Demand Forecasting & Analytics Project
路 Improved client profitability and customer satisfaction through data-driven forecasting.
路 Cleaned and processed structured/unstructured data; implemented time series models to predict order surges.
路 Developed an Excel-based simulator for automated demand forecasting.
路 Built Power BI dashboards to visualize sales trends and support decision-making.
路 Tools: Python, MS Excel, Power BI, OpenRefine, VS Code.
路 Achieved measurable business efficiency; selected among Top 10 projects by IIT review panel.
Revenue Optimization Insights for Nationwide Hotel Chain Using Power BI
路 Created the key metrics for revenue insights.
路 Create a dashboard according to the stakeholder鈥檚 request.
路 Create relevant insights to improve the efficiency of the hotel.
Forecasting Crime Categories using Machine Learning
路 Developed a supervised classification model to predict crime types from historical data. Conducted data cleaning, EDA, and preprocessing, and applied logistic regression, decision trees, random forest, XGB classifier, and SVC with hyperparameter tuning for optimal performance. Tools Used: Kaggle Notebook, Python, Machine Learning algorithms.
Vehicle Parking and Smart Retail Web Application
路 Built a full-stack app with user admin authentication & authorization form validation, admin and user dashboard & database management.
Used Python, Flask, Flask-RESTFUL, Vue, SQLite, HTML/CSS, Bootstrap. Handled file storage and responsive UI design
