Profile

Recent Data Science graduate with a passion for data analysis and problem-solving. Skilled in using Excel, SQL, Python, and other analytical tools to manipulate, visualize, and interpret large datasets. Proficient in the fundamentals of data collection, cleaning, analysis, and presentation. Seeking to apply my analytical thinking, attention to detail, and communication skills.

Skills
Python
Tableau
Pandas
SQL
Data Visualization
sklearn
Microsoft Office
Machine Learning
Power Bi
Education

LIGHTHOUSE LABS

Data Science Diploma
2023

ROBERTSON COLLEGE

Data Analytics
2023

University of Lagos, Nigeria

Masters of Science, Applied Mathematics
2016

University of Agriculture, Abeokuta

Bachelor of Science , Mathematics
2012
Projects

Movie Recommender Engine

The purpose of this project is to build a recommender engine that suggests movie recommendations from user inputs based on the genre, tags, keywords, and directors.

07/2023

Results: The model was able to accurately recommend 30 similar movies based on the user input.

Tools: Python, Tableau, Jupyter Notebook, Pandas, Sklearn

Diabetes Detection

The purpose of this project is to analyze the contributing factors to diabetes and predict if a person is likely to have diabetes based on the parameters available.

06/2023

Results: With over 70% accuracy i could predict if a person has diabetes or not.

Tools: Python, Pandas, Machine Learning

Transforming-and-Analyzing-Data-with-SQL

The aim of this project is to show proficiency in using SQL to load, clean, and transform data, then draw insights from the data.

05/2023

Tools: PostgresSQL

Experience

STEM Montessori Academy of Canada

Data Analyst Volunteer
  • •Cleaned and prepared data for analysis and visualization.
    • 09/2023 – 10/2023
  • •Analyze data using statistical models and techniques
  • •Utilized statistical tools, quality control techniques, and data mining processes to remove inaccuracies, and improve the reliability and performance of data pipelines.
  • •Created informative and engaging data visualizations to communicate insights to stakeholders.
  • •Improved data accuracy and reduced data processing time by 40% by optimizing and automating data cleansing, extraction, and analysis processes.
  • •Worked with data analysts to support data-driven decision-making
  • •Developed and delivered data-driven presentations to senior management.

    • Kelly Services

    Technical Support
  • •Resolved 95% of customer issues on the first call by providing expert technical support over the phone.
    • 08/2023 – present
  • •Troubleshoot issues with IOS devices, including iPhones and iPads
  • •Ensured customer satisfaction by going above and beyond to resolve issues and answer questions.
  • •Identify hardware and software solutions

    • Concentrix

    Sales Advisor
  • •Receive inbound calls with an average handle time of 5 minutes
    • 06/2022 – 07/2023Winnipeg, Canada
  • •Developed and implemented a new sales strategy that resulted in a 15% increase in sales.
  • •Deal with complaints in a patient and helpful manner with 90% of calls resolved within the specified time frame.
  • •Educate customers on products and services available with a customer retention rate 0f 90%.
  • •Improved customer loyalty by keeping their information up-to-date, which leads to increased customer loyalty and repeat business.

    • Canada Revenue Agency

    Material handling Clerk
  • •Maintained records of mail and package activity with an accuracy rate of 98%.
    • 04/2023 – 06/2023Winnipeg, Canada
  • •Sorted and distributed mail and packages to the correct destinations within 2 hours of receipt.
  • •Worked independently and as part of a team to maintain records of mail and package activity with an accuracy rate of 98%.
  • •Met deadlines for receiving, sorting, and distributing mail and packages with an accuracy rate of 99%.

    • Palm Technologies

    Data Analyst
  • •Worked with large data sets, performing data cleaning, data mining, and segmentation techniques to extract valuable insights.
    • 01/2015 – 05/2022Lagos, Nigeria
  • •Conducted statistical analysis using Microsoft Excel to identify trends and patterns in datasets.
  • •Utilized statistical programming languages like Python for data analysis and visualization.
  • •Prepared reports and presented findings to stakeholders, effectively communicating complex information.
  • •Demonstrated adaptability to changes in a high-demand environment and fostered a collaborative approach with team members..
  • •Utilized reporting packages such as SQL to generate reports and analyze data.
  • •Used Microsoft Excel to track and analyze sales data, identify trends, and make recommendations.