marxcerqueira / hackday-cds-time1 Goto Github PK

• 💻 I’m a data scientist and former Electrical Engineer
• 📈 I’m constantly learning and Improving my skills 🤣
• 👯 I’m looking to collaborate with other Data Scientists and developers
• 🥅 2022 Goals: Contribute more to Open Source projects
• ⚡ Fun fact: I love to jump out of airplanes ✈️🪂

VSCode	Python	pandas	NumPy	MongoDB
seaborn	scikit-learn	Apache Spark	Flask	Heroku
MySQL

An end-to-end Data Science project with statistical theory explanations behind each section. Created five machine learning models to forecast sales for Rossmann, a major European drug-store chain firm. Predictions can be accessed by users through a bot from the smartphone app Telegram.

Repository: https://github.com/marxcerqueira/Kaggle-Rossman-Sales-Prediction

Using supervisioned machine learn model and learning to Rank metrics to evaluate customers with high probabilities to be in churn. Churn rate is one of the biggest expenditures of any organization, so with this model in production we can take actions to avoid customer churn and increase ROI% by ranking which client would the company give a gift card to and how much that amount would be, in order to maximize ROI.

Repository: https://github.com/marxcerqueira/Kaggle-Client-Churn-Prediction

This project has a goal to discovery similiarity people to join a membership program. The marketing team will launch a loyalty program for the best customers in the base, called Insiders. But the team does not have an advanced knowledge in data analysis to elect the participants of the program

Repository: https://github.com/marxcerqueira/Kaggle-HighValue-Custormers-Identification

House Rocket is a Real Estate Flipping Houses business that goes on digital platform to buy and sell houses by using technology. My goal was to help the company find the best business opportunities in the real estate market using Exploratory Data Analysis. The CEO of House Rocket would like to maximize the company's revenue by finding good business opportunities.

The main objetives of this project are:

• Perform exploratory data analysis on properties available on the dataset.
• Determine which properties should be purchased according to business criteria.
• Develop an online dashboard that can be acessed by the CEO from a mobile or computer.

Repository: https://github.com/marxcerqueira/analytics-streamlit-dashboard