Data Scientist Salary analysis
This project analyzes data scientist salaries for 2023. Univariate and bivariate analysis is performed. Correlation and prediction using ML algorithms are carried out for salary prediction.
Data Analysis
Car Parking Prediction
In this work, a predictive model of parking availability is developed to improve the vehicle parking experience in Freiburg in Baden-Württemberg. Germany. In the posterior stage, the model will be integrated into a new app, informing the customer of the slot availability at arrival time.
Credit Risk Analysis
This project analyzes the implementation of multiple machine learning for credit risk assessment based on customer features. EDA is also performed.
UK Car Market
This project collects, analyzes, and uses machine learning algorithms to predict the car price in the UK market. Bayesian optimization is also performed. The models are deployed into a web app. The feature contributions in the price are determined.
Programmer Salary
This project predicts the software developer’s salary based on user inputs. The data was obtained from the Stack Overflow Survey 2021. The data app was developed using the Streamlit framework providing an intuitive user interface.
Car Price Prediction (Web scraping)
This project performs the price prediction of new and used cars in the Argentina Market. MVP to test user is vedeloped. Real-Data is collected, cleaned and analyzed from the marketplace based on vehicle features.
Argentina Currency Prediction
This project was developed based on the requirements of a local exchange agent called “Dólar OK” located in Argentina. Multiple American Dollar/Peso Argentino ratios are predicted in time series.
Wind Turbine
In this project, big data from wind turbine is analyzed and integrated. Multiple machine learning algorithms are tested to model power generation based on wind conditions.
Stock Investment Analysis
In this notebook, data exploration of stock market is performed, particularly some technology stocks. The risk of a stock, based on its previous performance history, is also analyzed. The future stock prices are predicted using Long Short Term Memory (LSTM) method. The stocks are Microsoft, Walmartm, Tesla, and Netflix.