Business Intelligence, Data Science, Machine Learning
Education
Seb studied Economics and Finance at the University of Southampton with a focus on econometrics and quantitative methods.
Experience
Seb started his career in risk management, managing the implementation and operations of quantitative energy hedging strategies. Having since worked in several different industries, from finance to retail and service, Seb’s business intelligence skills were developed within the realities of real-world business requirements.
Seb has worked in a range of companies with differing levels of data maturity, from start-ups with zero data infrastructure to large multinationals with centralized global data. The constant in all these has been Seb’s drive to improve analytical decision-making through better automation, more effective models, and clarity of communication.
Outside of work
In his spare time, Seb can be found in the depths of the British Columbian wilderness, either exploring the coastal islands by kayak, or tackling a new trail in the South Coast mountains.
Business intelligence professionals extract, analyze, and present data for specific reports or projects, creating metrics and models that help stakeholders to answer important questions.
Data ScienceBusiness IntelligenceCareerArticles
Dashboarding
Collections of charts, graphs, tables, and metrics that help us understand particular business scenarios
Business IntelligenceFinancial Planning & Analysis (FP&A)ArticlesData Visualization
Structured Query Language (SQL)
A specialized programming language designed for interacting with a database
Data ScienceBusiness IntelligenceArticles
Data Validation
The process of ensuring the accuracy and quality of data
Data ScienceArticles
Business Intelligence vs. Data Science
Learn about the differences between the two concepts
Data ScienceBusiness IntelligenceCareerArticles
Database
A collection of logically related information organized so that it can be easily accessible, managed, and updated
Data ScienceBusiness IntelligenceArticles
Business Intelligence (BI)
The practice of turning data into actionable insights, allowing business leaders to make better decisions more often
Business IntelligenceFinancial Planning & Analysis (FP&A)ArticlesData Visualization
Random Sampling
The random selection of sample participants to derive conclusions and assumptions about an entire population
Data ScienceArticlesStatistics
Skewness
A measure of the deviation of a random variable’s given distribution from the normal distribution
Data ScienceArticlesStatistics
Power Query
A tool used to manipulate and transform data for business intelligence projects
Business IntelligenceArticlesPower Query
Null Hypothesis
A hypothesis that states that there is no relationship between two population parameters
Data ScienceArticlesStatisticsMachine Learning
Permutation
A mathematical technique that determines the number of possible arrangements in a set when the order matters
EconomicsData ScienceArticlesStatistics
Combination
The number of possible arrangements in a collection of items where the order does not matter
EconomicsData ScienceArticlesStatistics
Weighted Mean
Multiplying the weight of a particular event or outcome with its associated quantitative outcome and then summing all the products
Data ScienceArticlesStatistics
Central Tendency
A descriptive summary of a dataset through a single value that reflects the center of the data distribution
Data ScienceArticlesStatistics
Positively Skewed Distribution
A type of distribution in which most values are clustered around the left tail of the distribution
Data ScienceArticlesStatistics
Negatively Skewed Distribution
A type of distribution in which more values are concentrated on the right side (tail) of the distribution graph
Data ScienceArticlesStatistics
Bayes' Theorem
A mathematical formula used to determine the conditional probability of events
Data ScienceArticlesStatistics
Nonparametric Tests
Methods of statistical analysis that do not require a distribution to meet the required assumptions to be analyzed
Data ScienceArticlesStatistics
Nominal Data
Data that is used to label variables without providing quantitative values
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