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Ifeoluwa Osasona profile image

Ifeoluwa Osasona

Data Scientist at Periculum
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Ifeoluwa Osasona, a seasoned data scientist with 2 years of experience in developing predictive analytics and credit scoring engines, leveraging data analytics to drive business insights, and collaborating on projects that bridge skills and jobs in Africa.
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Location
Lagos State, Nigeria, NG
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Credentials

  • Supervised Machine Learning: Regression and Classification
    DeepLearning.AI, Stanford University
    Jan, 2024
    - Apr, 2026
  • Data-Informed Decision Making
    Uplimit (Formerly CoRise)
    Jul, 2023
    - Apr, 2026
  • Microsoft Certified Data Analyst Associate
    Microsoft
    Oct, 2021
    - Apr, 2026
  • Member
    International Association of Engineers
    May, 2020
    - Apr, 2026
  • Data Visualization with Advanced Excel
    PwC Nigeria
    Apr, 2020
    - Apr, 2026
  • Problem solving with excel the PWC approach
    PwC
    Apr, 2020
    - Apr, 2026
  • Data-driven Decision Making
    PwC
    Mar, 2020
    - Apr, 2026
  • Student Member
    Society of Petroleum Engineers International
    Mar, 2020
    - Apr, 2026
  • Business Intelligence Analyst
    Everything on Data
    Oct, 2019
    - Apr, 2026
  • Commonwealth100 Global leader
    Common Purpose
    Jul, 2018
    - Apr, 2026
  • National association of industrial and production Engineering students (NAIPES)
    University of Benin
    Jan, 2017
    - Apr, 2026
  • Compressed air emergency breathing system
    Falck Prime Atlantic
    Nov, 2019
    - Apr, 2026
  • Helicopter underwater escape training
    Falck Prime Atlantic
    Nov, 2019
    - Apr, 2026

Experience

  • Periculum
    • Data Scientist
      • Nov 2021 - Apr 2024

      💻Built and optimized API enabled data analytics and credit scoring engine that provide predictive insights into customers' financial health, hence reducing the default rate.💻 Developed and refined algorithms for data processing, risk management, churn detection, credit scoring and related financial application💻 Identified patterns, trends and correlation in large datasets💻 Leveraged data analytics to provide novel insights into business and customer scenarios.

  • Omdena
    • Machine Learning Collaborator
      • Nov 2022 - Jan 2023

      Project: Understanding the disconnect between skills and jobs in Africa leveraging AI.Task/Learning Outcomes: 💻Qualitative and Quantitative Research💻Data Gathering💻Sentiment Analysis / Data preprocessing💻 Feature Engineering💻Data VisualizationThe end goal of this project is not just a machine learning model but definition of methods, approach, concept and analysis that would assist policy makers understand and create an enabling environment in Africa as regards skills and jobs.

  • KPMG
    • Virtual Experience Intern - Data Analytics
      • Jan 2020 - Mar 2020

  • TotalEnergies
    • Crude Oil Commercial Intern
      • Sep 2019 - Feb 2020

      Crude oil export operations Shipping coordinationCrude oil pricing/Accounting

Education

  • 2016 - 2021
    University of Benin
    Bachelor's degree, Industrial and production engineering

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Industry Focus. “Data Infrastructure and Analytics”

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