San Francisco, California, United States
Experienced in A/B testing, casual inference, time series forecasting, price optimization, dynamic pricing, and anomaly detection. Proficient in SQL and Python, with expertise in machine learning and deep learning.
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• Stories notifications • Stories ranking
• Enhanced and fine-tuned a legacy price optimization model. • Developed a demand forecasting model based on historical trends with advanced time series forecasting methods. • Implemented customer segmentation and anomaly detection to enhance booking cancellation model prediction accuracy. • Created data pipelines for EDA and processing of large-scale cloud-based datasets. • Troubleshooting the proprietary price optimization model to address rate optimization challenges.
• Applied machine learning (SVM), deep learning (ANN), advanced signal processing, and time series forecasting techniques, for anomaly detection in structural sensory data. • Developed a regression model to estimate damage intensity in structures using sensory data.