This article explores the theory behind explainable car pricing using value decomposition, showing how machine learning models can break a predicted price into intuitive components such as brand premium, age depreciation, mileage influence, condition effects, and transmission or fuel-type adjustments.

Multi-stage data visualization framework for automotive datasets. Transforming raw vehicle metrics into actionable market insights and business intelligence through structured analytical pipelines.

📊 Professional Looker Studio dashboard for SwiftAuto Traders - Automotive sales & service analytics 🎯 Dual-dashboard solution: Sales Performance + Service Operations with 6+ integrated datasets 🏆 IBM BI Analyst Certified Project | Real-time dealer profit tracking & customer sentiment analysis 🔧 $X.X million profit tracking.

Machine Learning capstone project predicting used car prices using data preprocessing, feature engineering, and regression modeling. Includes EDA, model development, evaluation, and business insights for pricing strategy.

Advanced vehicle sales analysis project using Power BI, Python, DAX, regression, clustering, and decision tree modelling to explore how mileage, manufacture year, condition, and vehicle type affect market value and selling price in the used-car market.

Unsupervised Anomaly Detection & Predictive Maintenance pipeline for a Metro Train Air Compressor (PT3) using One-Class SVM and Isolation Forest.

🚗 End-to-End BMW Global Sales Analysis | Excel → SQL → Python → Power BI | 4,569 Records | €785.58M Revenue | EDA, K-Means Clustering, Forecasting & Interactive Dashboard

Automotive Sales Intelligence solution built in Power BI. Features full star-schema modeling, advanced DAX time-intelligence, regional dealer benchmarking, Pareto revenue concentration analysis, and data-driven customer affordability profiling.

Power BI dashboard analyzing car sales revenue and pricing drivers—make/seller performance, mileage vs price, condition buckets, transmission impact, MMR variance, and time trends.

A 3-stage optimization engine for predicting the Remaining Useful Life (RUL) of turbofan engines using Random Forest and Deep Learning (LSTM) on NASA CMAPSS dataset.

🚗 Decode car values using a transparent machine learning system that enhances price understanding through explainable methods.

This task was created to complete a technical test held by PT Prospect Motor.

🚗 Analyze car dealership performance with this interactive dashboard, leveraging business intelligence tools to drive sales and improve service efficiency.

Predicting used car market values using Multiple Linear Regression and iterative feature selection

A free fully-featured diagnostic scan tool for automotive technicians. Open Source and available for linux and windows

Predicting German used car prices using Linear Regression & Business Analytics.

Fork of CSS Electronics' excellent Claude Code skill repo for reverse-engineering CAN bus signals into DBC files, originally focused on their CANsub CAN bus interface but here attempting to add further device/log format support as well as improve the reverse-engineering methodology and techniques.

An interactive Power BI dashboard analyzing automotive sales data, including vehicle types, pricing trends, dealer performance, customer preferences, and inventory turnover rates for data-driven dealership management.

Modelo predictivo de Data Science para estimar la fiabilidad mecánica de vehículos (EE.UU) analizando especificaciones técnicas y reportes oficiales de averías (NHTSA).

BMW Sales Analytics & Classification Dashboard using Excel, Power Query, Power Pivot, and Python Machine Learning.