INNOVATOR || LEADER || CHANGE-MAKER
Data Projects
LA AIRBNB HOUSING ANALYSIS using PYTHON REGRESSION PRACTICES
As AirBnb consultants we help sellers define their listing price.
​
Part of our BAN module, we were tasked to extract, clean and apply public data, using python capabilities to create a regression score based analysis for a case study solving a realistic problem for the company in the Los Angeles region of California, USA.
.png)
NON-LINEAR STOCK MARKET OPTIMIZATION using SciPy
The primary objective was to employ nonlinear optimization to formulate an investment strategy that optimally allocates resources across the selected stocks. This strategy aims to achieve the highest possible return while considering inherent risks and market uncertainties.
​
NOW, PANW, PWR, CELH, LLY, DASH, MSFT, ADBE, INTA, and AAPL stand to benefit significantly from a sophisticated analytical approach.
FERRARI - CONSULTANCY STOCK OPTIMIZATION using ARIMA models in PYTHON
Explore the analysis conducted on predicting future sales and optimizing inventory management for the automotive brand Ferrari using ARIMA models with Python. The insights gained from this analysis can be applied to various aspects of the business, including inventory management, production planning, and overall business strategy.
​
