About

I am a proactive, detail oriented and result driven data analyst. I am skilled in data analysis tools such as Microsoft Excel, Power BI, Tableau, SQL and Microsoft Access to query data base, create visuals that are easy to understand, generate relationship between data, and build interactive reports that organization can use to make strategic decisions. I have great interpersonal and intrapersonal skills which enables me to work independently and as a team to deliver presentations with my great communication skills. I am open to learning and gaining more experience in all spheres of data Science while looking for opportunities to apply my previous experiences to new challenges.

Skills

  • Data Science
  • Data analyst
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Experience

Josephine Ogunyinka

Work experience
  • As a Data Analyst Intern with Quantum Analytics, my effective problem-solving and good organization skills have been applied greatly in the use of Microsoft Excels, Power BI, and Tableau to analyze certain projects for clear insights which include; 2015 flight cancellations in the USA, Historical stock price of 10 companies, world energy consumption and WHO COVID 19 analysis among others.
  • My experience with My SQL and PostgreSQL was applied to the querying of databases to fetch specific information that can be used to answer certain questions and get relevant data that can be used for visualization.

Josephine Ogunyinka

Work experience
  • January, 2023 - February, 2023
  • Fulltime
  • 1. Utilized Power Query in data cleaning.
  • 2. Converted data into actionable insight by calculating measures and defining KPIs.
  • 3. Visualized customer and agent behaviour in a call center trend.
  • 4. Generated insight for customer retention and demographics.

Josephine Ogunyinka

Work experience
  • October, 2022 - November, 2022
  • Fulltime
  • 1. Used Microsoft Excel to carry out functions such as sort and filter, text, IF and IFERROR, CountIF, sumIF, averageIF, lookUp and index and match function.
  • 2. Used pivot tables and pivot chart to create dashboard on Microsoft Excel and added slicers to the dashboard were necessary.
  • 3. Employed the use of power query on powerBI, connected to different data sources, transformed and visualized data using PowerBI and applied filters where necessary.

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