Pricing, Modeling, Data Analysis, Machine Learning- Built pricing models for airline sales to maximize revenue and support business goals

• Processed and cleaned 110,350 bidding pipeline data from Daikin to help increase bidding winning-probability and profits• Conducted EDA process in Python to understand business requirements and proved the probability and business strategy assumptions• Created a large number of new features including response variable, reasonable bid winning probability, etc.,• Built and tuned Ada-boost, xgboost, and Gradient Boosting models to choose important variables and improve prediction… Show more • Processed and cleaned 110,350 bidding pipeline data from Daikin to help increase bidding winning-probability and profits• Conducted EDA process in Python to understand business requirements and proved the probability and business strategy assumptions• Created a large number of new features including response variable, reasonable bid winning probability, etc.,• Built and tuned Ada-boost, xgboost, and Gradient Boosting models to choose important variables and improve prediction performance• Achieved prediction Accuracy: 81%, Recall (true positive rate): 82% Show less