Hi, I'm Alfonso Zapata
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Implementation of a scalable and efficient database using SQL.
Translation of business rules into SQL queries to improve efficiency in business operations.
Development of a comprehensive dashboard for billing monitoring and strategic decision making.
Development of feedback functionality with React Native and TypeScript.
Creation of service in the backend using Firestore to save user feedback.
Monitoring of Scrum methodology to carry out tasks.
My journey in the world of data science
I'm a dynamic and disciplined person with experience in data exploration and analysis with Python and SQL, capable of learning and using any tool required to facilitate business decision-making in your company.
I'm interested in scalable projects that allow me to participate in the entire data science development process. Multipurpose professional who loves challenges.
I like to take care of my health, so I practice sports such as calisthenics and athletics. Extrovert, I like to generate new interpersonal relationships, I manage a python Discord community and I constantly generate contributions to the community through academic publications on Medium.
Python
NumPy
Pandas
Git & GitHub
Postgresql
Seaborn
Matplotlib
Scikit Learn
Regular Expression
Plotly | Dash
Django
A selection of my range of project
EDA - Steam
A data set with information from 27,075 games on Steam was analyzed. It was determined which were the most purchased categories and games, the developers that earned the most money from sales, etc.
EDA - Wine quality
A data set with chemical information of different white and red wines was analyzed. It was determined which are the variables that have a stronger correlation with the quality variable.
EDA - Pokemon
A data set of Pokemon up to the 8th generation was used. The most numerous species and types of Pokemon were determined, the relationship between the different stats and variables of the pokemon was also analyzed.