Superstore Sales Dashboard - PowerBI

Enhanced sales forecasting accuracy by 40% using advanced predictive models with historical sales data in Power BI. Increased quarterly revenue by 22% through time series analysis of historical sales trends in Power BI. Created 15-day sales estimates in Power BI, improving inventory.

Customer Segmentation using K-means Clustering - Python, Machine Learning

Operated elbow method in Python to determine the optimal number of clusters, enhancing the accuracy of K-means clustering algorithms and leading to more effective marketing strategies. Applied unsupervised machine learning techniques to analyse purchasing behaviour, resulting in a 25% increase.

Retail Price Optimization - Python, Machine Learning

Build a machine learning model using machine learning tools and algorithms such as random forests, decision trees, and linear regression. EDA was used to uncover important insights from the datasets and generate predictions related to it.

Ads-Click Through Rate Prediction - Python, Machine Learning

Achieved a 95% accuracy in predicting ad clicks by evaluating and applying multiple Machine learning models (Logistic Regression, Naive Bayes, Decision Tree, Random Forest, K-Nearest Neighbor, XGBoost) using Python, demonstrating proficiency in model selection and performance evaluation.

Counting Heads - Computer Vision, Deep Learning

Transformed output into a Gaussian map using a Gaussian distribution. Mapped input images to density maps using the CSRNet model with convolutional neural networks.

Digital Music Store Analysis - PostgreSQL

Executed complex SQL queries to extract and analyze sales and customer data, revealing insights that contributed to a 10% boost in monthly sales through data-driven promotional strategies.

Road Accident Analysis Dashboard - Advanced Excel

Conducted data cleaning, processing, analysis, and visualisation, managing 50,000+ records using Excel functions like VLOOKUP, pivot tables, formulas, and data validation. We observed a 25% increase in accidents at the top 10 locations and a 40% higher accident rate during peak hours.