A healthcare professional and data analyst with over 5 year of experience maximizing patient wellness, client services, provider relations and company profitability using Information Technology and data analytic skills to ask the right questions, collect, prepare, process, analyze, interpret, visualize and act on various types of statistical data. A confident communicator with proficiency in Excel, SQL, Python and Power BI
Follow me on Twitter @ Jude_DAnalyst.
This is a sales dashboard from DataDNA Challenge I participated in
This analysis answered these questions:
1. What was the best year for sales,
2. What was the best month for sales,
3. What city had the highest sales,
4. What time should adverts be displayed to maximize the likelihood of patronage,
5. What Product are often sold together,
6. What product sold the most and why.
Since Nigeria didn't qualify for the World Cup, it's natural to support Brazil. Brazil is the most successful national team in the FIFA World Cup history, from the days of Pele "the greatest" to Ronaldo De Lima and now to Neymar, G. Jesus, Richarlison, Paqueta, Alison etc, no wonder they are number 1 in FIFA ranking and have the tournament 5 times..
This analysis answered these questions:
1. Brazil's World Cup history,
2. Brazil's road to Qatar 2022 FIFA World Cup,
3. Brazil's expectations for this years World Cup.
This is an October 2022 Twitter perception analysis of Mr. Peter Obi, the Presidential candidate of Labour Party in the 2023 Elections in Nigeria.
I used Python to scrap his twitter activities for the month, did some data preparation in Excel and Power BI to create the visual showing:
1. Number of Tweets, Likes, Retweets and Quotes,
2. Tweet Sentiments,
3. Tweets with the most Likes and Retweets,
4. Tweet count b day and time.
Questions answered include
In this data analysis of a telecom company, 4 critical questions were answered
1. How many customers joined and churned the company,
2. Profile of the customers who Stayed, Joined and Churned the company,
3. Key drivers of customer churn,
4. Is the company losing high value customers?, if so, how can they be retained.
Here I analyzed a Pizza dataset I got from Maven challenge playground
It was indeed a challenge that helped me improve my critical thinking skills, Problem solving skills
and a deeper understanding/use of data analytics skills.
Questions answered include
1. What days and times do we tend to be the busiest,
2. How many pizzas are we making during peak periods,
3. Best and worst selling pizzas and average order value,
This was my #10daysofpowerbi project. Here I analyzed a bike sales dataset. During the preparation and cleaning stage I noticed the calculated fields in the data were wrong and I had to recalculate and do other clean up. It was a good learning experience.
Questions answered include
1. Top 5 countries with highest revenue and profit,
2. Sales trend and revenue generated each month,
3. Top and bottom 5 products and subcategories by profit,
4. Age group distribution
This was the first #10daysofpowerbi mini project. Here I analyzed a Maven Toys Expansion dataset.
This was a class project in my #10daysofpowerbi class where I analyzed a HR dataset of a company with the help of our tutor Nonso_Analytics.