Summary
Overview
Work history
Education
Skills
Timeline
Hi, I’m

Okunola Adebola Orogun

Wellingborough,United Kingdom
Okunola Adebola Orogun

Summary

Data Scientist Highly motivated data scientist with an exceptional academic background (BSc, MSc, PhD in progress in Computer Science) and a proven track record at leading organisations including Gitcoin, Tiiqu, RnDAO, Aragon, and Mosaic. Proficient in leveraging advanced data science tools and frameworks, such as Natural Language Processing (NLP), TensorFlow, and scikit-learn, to extract insights and build robust predictive models. Experienced in working with Python (NumPy, Pandas, Matplotlib, Seaborn) and SQL for data manipulation and analysis. Seeking new opportunities to apply expertise and make a significant impact in cutting-edge data science projects.

Overview

10
years of professional experience
10
years of post-secondary education

Work history

Prembly Inc
Remote, United State of America

Data scientist and Lead Researcher
08.2023 - Current

Job overview

  • Leading the research and development efforts in creating cutting-edge biometric verification algorithms, enhancing Prembly's technology stack. Spearheaded the design and optimization of biometric recognition models, with the aim of achieving at least 8% increase in accuracy and a 10% reduction in false positives, further solidifying our position as a leader in the industry.
  • Pioneering the integration of advanced compliance and security features into Prembly's products, ensuring alignment with the latest regulatory requirements and industry standards. Developed innovative data protection strategies, with result aim at a 25% reduction in security vulnerabilities and a seamless compliance experience for clients.
  • Fostering collaboration between data science, engineering, and product teams, facilitating the seamless translation of research findings into production-ready solutions. Established a data-driven culture within the organization, driving innovation and efficiency across all projects, resulting in a 15% reduction in development cycle times and a 20% increase in product performance.

Tiiqu
London, United Kingdom

Consultant Data Scientist
03.2023 - 08.2023

Job overview

  • As the team leader for the QuTii visualisation model development, spearheaded the creation of an open library utilising cutting- edge programming tools such as Python and JavaScript. Successfully reduced false information by 35% and bolstered critical
    thinking skills by 20%. The QuTii model is revolutionising access to verified truth through bite-sized Q&A, making it an
    indispensable resource for informed decision-making.
  • Played an integral role in a dynamic team utilizing a diverse tech stack including Python, R, and SQL to develop pioneering models
    at Tiiqu. These initiatives aimed to democratize knowledge, resulting in a significant impact, with a 40% increase in knowledge
    accessibility, a 25% rise in scientific outreach, and a 15% enhancement in skills-driven economies.
  • Contributed to a collaborative team involved in developing the myTiiQu model framework, which revolutionizes the mapping and
    measurement of dynamic soft and hard skills in the rapidly evolving information age. Leveraged programming languages such as
    Python and JavaScript to create a powerful tool that accurately captures and assesses skills. The myTiiQu framework has proven
    instrumental in enabling precise skill evaluation, resulting in enhanced talent development and informed decision-making.

Gitcoin
Remote, United states

Data Scientist
11.2021 - 04.2023

Job overview

  • Achieved impactful outcomes at Gitcoin through implementation of machine learning models: Sybil fraud detection (40% fraud
    reduction), recommender system (35% improved project matching), fraudulent transaction detection, and topic modeling with
    sentiment analysis. Utilized Python, scikit-learn, and TensorFlow for development and delivered valuable insights from user
    feedback.
  • Delivered significant revenue growth and enhanced user satisfaction at Gitcoin through implementation of an optimal token
    usage model. Leveraged advanced algorithms, machine learning techniques, and pricing optimisation strategies to achieve a 20%
    revenue increase while maintaining competitive pricing and fostering platform growth.
  • Collaborated with a team of skilled data engineers and BI analysts at Gitcoin to optimize the efficiency of the customer
    recommendation analytics engine. Through meticulous analysis and strategic enhancements, achieved a notable 33%
    improvement in engine performance. This resulted in more accurate and personalized customer recommendations, enhancing
    user satisfaction and driving business growth.

Adekunle Ajasin University
Ondo State, Nigeria

Lecturer (Data science)
01.2014 - 12.2022

Job overview

  • Led students in executing real-world data science projects, collaborating with industry partners or leveraging publicly available datasets. Projects included predictive modeling, data visualization, and machine learning applications. These hands-on experiences equipped students with the skills required for immediate industry applicability and received recognition from industry professionals for their practicality and relevance.
  • Supervised and guided student teams in completing data science capstone projects, aligning with the curriculum's practical emphasis. Several capstone projects resulted in successful solutions to real business problems, with students demonstrating their ability to apply data science techniques to complex, unstructured data and present actionable insights to stakeholders.
  • Organized and facilitated data science hackathons and competitions, encouraging students to apply their skills in a competitive environment. Students consistently achieved top rankings in regional and national data science competitions, showcasing their ability to work under pressure, collaborate effectively, and deliver innovative solutions in short timeframes.

Education

Federal University of Technology
Akure, Nigeria

PhD from Computer Science
09.2020 - 09.2023

University overview

  • Thesis Topic: Development of an Adaptive Credit Card Fraud Detection System for Financial Transactions.

University of Hertfordshire
Hatfield

Master of Science from Data Science and analytics
01.2023

University overview

Federal University of Technology
Akure, Nigeria

MSc from Computer Science
01.2015 - 09.2017

University overview

  • Thesis Title: Automatic allocation of GSM channels using graph colouring algorithms

Joseph Ayo Babalola University
Osun State, Nigeria

Bachelor of Science from Computer Science
10.2008 - 10.2012

University overview

Skills

  • Python
  • Tensorflow, Keras
  • Flask
  • R
  • AWS
  • SQL Server
  • PostgresDB
  • Tableau
  • Hadoop
  • Microsoft PowerBI
  • Microsoft office suite

Timeline

Data scientist and Lead Researcher
Prembly Inc
08.2023 - Current
Consultant Data Scientist
Tiiqu
03.2023 - 08.2023
University of Hertfordshire
Master of Science from Data Science and analytics
01.2023
Data Scientist
Gitcoin
11.2021 - 04.2023
Federal University of Technology
PhD from Computer Science
09.2020 - 09.2023
Federal University of Technology
MSc from Computer Science
01.2015 - 09.2017
Lecturer (Data science)
Adekunle Ajasin University
01.2014 - 12.2022
Joseph Ayo Babalola University
Bachelor of Science from Computer Science
10.2008 - 10.2012
Okunola Adebola Orogun