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.

📊 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.

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.

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

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.

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

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.

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

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

🚗 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

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

Real-time vehicle analytics API: predictive maintenance, EV battery health, driver behavior & market pricing for fleets and logistics.