Ping Chang Email & Phone Number

Taiwan

Brooklyn, New York, United States

• Collaborated cross-functionally in a fast-paced environment to optimize reporting, audit processes, and maintenance for rooftop leak detection, automating workflows with Python• Worked closely with Agile software development teams, focusing on back-end development and leveraging research methodologies to enhance project scalability, while demonstrating strong communication skills• Utilized CloudCompare for advanced point cloud processing and analysis to enhance 3D data visualization, ensuring accuracy in rooftop scans and improving the overall effectiveness of leak detection models• Showcased strong problem-solving and analytical abilities by conducting rigorous testing using pytest in a virtualized environment, reducing defect rates by 20% and improving overall system quality

Brooklyn, New York, United States

• Created and maintained scalable data processing frameworks and ETL pipelines leveraging Spark, Hadoop MapReduce for robust and efficient data manipulation of large datasets, improving data processing speed by 30%• Implemented sophisticated machine learning models using K-means algorithm to identify clusters in transportation data, increasing prediction accuracy by 20%• Presented data trends with actionable insight to non-technical audiences by using data visualizations through employing pandas and Matplotlib to aid in the process of decision making• Utilized MongoDB for data management, manipulating and analyzing large datasets, ensuring a reliable data storage infrastructure with 99.99% uptime• Employed Flask as the backbone for connecting the robust data processing backend with a user friendly front end

Brooklyn, New York, United States

• Demonstrated development experience in statistical programming with Python, utilizing libraries such as PyMC and PyTorch for advanced data analysis and model simulation in the fields of data science and information systems• Performed advanced statistical analysis, using regression, mixed models, and machine learning to analyze data on rescue prioritization efforts, improving accuracy of predictive models by 20% and ensuring results aligned with historical data sources• Applied Bayesian modeling and statistics using cleaned data to construct and refine models, enhancing interpretability of results• Conducted data profiling and data modeling to identify potential improvements and problem solving issues, leading to a 25% increase in data processing efficiency by reducing response time for information tracking

Brooklyn, New York, United States

• Developed complex queries and stored procedures using MySQL and Microsoft SQL Server Management Studio to ensure data accuracy and reliability, incorporating database design principles• Achieved a 25% improvement in response time for patient and caretaker interactions through optimized data processing, real-time updates, and enhanced communication• Utilized and researched advanced data analytics techniques, including anomaly detection, to understand and address data limitations• Integrated location monitoring system by scripting with JavaScript API to provide accurate and up-to-date information• Conducted impact analysis on connected data processes, taking note of changes in metric definitions to guarantee data quality and consistency across data pipelines

Brooklyn, New York, United States

• Developed and fine-tuned a Long Short-Term Memory (LSTM) neural network model to predict the direction of currency price movements, achieving an accuracy of 65% for 15-minute intervals.• Implemented a sliding window technique for input data, optimizing the window size to 75 minutes for accurate short-term predictions, demonstrating improved performance over larger datasets.• Experimented with multiple hyperparameters, including sliding window size, number of epochs, learning rate, and batch size, to enhance model accuracy and reduce overfitting.• Utilized dropout layers strategically within the LSTM architecture to prevent overfitting and improve generalization, leading to a robust predictive model.• Conducted rigorous performance evaluation based on directional accuracy, demonstrating the model's effectiveness in real-time currency price forecasting without incorporating macroeconomic data and news.

Brooklyn, New York, United States

• Developed an innovative framework to prevent SQL injection attacks by integrating a time delay mechanism and an extra server layer to enhance input validation security• Conducted comprehensive research on common SQL injection strategies, particularly focusing on login bypass techniques using comment sequences• Implemented and tested the framework using a self-developed, offline airline database, ensuring no harm was done during the experiments• Analyzed the performance of the proposed solution, achieving successful mitigation of SQL injection attacks in simpler trials and identifying areas for improvement in more complex scenarios

New Taipei City, Taiwan

• Taught English and Social Studies to high school students• Prioritized engagement from students who struggled during the regular semester• Expanded the number of activities during the summer program to get students more involved• Shared experiences on how to be more proactive in college as well as study tips

Master Of Science - Ms, Computer Science

Bachelor Of Science - Bs, Computer Science