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A financial analyst evaluates current and historical economic and business data to identify trends that influence business decisions. Gain the skills that make a successful financial analyst, including understanding financial statements, working with economic data, and analytical analysis skills.
This project predicts Customer Lifetime Value (CLV) for e-commerce. It aims at forecasting the revenue a business can expect from a customer over time. I did an explatory analysis. From Linear Regression to Neural Networks, explore how different models perform in predicting CLV.
The Excel for Business Management course offers an approach focused on strategic solutions for business management, aligned with the demands of the current job market. Through practical projects and real test simulations, participants develop essential skills to analyze data, create reports and make decisions, using Excel functionalities.
Focuses on dimensionality reduction within the vintage car market. Utilizing PCA and t-SNE techniques, the study analyzes a dataset with variables like mpg, cylinders, displacement, horsepower, and model year to identify distinct groups of vintage cars.
Este repositorio es la piedra angular de un curso de consultoría especializada y proporciona análisis práctico de datos y recursos de planificación estratégica. Incluye un conjunto completo de cuadernos Jupyter y conjuntos de datos CSV para aplicaciones del mundo real en evaluación de riesgos, marketing, ventas, recursos humanos, operaciones, etc.
Perform a market size analysis of the electric vehicle industry using Python to understand sales volume, demand, and growth opportunities, providing strategic recommendations for businesses.
This project showcases a dynamic Business Intelligence dashboard for e-commerce sales, analyzing key metrics such as sales, shipping efficiency, discounts, product performance, and customer segmentation. Built with SQL and DAX, it provides actionable insights to align strategy with operation, driving informed decisions and performance optimization.
In this project I used K-Means and data analysis to predict customer personalities and boost marketing campaigns, resulting in a significant improvement in marketing ROI. It utilized customer behavior data to segment them into distinct clusters, enabling personalized marketing strategies for each group, achieving higher conversion rates and ROI.
The SWOT Analysis Tool is a streamlined, interactive application designed to facilitate the strategic planning process by enabling users to conduct effective SWOT analyses. This tool helps individuals, teams, and organizations identify internal and external factors critical to decision-making, strategy development, and goal-setting.