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Data Scientist

Hello! I am Hernán, a data scientist with solid foundations in mathematics, statistics and computing. I graduated with a degree in mathematics and completed part of a PhD program in data science.

Thanks to my experience in teaching and research, I've developed the ability to communicate complex concepts in an accessible manner for non-technical audiences. Additionally, my analytical approach allows me to tackle problems with effective solutions, two crucial skills in the field of data science.

I have experience in programming in R and Python, including libraries like Pandas, Scikit-learn, and TensorFlow. I also have experience with Power BI, SQL (SQL Server, Google Big Query, IBM Db2, among others), and Excel.

Some projects I am or I have been working on:

https://github.com/HGalletti/Reservas_hoteleras (Data analytics and visualization with Power Bi). (In spanish for the moment).

https://github.com/HGalletti/SBA-Guaranteed-Loans (Data science project, with a very detailed EDA. Developed with Python, Pandas, Sklearn, etc).

https://github.com/HGalletti/Travel-insurance (Data analytics and visualization with Power Bi. A Power BI project with a dataset from a Udemy course).

https://github.com/HGalletti/Password-Manager (Programming in Python. A simple application to store, view and generate passwords of websites).

https://github.com/HGalletti/CancerDetection/ (A short Data science project. Developed with Python, Pandas, Sklearn, TensorFlow. Evaluating some models, including a neural network) (In Progress).

You can follow me on:

Linkedin

Hernán Galletti's Projects

planilla-de-excel-ingresos-de-cancha icon planilla-de-excel-ingresos-de-cancha

Planilla de ingresos de cancha hecha en excel. Calcula ingresos según horarios, servicios, y aplica descuentos por promociones. También calcula el sueldo de un empleado dedicado.

sba-guaranteed-loans icon sba-guaranteed-loans

Using an automatic learning algorithm, it seeks to determine if a loan granted by the SBA is going to be paid without problems or if it is going to have problems in its payments.

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