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Strong technical expertise specialising in data science and analytics
Samuel Durugo, PhD
,
London, United Kingdom
Experience
Other titles
Skills
I'm offering
Samuel is a thorough Data Scientist. He has excellent research and strong problem-solving skills. He is analytical and has a great business acumen. Samuel, who is so versed with data mining and predictive analytics, has hands-on experience in applying mathematical/statistical models and machine learning techniques to a wide range of business questions implemented using tools like Python, R, SQL, distributed computing with Spark and Hadoop ecosystems, and cloud-based services. He has over 10 years experience in extracting business insights from data at various levels and across different sectors and organisations.
Markets
United States
(Remote
only)
United Kingdom
France
(Remote
only)
Germany
(Remote
only)
Links for more
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Language
English
Fluently
Ready for
Larger project
Ongoing relation / part-time
Available
My experience
2019 - ?
job
Senior Quantitative Data Scientist - Quant Algorithms and Data Modelling
Derivco Ipswich Ltd.
Responsible for steering the strategy of migrating legacy third-party sports betting algorithms to robust data-
driven models that leverage on the predictive powers of artificial intelligence (AI)/machine learning (ML)
algorithms and robust statistical models, big data, and azure cloud serverless facilities to enhance scalability in the number of product offerings
Key Achievements:
• Developed and implemented a robust, data-driven, real-time predictive model based on a beta-Bernoulli
regression hierarchical modelling framework and Monte Carlo empirical Bayes simulations technique
for tennis sports betting markets that consumes live data feeds
• Revised and enhanced existing football sports betting predictive model that improved margin by 18%
on average while reducing arbitrage opportunities significantly
• Built robust model and data pipelines using azure serverless functions whilst seamlessly working and
collaborating with C# .net Software Developers and Architects, Data Engineers, and Test and Automation QA experts in an agile work environment setting
• Successfully integrated ML algorithms and/or statistical models developed in R/Python into C# .net
development framework
driven models that leverage on the predictive powers of artificial intelligence (AI)/machine learning (ML)
algorithms and robust statistical models, big data, and azure cloud serverless facilities to enhance scalability in the number of product offerings
Key Achievements:
• Developed and implemented a robust, data-driven, real-time predictive model based on a beta-Bernoulli
regression hierarchical modelling framework and Monte Carlo empirical Bayes simulations technique
for tennis sports betting markets that consumes live data feeds
• Revised and enhanced existing football sports betting predictive model that improved margin by 18%
on average while reducing arbitrage opportunities significantly
• Built robust model and data pipelines using azure serverless functions whilst seamlessly working and
collaborating with C# .net Software Developers and Architects, Data Engineers, and Test and Automation QA experts in an agile work environment setting
• Successfully integrated ML algorithms and/or statistical models developed in R/Python into C# .net
development framework
Test, Automation QA, Framework, Scalability, Software, Ai, Development, Serverless, Net, Algorithms, QA, Python, C, Cloud, R, Automation, Agile, Artificial Intelligence, Big Data, Azure, Machine learning
2015 - 2018
job
Senior Data Scientist - Advanced Business Analytics
Microgaming Software Systems Ltd.
Responsible for championing the implementation of data science and analytics solutions and processes, and leading the way towards deploying data-driven products, and to leverage available open-source technologies with proven explosive growth potentials
Key Achievements:
• Onboarded, trained, and mentored a team of two BI data analysts and a data scientist
• Developed, deployed, and maintained various statistical/machine learning regression and scoring
models to uncover insightful behavioural patterns of gaming users and for predicting pre-launch
expected performance of new products with the aim to improve marketing decisions and activities
• Developed and deployed various robust structural time series/econometric models based on Bayesian
framework and algorithms to forecast key performance indicators for the purpose of managing
expectations, planning and budgeting activities, and setting operational targets
• Built prescriptive optimisation tool to inform product promo strategy that guaranteed improvement in return on promo investments from continuous promo loss to a profit margin of an average of 30%
• Developed new dynamic revenue share pricing models for gaming operators
• Developed and deployed a games recommender system for casino product users
Key Achievements:
• Onboarded, trained, and mentored a team of two BI data analysts and a data scientist
• Developed, deployed, and maintained various statistical/machine learning regression and scoring
models to uncover insightful behavioural patterns of gaming users and for predicting pre-launch
expected performance of new products with the aim to improve marketing decisions and activities
• Developed and deployed various robust structural time series/econometric models based on Bayesian
framework and algorithms to forecast key performance indicators for the purpose of managing
expectations, planning and budgeting activities, and setting operational targets
• Built prescriptive optimisation tool to inform product promo strategy that guaranteed improvement in return on promo investments from continuous promo loss to a profit margin of an average of 30%
• Developed new dynamic revenue share pricing models for gaming operators
• Developed and deployed a games recommender system for casino product users
Marketing, Machine learning, Data Science, Optimization, Analytics, Algorithms, Implementation, Growth, BEE, Science, Patterns, Forecast, Framework, Processes
2015 - 2015
job
Senior Data Analyst - Business Intelligence
unknown.
