Samuel Surulere Email & Phone Number

Edmonton, Ab, Ca

Calgary, Alberta, Canada

News Content Analysis: Led development of automated content classification systems using machine learning, improving processing efficiency across multiple categories. Implemented containerized solutions with cloud deployment.Parliamentary Data Analytics: Engineered information retrieval systems for legislative document analysis, implementing advanced search and processing techniques to enhance data accessibility for public sector applications.Municipal Policy Analysis: Adapted federal-level data processing systems for municipal use, leveraging language models to improve local government information accessibility. Implemented efficient processing pipelines for historical legislative data.Municipal Development Analysis: Developed machine learning solutions for analyzing public hearing transcripts, enhancing transparency in local government decision-making processes. Applied natural language processing to improve document understanding.Municipal Information Systems: Created conversational AI solutions for accessing local government information, implementing robust architectures for handling complex queries and maintaining system reliability in production.Government Resource Platform: Designed and deployed AI-assisted information retrieval systems, improving access to critical resources. Led cross-functional teams and presented scalability strategies to stakeholders.Business Intelligence Solutions: Implemented predictive analytics models for customer behavior analysis, delivering actionable insights to improve business metrics. Conducted comprehensive data analysis to identify optimization opportunities.Text Analytics Implementation: Developed natural language processing solutions for business communications, generating insights for strategic decision-making. Provided technical mentorship while maintaining stakeholder relationships.

Calgary, Alberta, Canada

Calgary, Alberta, Canada

Bostie AI Assistant: Designed and deployed an AI-powered assistance platform using large language models and vector databases, significantly improving information retrieval efficiency. Led cross-functional collaboration and presented scalability strategies to key stakeholders.Customer Analytics Project: Developed machine learning models to analyze customer behavior patterns, achieving high accuracy in predicting key business metrics. Conducted data analysis to identify improvement opportunities and delivered actionable recommendations.Natural Language Processing Solutions: Implemented sentiment analysis models for social media data, delivering insights that enhanced marketing strategies. Mentored team members in NLP techniques and machine learning model evaluation while maintaining stakeholder communication.

Pretoria, Gauteng, South Africa

Parameter Estimation using Least Squares method: Estimated the unknown parameters of the several interatomic potentials including Morse, Rydberg, classical Lennard-Jones, Biswas-Hamann, simplified and original Buckingham potentials using the method of least squares.Statistical Attachment of Atoms: Formulated a family of nonlinear second-order partial differential equations based on concrete potential functions, which includes classical Morse, classical Rydberg, modified Lennard-Jones and Biswas-Hamann potentials. The equations describe long nanostructural components (statistical attachments of growing nonlinear chain). The proposed eight original equations were based on interatomic potentials.Numerical Simulations: Analyzed the numerical solutions of the family of nonlinear equations using the method of lines, which is a numerically approximate approach (due to the nonlinear and stiff nature of the equations). Numerical solutions were done using computer software.Data Integration: Data for different atoms including copper, aluminum, titanium, silver, gold, copper silver alloy were downloaded from a public repository. The downloaded data was fitted into the obtained matrices (using least squares) to numerically estimate interatomic potential parameters. The potential parameters were used for numerical simulations of the nonlinear ODEs and PDEs through different built-in algorithms in Mathematica and Mathcad.Project Management: Developed timelines for research projects and ensured that the research team worked within the timeframes to meet the deadlines. Trained and mentored graduate students. Assisted their advisors by validating proposed mathematical analysis, pre-edited and extensively proofread their research papers.

Pretoria, Gauteng, South Africa

Mathematics Fundamentals: Introduced foundational mathematics concepts to first-year students, covering topics such as sets of numbers, algebra fundamentals, types of functions, logarithmic and exponential laws, and matrices. Emphasized real-world applications to demonstrate the practical relevance of mathematics.Practical Applications of Mathematics: Focused on helping students see mathematics as an applicable, valuable subject by highlighting real-life uses of abstract topics, fostering a holistic and engaging learning experience.Statistics and Data Analysis: Demonstrated the role of statistics in data analysis through random sampling methods. Guided students in using Microsoft Excel to visualize, interpret, and analyze data, building foundational data skills.Descriptive Statistics: Explained single-variable descriptive measures (mean, median, mode, variance, standard deviation) and multivariate measures (correlation, regression) using both theoretical and computational approaches, equipping students with essential tools for statistical analysis.

Pretoria, Gauteng, South Africa

South Africa

Diploma, Data Science

Intense and immersive coding experience at Canada's leading coding bootcamp. Put in 8 to 11 hours of learning per day (including Saturdays.

Doctor Of Philosophy, Phd Applied Math, 81%

Magister Technologiae, Mtech Applied Math, 75%

Bachelor Of Science, Bsc Mathematics