TAIWO ABIOLA PORTFOLIO

Hi, I'm Taiwo I am a versatile professional with a strong background in executive and supply chain management including data analysis, business strategy. My proficiency in tools like Excel, Power BI, SQL, and Tableau allows me to transform raw data into strategic reports that support efficient operations and long-term business growth. I am excited to bring my technical and analytical skills and knowledge to the field of data science as an entry- level data specialist. During my studies, I developed strong skills in handling complex data, with a sharp ability to identify patterns and trends. I also gained hands-on experience in laboratory methods, data management, and statistical analysis, which I am confident will contribute to my success as a data specialist.

Data Cleaning in SQL

The dataset contains a list of houses that have been sold in Nashville between 2013 and 2019. This project includes the following steps: data loading, data cleaning and preprocessing.

Data Exploration in SQL

The dataset contains records of Covid-19 cases, deaths and vaccine records by country in 2020-2021. This project includes the following steps: data loading, data cleaning and preprocessing and EDA (exploratory data analysis).

TABLEAU PROJECTS

In my Tableau projects, I worked with various datasets, focusing on data loading, cleaning, and preprocessing to ensure accuracy. I built interactive dashboards to reveal insights, using advanced visualizations to highlight trends and patterns. Each project was tailored to provide clear, actionable insights for data-driven decision-making..

EXCEL BIKE SALES DATASET

The dataset contains a list of Bikes that have been sold. This project includes the following steps: data loading, data cleaning and preprocessing, dashboard building, removing duplicates, creating pivot table and creating visualization from dataset.

POWER BI DATA SURVEY PROJECT

The dataset contains a Visualization and a list of Data Professional Survey breakdown by Country(United State, United Kingdom, Canada, India and Others). This project includes the following steps: Data Cleaning And Preparation, Simplify and Standartize Data, Creating Visualizations.

AMAZON WEB SCARPER WITH PYTHON

Developed an automated web scraping tool for an Amazon website, utilizing Python to extract product details and price information. The script was designed to run every 24 hours, checking for price changes and updating the data accordingly. The extracted data was efficiently saved to a CSV file for analysis. This project showcased my skills in web scraping, data automation, and CSV file handling to track product pricing trends.

WIKIPEDIA WEB SCARPER WITH PYTHON

Utilized web scraping techniques to extract financial data from the Wikipedia page "List of largest companies in the United States by revenue." Using Python libraries like BeautifulSoup and Pandas, I automated the retrieval of table data, ensuring accurate parsing of HTML elements. The scraped data was then cleaned and organized into a structured format before being exported and saved as a CSV file for further analysis. This project demonstrated my ability to automate data extraction and handle large datasets efficiently.