Comprehensive analysis of Coinbase's strategy utilizing various strategic analysis frameworks such as SWOT, PESTEL, and concurrence analysis.

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.

Swipe to Unlock: The Primer on Technology and Business Strategy

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.

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.

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.

Supplementary resources for 'Decisively Digital' by Alexander Loth - PowerPoint templates for digital strategy, data, and organizational readiness

A digital version of the invent phase of the Models of Impact game.

AGBI: Artificial General Business Intelligence

AI-Driven Large Dataset Analysis & Commercial Decision-Making: Research on predictive analytics, machine learning strategies, and real-world business applications [Python, TensorFlow, PyTorch] 🤖📊

I explore data to uncover meaningful insights, structure information to solve real-world problems, and support better decisions through clear, analytical thinking. I enjoy transforming raw data into actionable stories that guide actions, opportunities and drive impact.

An approach to the agile desing and implementation of a data strategy in businesses

auto-generate documentation for python code using llms

ML-powered customer retention solution for banks undergoing digital transformation, optimizing a limited budget with targeted strategies based on churn prediction and digital readiness segmentation.

Just my MS dissertation

This repository contains a project that analyzes the impact of media advertising 📺📻📰 on sales 💸 using SQL for data processing and Tableau for interactive dashboards 📊. The dashboard visualizes how advertising spend influences sales and helps optimize marketing ROI 📈.

Consulting project for Chateau de Chine Hotel Hualien

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.

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.