A clear, generally concise proposal format to win hearts and minds
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Updated
Feb 6, 2025
A clear, generally concise proposal format to win hearts and minds
This repository contains the Business Intelligence insights generated as part of the final project challenge for the DTU Data Science course 42578: Advanced Business Analytics
A PowerBI dashboard to explore the raw sales data for an online retailer of bicycles and bicycle components in order to obtain insights into its sales performance, customers, and products.
IoT Forensics Master Thesis @POLIMI
Discussions around the processes and coordination of the ourStory bMO Community
New Relic leadership view, based on workloads
Robust insurance fraud detection project using Python and Power BI. Covers data preprocessing and EDA, three machine learning algorithms (Logistic Regression, Random Forest, and tuned XGBoost with SMOTE and Optuna), SHAP for model interpretability, and a business dashboard with KPIs, fraud trends, category insights, and per-claim fraud explanations
Executive summary for my GitHub profile.
A workflow built for Executives in Retail and E-Commerce that sends a 90-word executive summary email to a manager including KPIs and anomalies detected the previous day compared to a 14-30 day baseline with a visual representation in a sparkline chart.
Prediction of future electric vehicle mileage and assessment of required infrastructure.
This repository contains my completed tasks from the BCG Data Science Virtual Job Simulation on Forage. The simulation provided hands-on experience in data analysis, machine learning, and business problem-solving using real-world datasets.
Core Value: To Build the Strong Foundations Of Knowledge, Growth, Create Value, Drive Strategy, and Empower Others To Excel.
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