Responsible for fostering working relationships and interacting with stakeholders to identify and understand
business intelligence (BI) needs and requirements
Key Achievements:
• Conducted data analysis using advanced mathematical statistical analysis and statistical learning
techniques, and converting results of the analysis into insights that address eminent business intelligence
needs
• Investigated business problems that have been highlighted through various sources, determining causes
and providing data-backed evidence for an optimal and implementable results
Freelance, UK
business intelligence (BI) needs and requirements
Key Achievements:
• Conducted data analysis using advanced mathematical statistical analysis and statistical learning
techniques, and converting results of the analysis into insights that address eminent business intelligence
needs
• Investigated business problems that have been highlighted through various sources, determining causes
and providing data-backed evidence for an optimal and implementable results
Freelance, UK
Data Analysis, Business Intelligence, Analyst, BEE
2010 - 2014
freelance
Data Science Consultant
unknown.
Worked as an independent data science expert on part-time basis whilst studying full-time for my PhD
Key Achievements:
• Provided independent consultancy services to a wide range of clientele on various projects on data
mining and analysis/analytics
• Worked closely with clients' product development team to identify and answer important product
questions based on evidence obtained from analysis of available data using appropriate and sophisticated mathematical statistics and machine learning techniques
• Conducted specific data processing requests involving predictive data mining and analytics using wide
range of statistical and machine learning techniques including hypothesis testing, factor analysis,
principal component analysis, clustering for segmentation, association rules, regression analysis,
decision tree, neural networks, support vector machine, and ensemble learning
• Advised clients of new data collection sources and refinement of existing data sources
• Communicated findings to product development team and made recommendations based on results of analysis
Sterling Bank Plc (defunct ETBank), Nigeria
Key Achievements:
• Provided independent consultancy services to a wide range of clientele on various projects on data
mining and analysis/analytics
• Worked closely with clients' product development team to identify and answer important product
questions based on evidence obtained from analysis of available data using appropriate and sophisticated mathematical statistics and machine learning techniques
• Conducted specific data processing requests involving predictive data mining and analytics using wide
range of statistical and machine learning techniques including hypothesis testing, factor analysis,
principal component analysis, clustering for segmentation, association rules, regression analysis,
decision tree, neural networks, support vector machine, and ensemble learning
• Advised clients of new data collection sources and refinement of existing data sources
• Communicated findings to product development team and made recommendations based on results of analysis
Sterling Bank Plc (defunct ETBank), Nigeria
Machine learning, Data Science, Product development, Data mining, Analytics, PLC, Statistics, Support, Neural networks, Testing, Development, Data collection, Science, Processing, Principal Component
2007 - 2008
job
Credit Risk Analyst
Risk Assets Management.
Responsible for conducting assessment and analysis of risks associated with various lending
proposals/disbursements, ranking of credit facilities, and advise and recommend changes to credit policies and procedures
Key Achievements:
• Developed models of credit information to predict credit patterns and trends
• Periodically reviewed accounts with credit facilities to ascertain their performing status and build
segments of customers through clustering analysis
• Analysed financial information including account statements, management accounts and cash flow
statements
• Managed a team of three report analysts that constantly met tight report delivery deadlines
proposals/disbursements, ranking of credit facilities, and advise and recommend changes to credit policies and procedures
Key Achievements:
• Developed models of credit information to predict credit patterns and trends
• Periodically reviewed accounts with credit facilities to ascertain their performing status and build
segments of customers through clustering analysis
• Analysed financial information including account statements, management accounts and cash flow
statements
• Managed a team of three report analysts that constantly met tight report delivery deadlines
Management, Analyst, Assessment, Patterns, Performing
2006 - 2007
job
Banking Officer - Retail Marketing
Access Bank Plc.
Responsible for building and maintaining professional business relationships with banking customers
Key Achievements:
• Managed banking business relationships with customers worth over £6 million
• Managed credit risk assets with quarterly return of over £120,000
Key Achievements:
• Managed banking business relationships with customers worth over £6 million
• Managed credit risk assets with quarterly return of over £120,000
Marketing, Retail, Banking
My education
Loughborough University
MSc, Mathematical Finance
MSc, Mathematical Finance
University of Benin
BSc, Industrial Mathematics
BSc, Industrial Mathematics
Loughborough University
Doctorate, Mathematics
Doctorate, Mathematics
ACA of the Institute of Chartered Accountants of Nigeria
Associate, Accounting Technician
Associate, Accounting Technician
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