MY PROJECTS

📈 Built a machine learning model to accurately predict flight ticket prices based on multiple influencing factors such as travel dates, airline, route, and number of stops.

• Problem: 

              Flight ticket prices fluctuate unpredictably, making it hard for travelers to plan.

• Solution: 

             Built a Random Forest Regression model that predicts fares using multiple data sources.

• Impact: 

              Achieved 98% accuracy, reduced prediction time to 5 seconds, helping users make quicker decisions.

📈 Designed a business sales performance dashboard with insights on trends and growth.

• Problem:
                  Companies often struggle to monitor sales performance effectively due to scattered data and lack of clear visualization.

• Solution:
                  Designed an interactive Business Sales Dashboard using Tableau and Python (Pandas, Matplotlib). Automated data cleaning and calculations to generate accurate reports and built intuitive charts to visualize trends and growth.

• Impact:
                  Enabled faster decision-making by providing clear insights into sales performance, customer trends, and growth opportunities. Improved accessibility of key metrics for stakeholders.