithms of Europe's largest television viewing panel (at the time) of over 500,000 Sky customer households.
• Design and development of audience analytics, algorithms and models to enable a unique consumer insight capability in the UK.
• Managed team of 3 DRs delivering analytical and predictive modelling projects of TV viewing behaviour.

GB

• Analytics consultant, within the Forensic Technology Solutions team, focusing on the capture, analysis, and visualisation of data to support forensic investigations across industries. Selected projects include:
• Proactive detection of procurement and expenses fraud for a UK hospitality chain using data-driven events and clustering for outlier detection.
• Report automation to support disclosure of electronic evidence in court for a major litigation case (>$1B).

GB

Nottingham, GB

• Research and development of new methods/algorithms to address automated model synthesis in Systems Biology involving root plant modelling, evolutionary algorithms, parameter optimisation, and P-Systems.
• Worked in close collaboration with biologists, physicists and mathematicians, while mentoring visiting researchers and PhD students.

Faro, Algarve, PT

• Research and development of new methods/algorithms for optimisation and probabilistic modelling involving genetic algorithms, stochastic local search, decision trees, Bayesian networks and automated parameter.
• Published and presented this work in international journals and conferences, including a best paper award at ACM GECCO 2008 (Atlanta, USA).

Champaign, IL, US

• (also May-Jul 04 & Feb-Apr 08)
• Research and development of new methods/algorithms for optimisation involving genetic algorithms, adaptive local search, surrogate estimation and probabilistic modelling.
• Granted US Patent No. 8131656 for creating an innovative method for adaptive optimisation.

Phd, Computer Science

Lic (Msc), Systems And Computing Engineering