Hello! My name is Diego Manssur!
I am a Data Analyst who's passionate about trends and insights in the film and entertainment industry.
Hope you enjoy my portafolio!
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Hello! I’ve been having some fun learning about Machine Learning and predictive algorithms. In this article, I use a data set with 227 music tracks to predict their popularity creating and training a model. Take a look for more!
I’ve been digging into the world of AI and Machine Learning, so I decided to work on a simple ML case using predictive modeling. Hope you like it!
Hello! In this case, I analyzed data from 1558 Call Of Duty players and found some interesting insights regarding their Level, Time Played and other skills. Click here to read more!
For this case, I analyzed HR data using R to generate Linear Regressions, Box Plots and Welch-Two Sample tests. This helped me predict monthly income based on age, whether an employee would stay in the company or not, and other correlations. Click here to read more!
For my next case, I go through iron mining data using Python. This approach and coding language was really useful to verify the success of the iron mining process. Click here to read more!
Hello! It’s me again! This time, I analyzed NBA data from Season 2021-2022 using Tableau. I found very interesting facts and insights and had a great time creating different visualizations. Click to read more!
For this case, I use SQL to analyze data from 130 hospitals in the US and find very interesting and helpful insights for patients and medical professionals. Click to read more!
I had a lot of fun analyzing this data set from The International Development Association using SQL. It was really interesting to see how much money certain countries borrow and how much they pay back. Click to read more!
For this project, I explore government data to find insights and trends about international students that came to Canada between 2015 and 2023 using SQL.
In this case study from Data Analytics Accelerator, I was prompted to analyze the State of Massachusetts education data using Tableau. The main focuses were:
What schools are struggling the most?
How does class size affect college admission?
What are the top math schools in the state?
In this study, I analyze a real data set from DoorDash using Excel to find important insights about their customers and revenue. Click here to read more!