Bhumi Patel

Dynamic aerospace engineer skilled in enhancing technical documentation processes and optimizing engine testing protocols. Proven ability to collaborate with cross-functional teams to ensure compliance and deliver high-quality results. Focused on leveraging data analysis for continuous improvement in engineering practices.

• Food Hub, Conducted comprehensive data analysis for a food aggregator company to identify key trends in restaurant demand, cuisine popularity, order cost, delivery efficiency, and customer behavior. Utilized statistical techniques to uncover actionable insights, such as top-performing restaurants and cuisines, order completion times, and rating patterns. Developed targeted recommendations to enhance customer retention and increase customer feedback participation, directly contributing to improved business strategies.
• Customer Prediction, Utilized advanced machine learning, including optimized Decision Tree and Random Forest models, to improve lead conversion prediction. Identified key conversion factors like website engagement and profile completion and provided data-driven recommendations to enhance resource allocation and marketing strategies.
• Loan Default, Designed and implemented machine learning solutions for loan default prediction, utilizing advanced data preprocessing and imbalance handling techniques. Selected and optimized a Random Forest Classifier through hyperparameter tuning, improving recall of high-risk cases while providing actionable insights for risk management and business strategy.
• Research on Inspirational Women in STEM, Topic of research chosen for Leadership in Diversity course to bring forward selected stories of inspirational, brave women in history from diverse backgrounds, cultures, and colors to understand their struggles, motivation, and determination to pursue a STEM field.
• Increasing the flight time of paper helicopters in a cell by 75%, Successfully implementing the DMAIC methodology, increasing the flight time of paper helicopters in a cell by 75%. Leveraged tools to define our problem and measure the flight time data for the given scale design of the Helicopter and its process.
• Study of Aerodynamic Characteristics of Leading-Edge Undulated Wing in CRADLE CFD
• Designing, Modelling, and Analysis of Cargo Aircraft with Flying Wing Concept
• Effect of Overload on Fatigue Crack Growth Behavior of Air-frame Structure through FEM Approach

• M.I.T APPLIED DATA SCIENCE WITH A.I