Predictive Analysis on Climate Change and Impacts in Africa

Overview: According to the United Nations, Climate change refers to long-term shifts in temperatures and weather patterns. Such shifts can be natural, due to changes in the sun’s activity or large volcanic eruptions. But since the 1800s, human activities have been the main driver of climate change, primarily due to the burning of fossil fuels like coal, oil, and gas. This project seeks to Predict the CO2 levels (at each African region) in the year 2025, also to determine if CO2 levels affect annual temperature in the selected African countries.

Food Claim Exploratory Data Analysis On Python

Business Background: Vivendo is a fast food chain in Brazil with over 200 outlets. Customers often claim compensation from the company for food poisoning. The legal team processes these claims. The legal team has offices in four locations. The legal team wants to improve how long it takes to reply to customers and close claims. The head of the legal department wants a report on how each location differs in the time it takes to close claims.

Product Sales Exploratory Data Analysis On Python

Business Questions: The Business Executives Want To Know:

  • How Many Customers Were There For Each Approach
  • What Does The Spread Of The Revenue Look Like Overall And For Each Method?
  • Was There Any Difference In Revenue Over Time For Each Of The Methods?
  • Based On The Data, Which Method Would You Recommend We Continue To Use?

Covid-19 Vaccination Analysis On Microsoft SQL Server

The Covid-19 pandemic was unprecedented and claimed numerous lives. I embarked on a journey to gain insights into the global impact of Covid-19. The datasets utilized for this project were sourced from the World Health Organization (WHO). The analysis was conducted using Microsoft SQL Server.

The following questions are what this analysis seeks to answer:

  • Percent Population Vaccinated
  • Percent Population Vaccinated
  • Deaths By Continent
  • Continents with the highest death count per population
  • Countries with Highest Infection Rate Compared to Population
  • Total cases & population percentage infected
  • Total Cases vs Total Deaths in Nigeria

Maintenance KPIs Backlog Analysis on Power BI

This project showcases how various departments within the organization can enhance the efficiency of scheduling and conducting technical maintenance activities.

Social Media Management Tool Project On Excel And Tableau

The Social Media Management Tool Project was a research endeavor I conducted to produce a report containing actionable insights for my team regarding the Social Media Management Tool project we were developing. This project, known as Synkify, aimed to facilitate businesses in integrating all their social media platforms within a unified user interface. The ultimate goal was to enhance interactions between businesses and customers, optimizing their effectiveness.

The dataset of this project was a collection of data from web research. The analysis was done in Excel and visualization was done in Tableau.

My Projects On Tableau

I have utilised Tableau for various projects, these projects encompassed various domains, including Udemy courses analysis, Sprocket Central Pty Ltd, Social Media Management Tools and their capacity analysis, Covid-19 Project Dashboard and more.

Sales and Transactions Report Analysis on Power BI

The following highlights Sales transactions over the period of 4 years:

  • How sales trended over the Month
  • How Customer Segments Rank over the Month
  • Average Sales by Day of Week
  • No of Transaction by Day of the Week
  • Top 10 State by Sales
  • Bottom 10 State by Sales
  • Percentage of Transaction Shipments of the Top 10 States
  • Sales Distribution by Cities
  • Advanced Sales Exploration & Analysis
  • Decomposition tree
  • Key Influencers
  • Ask your Questions Button; to get more insight.
  • etc.

This analysis and visualization was done on Power BI.

images/Sales POS2.png

Dashboards And Visualizations

Most stakeholders' primary focus revolves around insights. It has been proven that conveying insights through images is more comprehensible than using figures alone. Therefore, I've extensively researched optimal chart formats for various audiences and the unique aspects of the insights to be communicated.

Here are a few dashboards and Charts I created using Python, Power BI, Tableau, and Excel