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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.
27 FREE Professional and Comprehensive Business Strategy Skills for Claude Code; with intelligent context chaining, skill iteration, terminal charts and HTML visualization options.
A curated collection of specialized AI assistant configurations that transform generic AI into expert personas with domain-specific capabilities, structured workflows, and professional methodologies.
AI-Driven Large Dataset Analysis & Commercial Decision-Making: Research on predictive analytics, machine learning strategies, and real-world business applications [Python, TensorFlow, PyTorch] 🤖📊
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.
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.
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 📈.
The official strategic toolkit for "Decisively Digital" by Alexander Loth (Wiley). Actionable frameworks for digital strategy, culture, data, and transformation.
Market and consumer analysis for positioning a new Philips product in a competitive landscape. Includes competitor analysis, survey insights, and strategic recommendations based on data-driven findings.
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.