Olufunmi Gbenga Odunuga

Data Analyst | Data Scientist
Lagos, NG.

About

Highly analytical Data Analyst and aspiring Data Scientist with a strong mathematical foundation and expertise in statistical modeling, data visualization, and predictive analytics. Adept at transforming complex datasets into actionable insights, I leverage Python, SQL, and Excel to drive data-driven business decisions and optimize operational efficiency. Passionate about solving real-world challenges, I am committed to delivering impactful solutions and fostering cross-functional collaboration.

Work

Cognifyz Technologies
|

Data Analyst

Remote, Global, Global

Summary

As a Data Analyst, I specialized in extracting valuable insights from large datasets to enhance strategic decision-making and operational efficiency.

Highlights

Analyzed extensive datasets to identify critical trends and patterns, directly boosting decision-making efficiency by 15%.

Developed and deployed comprehensive dashboards and reports using Tableau and Power BI, translating complex data into actionable business insights for stakeholders.

Collaborated with cross-functional teams to define data requirements, ensuring analytical outputs directly addressed key business challenges.

Pearl Consulting Group
|

Administrative Head & Data Consultant

Magboro, Ogun State, Nigeria

Summary

As Administrative Head and Data Consultant, I oversaw operational efficiency and implemented data reporting automations to enhance accuracy and accelerate insights delivery.

Highlights

Automated critical data reporting processes, successfully reducing turnaround time by 30% and significantly improving data accuracy for key stakeholders.

Managed administrative operations, optimizing workflows and resource allocation to support consulting projects and enhance overall team productivity.

Provided data consulting expertise, translating complex data requirements into actionable reporting solutions for clients.

Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ)
|

Data Science Intern

N/A, N/A, N/A

Summary

As a Data Science Intern, I focused on developing and refining predictive models and optimizing data preparation processes to improve analytical accuracy and efficiency.

Highlights

Engineered and deployed predictive models utilizing Logistic Regression and Linear Regression, significantly improving loan prediction accuracy by 15%.

Executed comprehensive data cleaning and preparation workflows, reducing data errors by 20% and enhancing overall analysis efficiency.

Applied Python libraries (Pandas, NumPy, Scikit-learn) to preprocess and analyze complex datasets, ensuring high-quality input for machine learning models.

Education

University of Ilorin
Ilorin, Kwara State, Nigeria

Post Graduate Certificate

Education

Ekiti State University
Ado Ekiti, Ekiti State, Nigeria

BSc

Mathematics

Languages

English

Certificates

Diploma in Data Analytics and Visualization

Issued By

AltSchool Africa

Product Management

Issued By

GodSoft Systems/3 Million Technical Talent

Data Science & Machine Learning

Issued By

Innkeeper/GIZ

Generative AI for Productivity

Issued By

3MTT

Project Management Professional Essentials

Issued By

Google Coursera

Skills

Data Analysis & Machine Learning

Data Cleaning & Preparation, Statistical Modeling, Predictive Analytics, Machine Learning, Problem-Solving, Critical Thinking, Data Visualization, Trend Analysis, Regression Analysis, Classification.

Programming & Databases

Python, Pandas, NumPy, Scikit-learn, SQL, SQLite, MySQL, Database Management.

Data Visualization & Reporting

Tableau, Power BI, Matplotlib, Seaborn, Excel, Dashboard Development, Report Generation.

Project Management & Collaboration

Project Management, Cross-Functional Collaboration, Go-to-Market Strategy, Market Analysis, Competitor Analysis, GitHub Collaboration, Agile Methodologies.

Emerging Technologies

Generative AI.

Interests

Professional Development

Hackathons, Data Challenges, Continuous Learning.

Personal Interests

Football Prediction Analysis, Listening to Music.

Projects

Capstone Analytics Project - Muveet App

Summary

A capstone project focused on developing a targeted go-to-market strategy for the Muveet App through comprehensive market and competitor analysis.

Content-Driven Application Development

Summary

A collaborative project focused on creating and optimizing a content-driven application with a team on GitHub.