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Mabinuola Michael

Entry Level Business/Data Analyst

About me

Energetic entry-level business/data analyst with skills in business analysis, research, financial modelling and statistical analysis. I am seeking an opportunity to learn and showcase my abilities in a growing company to effectively utilize their data, analyze and draw insights that can help with decision making and improve the business strategy to the dynamic consumer wants. 

Skills and tools

Modeling
Analytical skills
JS

Education

September 2019 -June 2021
Masters in Business Administration
Chung-Ang University, Seoul, South Korea

Courses taken: Statistics, Marketing, Data Analysis, Derivative Securities, Financial Accounting, Management Information System, Strategic Management.

PROJECTS:
Options Price Modelling Project November 2020 – December 2020
• Built a multiple-step binomial option pricing model in excel which incorporated features such as a spin button to increase and decrease numbers, an IF, COMBIN function, plotted Lognormal and Normal curves.

Ediya Coffee Chain Store Business Analysis May 2020 – July 2020
• Collected information by conducting interviews and designing client/staff questionnaires.
• Conducted a business analysis to determine the objective of the organization, who the primary stakeholders are, and the issues encountered.
• Defined a solution method to find the nature and process changes that should be made.

September 2014 -July 2018
Bachelors of Science Economics
Don State Technical University

Work Experience

July 2020 -September 2020
Market Research Intern
SportVote Start-up

  •   Performed in-depth market research to identify the target market, market conditions, customer behaviour, industry trends,

    and competition.

  •   Established communication between potential clients and internal stakeholders.

  •   Collected and analyzed data by utilizing the BeautifulSoup Python Library to extract desired data from a given URL and

    stored this information in CSV and Excel format.

  •   Present analysis results, methods, and insights to internal stakeholders verbally and in written format. 

December 2020 -Currently working
Data Analyst
Self-Employed

  •   Participated in Analytics Vidhya Big Mart Sales prediction Hackathon, where I utilized XGBoost and Scikit-Learn libraryto build a predictive model to predict sales data for 1559 products across ten stores in different cities.

  •   Analyzed and Visualized the outbreak of COVID-19 with different EDA methods utilizing Python and performedgeospatial visualizations in R to provide sufficient consciousness regarding the outbreak of the Virus all over the world.