Data Analyst/ Data scientist well versed in SQL, Python, Tableau, Power BI @OmotayoTheAnalyst
In this project I Discovered that property address for the data contained address, city and date. I had to split it to make it well organized. It was also discovered that there were deplicate values contained in the data which I had to remove. Unused columns were also removed.
In this Project we Explored the COVID19 data till date, to derive insights from the data in SQL server. Among the vast discoveries seen from exploring the world Covid 19 data is: In the United States I looked into Total covid19 cases and how many of those cases resulted to deaths on daily bases. It was discovered that the death percentage ranged from 1.6% to 2.9%.
In this project i explored the olympics data from 1896 to 2016. I looked at the different types of sports for both summer and winter games. I discovered the youngest and oldest athletes to participate in the Olympics and what medal they won I also looked into the discriptive statistics of the data and discovered the median age for most of the athletes. The data shows USA has won the most gold medals over the years. Womens participation in the olympics has also increased drasticaly. This are just a few of the things discovered in the analysis.
In this project I did Exploratory data analysis and built machine learning models to determine customer churn rate for a mobile network.
Built a web scraper using python Image library to scrape images from google to build a machine learning image classifier on Poultry diseases. In this project the scraped images were preprocessed(Resized, renamed, grayscale) and prepared for machine learning models
In this Project i made use of Pyhton libraries like pandas, matplotlib, Seaborn to plot and visualize data.
In this project I looked at what variables affect the gross revenue from movies.
Lagos