Zion Oluwasegun

I am a skilled data analyst who transforms raw data into actionable insights that drive business growth, enhance efficiency, and elevate customer satisfaction. With expertise in data storytelling and analytical methods, I help organizations and individuals in making informed, data-driven decisions. Feel free to review my resume for more details.

Skills

  • Data Analysis: Statistics, Microsoft Excel, Pandas, Numpy, Webscraping, MSSQL Server, SPSS
  • Visualization and Reporting: Power BI, Tableau, Matplotlib, Seaborn, PowerPoint
  • Basic Machine Learning: Regression, Classification, NLP, Decision Trees, Random Forest, XGBoost, Ensemble Learning,
  • Programming: Python, Basic HTML
  • Tools: Jupyter Notebook, Google Colab, VS Code, Slack, Git Desktop, GitHub, Microsoft 365
  • Soft Skills: Leadership, Teamwork, Analytical and Critical Thinking, Communication

Pizza runner

Through this project, I was able to provide value to improve Danny's pizza business by utilizing my skills in SQL. This was achieved as I:

🍕 Developed SQL queries to assess customer preferences, identifying the volume of Vegetarian and Meatlovers pizzas ordered, contributing to targeted marketing strategies...more

December 2023

Visualizing Unemployment in africa

Competed in a visualization hackathon with the aim to analyze data, identify patterns, and propose informed, data-driven recommendations that governments and stakeholders can implement to effectively address and reduce unemployment rates, particularly focusing on the African context.

August 2023

Spotify
Data Analysis

Pulled data about Nathaniel Bassey's tracks from Spotify using Spotify's API. The dashboard describes his tracks to a general audience, especially those musically-inclined.

January 2023

tackling health crises
in africa

Cleaned multiple data sets on Global Health indicators, then filtered for African countries. Analysed the data and gave insights and meaningful recomendations to tackling the rising health problems of the continent.

October 2022

Data wrangling
in python

Gathered, assessed and cleaned tweets from @WeRateDogs Twitter account. This was achieved by manipulating the JSON file housing the tweets with their metadata, and using Python libraries; Numpy, Pandas, RegularExpression, Seaborn and PIL.

September 2022

data visualization
in python

Analysed user data for a bike-share system based in Greater San Francisco Bay area for trends across timeframes and why they occur. Communicated findings and important metrics using visualisations.

August 2022

Twitter sentiment
analysis

Scraped Twitter for tweets about the #GenZHackFest conference held at Lagos. Analysed opinions of Twitter users about the event, and also words frequently used to describe the event using NLP techniques.