Funmi's Portfolio

Detail- oriented Data Analyst with proficiency working with Excel, Power BI, SQL, and Python. Passionate about transforming and analyzing data, and creating insightful visualizations that shows metrics, trends and patterns. Ready to leverage on my data analytics skills to solve problems and help organizations and businesses make informed and actionable decisions.
@heyfunmi
.

Exploratory Data Analysis With Excel: MonkeyPox Disease.

In this project, I carried out exploratory data analysis on the monkey pox disease. In May this year, several cases of the disease was recorded in various countries around the world, and the disease has continue to garner more attention. So I got this dataset from WHO that contains records of the disease from January 2022 to August 2022, and decided to carry out some analysis on the dataset. Data cleaning, analysis and visualization was done using Excel. Insights like total number of confirmed cases, countries with most cases, and so many more can be seen on the dashboard created.

SALES REPORT ANALYSIS USING POWER BI

Performed exploratory analysis and visualization on a superstore sales records from 2012 to 2017, using Power BI. The Power BI power query editor was used for data cleaning, and visualization was done to show important KPIs, and to get insights which could augment the super store sales record. Analysis of this dataset also provides answers to questions such as the most sold goods by the superstore, most profitable sales channel, least profitable goods and so many more. I also did profer strategic recommendations that could boost the growth of the superstore.

DATA EXPLORATION AND ANALYSIS USING PYTHON

Performed exploratory analysis on gun violence incidents across the fifty states in the USA. I totally enjoyed working on this project as it was a jaw-dropper to me. The dataset contains records of gun violence incidents in the USA from 2018 to 2022. Analysis was done using Python libraries such as Numpy, Pandas, Matplotlib and Seaborn. The analysis of this dataset gives answers to some important questions such as; states with the most gun violence incidents, cities with the most gun violence incidents, total number of deaths caused by gun violence incidents within the period of this record, and answers to a plethora of intriguing questions .

DATA EXPLORATION USING SQL

Performed exploratry analysis on petrol/gas prices and consumption across the world using SQL. The dataset gotten from kaggle, contains prices of petrol/gas in ALL countries across the world, daily barrel consumption of each country, and so many other records. I ran alot of queries on the dataset and got insights such as the countries that consumes the most petrol/ gas daily, countries with the cheapest and most expensive prices for a liter of petrol/gas, average price of a liter of petrol/gas across the world and so many other questions.

PEOPLE ANALYTICS USING MICROSOFT EXCEL

Performed analysis on an HR dataset using Microsoft Excel. Analysis was done to provide a detailed end of the year summary of the company's HR records, in order to get an understanding of the employees performance through the year and to help the company's stakeholders in understanding the performance of different sectors of the company.

Location

Lagos, Nigeria

Phone

(234) 702-652-1865

Email

heyfunmi@gmail.com

Social