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Predicting Rossmann sales six weeks in advance. Feel free to access the Telegram Bot in the link below.

Home Page: https://t.me/rossmann_project_api_bot

License: MIT License

Jupyter Notebook 99.24% Python 0.76%
cross-validation data-science feature-selection flask git hyperparameter-optimization jupyter-notebook lgbm machine-learning matplotlib

project-rossmann-sales's Introduction

Bruno Di Franco Albuquerque

About Me

I'm a Data Scientist with an Economics degree, and currently I'm getting my Masters in Computer Science, specializing in the "Data Science and Software Engineering" research line. I currently work at Paipe, an IT company that also develops Data Science and Machine Learning applications.

Most recently, I worked at Dadosfera as a Data Scientist, performing tasks such as data extraction using SQL in the Snowflake environment, application of web scraping techniques for data collection, data manipulation using Python, creation and maintenance of pipelines using Airflow and AWS tools, feature engineering using Big Data tools such as PySpark and Snowpark, as well as using LLM's for feature extraction. Therefore, I also did a lot of Data Engineering.

My first job in the field was at DSB, also as a Data Scientist. In this role, I was involved in Data Science projects for other companies, performing tasks ranging from data cleaning and exploratory analysis to the implementation of Machine Learning models. This also involved assessing and evaluating the performance of these models for each specific business problem.

Personal Data Projects

Data Science Projects

Data Analysis Projects

Data Engineering Projects

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