Projects
Driving Innovation Through Data-Driven Projects
"Transforming challenges into actionable insights with innovative solutions. Explore how real-world problems are tackled through expertise and creativity."
Loan repayment prediction
Developed a machine learning model to predict loan repayment likelihood with precision. Empowering financial institutions to make informed and data-driven decisions.
Customer behavior analysis - sales optimization
Analyzed customer purchasing patterns to uncover actionable insights. Boosted sales strategies through data-driven recommendations.
Prediction of house prices - A regresion benchmarking project
Built advanced regression models to predict house prices with high accuracy. Providing valuable insights for real estate decision-making and investment.
Finance Data Analysis
Analyzed stock trends and financial data to identify patterns and market insights. Delivering valuable predictions for smarter investment strategies.
Pizza Sales report
Examined sales data to uncover trends in customer preferences and sales performance. Provided actionable recommendations to optimize business growth.
Road accident report
Studied accident data to identify high-risk areas and factors contributing to accidents. Aimed at improving road safety through data-driven insights
Hotel booking analysis
Explored booking trends and customer preferences to understand seasonal demand and optimize hotel management strategies. Delivered actionable insights for improved customer satisfaction
911 calls analysis
Analyzed emergency call data to identify patterns and response trends. Provided key findings to enhance public safety and emergency response efficiency
Visualization of dynamic shortest paths in road networks
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Performance analysis of search-based path planning algorithms
Evaluated and compared path planning algorithms to assess efficiency and accuracy in various scenarios. Delivered insights to improve real-world navigation systems.
Performance analysis of sequential and parallel code using OpenMP
Compared the performance of sequential and parallel programming techniques. Highlighted optimization strategies to enhance computational efficiency.
Handwritten Digit recognition using MNIST dataset
Developed a machine learning model to accurately classify handwritten digits. Demonstrated the application of neural networks in image recognition tasks.
Bhavadip Dobariya
Data Enthusiast
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