- š I'm an Industrial Engineer
- š» Iām currently learning Data Science
- š Sao Paulo, SP. Brazil.
- Business Problem: House Rocket business model consists of purchasing and reselling properties through a digital platform. The CEO wants mobile access to which properties the company should buy.
- Solution: Develop a online dashboard with selected properties, a map view with properties distribution, a table with attributes filters, and the expected profit for each property.
- Conclusion: Based on business criteria, from 21,436 available properties, 10,707 should be bought by House Rocket and could result on a US$1,249,116,423.00 profit. This results on a 30.0 % gross revenue.
Maximum Value Invested: US$4,163,721,410.00
Maximum Value Returned: US$5,412,837,833.00
Maximum Expected Profit: US$1,249,116,423.00 - Repository: Real State Insights
- Business Problem: Rossmann is a pharmacy chain that operates over 3,000 stores in 7 European countries. The stores are going to be renovated and the CFO needs to know how much can be invested in each one of them.
- Solution: Develop a prediction model for sales and a telegram bot that returns sales predictions given a store id number.
- Conclusion: The model developed predicts a gross income of $286.69 MM in the next 6 weeks for the stores available, where the best and worst case scenarios results on $313.65 MM and $259.73 MM, respectively.
- Repository: Sales Predictions for a Drugstore Chain
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