Aircraft Valuation SaaS: Predicting Prices with ML & Big Data
· Tech Objective: Developed a SaaS using Databricks, Apache Spark and Python to predict aircraft prices based on Machine Learning models (Linear Regression, KNN and Random Forest).
· Business Objective: This project enhances decision-making in aviation by leveraging Big Data for accurate, scalable valuations. Over 2,500 aircraft models analyzed to deliver precise insights for industry stakeholders.
Featured Projects.
Enhancing Maritime Efficiency:
Machine Learning in Ship Movements
· Tech Objective: Develop a Python code using data analysis oriented libraries such as Pandas and Numpy, and MatPlotLib for data visualization.
· Business Objective: Enhance the efficiency and safety of maritime operations by accurately predicting vessel behavior in real time.
Recidivism Risk Assessment: A Machine Learning Analysis
· Tech Objective: Utilize COMPAS data with Python tools such as pandas, numpy, and matplotlib for data manipulation and visualization. Apply machine learning algorithms to assess the accuracy of recidivism predictions. Conduct bias detection using statistical fairness metrics
· Business Objective: Evaluate the effectiveness of COMPAS in reducing recidivism and aiding judicial decisions, ensuring fairness across demographic groups.
Telecom Company Business Analysis with Apache Spark
· Tech Objective: Develop a business analysis of a company using Databricks, a service for the analysis of large volumes of data using the distributed computing framework Apache Spark (Cluster of 15.25GB of RAM and 2 cores).
· Business Objective: Perform a complete analysis of a company's customer portfolio to develop a commercial strategy.
