This is a repository created to showcase skills, share projects and track my progress in Data analytics
This dataset contains call records from different call centers. Our purpose is to explore the effective of each dataset based on their response time, reason of calling and the average of a calls among other features that we'll explore.
For an online store of computer games, it is necessary to analyze the market, identify patterns that determine the success of games, determine the user profile for each of the regions, and test working hypotheses. This will allow you to place a bet on a potentially popular product and plan advertising campaigns to help develop the store's business.
H&M Group is a family of brands and businesses with 53 online markets and approximately 4,850 stores. Our online store offers shoppers an extensive selection of products to browse through.
But with too many choices, customers might not quickly find what interests them or what they are looking for, and ultimately, they might not make a purchase. To enhance the shopping experience, product recommendations are key.
More importantly, helping customers make the right choices also has a positive implications for sustainability, as it reduces returns, and thereby minimizes emissions from transportation.
In this project, we will develop product recommendations based on data from previous transactions, as well as from customer and product meta data. The available meta data spans from simple data, such as garment type and customer age, to text data from product descriptions, to image data from garment images.
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A Tech Creative - a technology enthusiast and someone who enjoys being creative.
I am motivated by the belief that data can be used to make better decisions. I want to be able to make it easier for people to understand code and use data efficiently. I believe in open data and open source software.
I primarily use Python and a little bit of SQL, but also have experience with Tableau and Power BI to create insightful visualizations. :)
I have a passion for studying large data, utilize my analytical skills and expertise to study trends, generate informative insights and ultimately drive business growth.
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