Stephen Adewoyin

Stephen Adewoyin

Data ScientistLondon, United Kingdom
+ Info

9

Connections
Pip Jamieson
Areti Micha
Sam Oluoko
Stephen Adewoyin

Stephen Adewoyin

Data ScientistLondon, United Kingdom
About me
Experienced data scientist with over 3 years experience working in Ecommerce and Financial services sectors
Work history
    N
    N
    Data ScientistNext PLC
     - Leicester, United KingdomFreelance
    Worked as part of the Ecommerce and analytics team. • Used python and different libraries such as Pandas, Scikit-learn NumPy for different analysis to communicate quantitative information effectively, such as descriptive statistics and visualization, and implement basic visualisations with Matplotlib and Seaborn, such as histograms, boxplot, etc. • Used machine learning to automate analytical model building to train data to identify patterns and make decision with little or no human interactions • Used different machine learning to detect financial fraud by predicting the value of output using classification and regression. • Used predictive analytics to predict and identify trends by developing appropriate forecasting model based on time series data • Perform daily data query and data analysis using SQL, excel, and other tools
    IBM logo
    IBM logo
    Data scientistIBM
     - London, United KingdomFull Time
    • Successfully created and presented a model to detect financial fraud trends for a finance client • Used Machine Learning to detect fraud via logistics regression and gradient descent algorithms, alone with modelling data using NoSQL to query unstructured data • Produced data visualisations dashboards and presentations for stakeholders and business executives • Prepared internal business review packages based on big-data from multiple sources • Organised and analysed big data to produce industry insight reports • Queried databases and analysed data and statistics using SQL and python • Applied various data science methodologies, including algorithmic complexity theory, numerical stability, parallelism and concurrency, testability and machine learning techniques • Involved in real-time big-data visualisation for live reporting dashboards • Supported various projects, involved in requirements gathering, data modelling and processing, segmentation and building predictive models, deep insight analysis and consumer behaviour analysis, all within agile-based environments
Skills
  • Python
  • Machine Learning
  • SQL
  • Azure
  • AWS
  • Tableau
Education
    U
    U
    BSc Computer Science, Information TechnologyUniversity of Derby
     - Derby, United Kingdom