I-Chung Liao

Hello! I am from Taiwan, currently pursuing a Master's Degree in Computer Science at UTD with a focus on Data Science & Intelligent Systems. I look forward to becoming a skilled data scientist or software engineer, applying advanced techniques to solve complex problems and contribute to innovative projects. I have knowledge in: Programming: Python, C/C++, MySQL, PostgreSQL, Java, R Web: JavaScript, HTML, CSS, React Machine Learning: Keras, Scikit-learn, Tensorflow, Pytorch Data Science: Hadoop, Pyspark, Databrick Data visualization: Power BI As a Graduate Intern with Dell Technologies in the summer of 2024, I worked with the large order planning team under the supply chain operations organization to analyze quotes that were not entered in SFDC. I then built a tool to track these quotes and automatically generate reports for increased visibility of winning opportunities. Key Achievements: Quote Visibility Enhancement - Analyzed quotes that were not entered in Salesforce by visualizing them in Power BI. - Developed a framework to track these quotes for enhanced visibility. - Proposed a new process and automated it using a Python script. Dual Compression on 2D CNN - Achieved a low memory requirement and computation in a CNN model with only an 8% accuracy drop. - Reduced memory requirements by 95% using circulated weights. - Removed multiplication by creating a binary activation function, reducing computation time by 90%. Data Integration and Analysis - Analyzed past academic records to predict student performance. - Created a Python interface to visualize query results. - Concatenated data from various formats, saving faculty members 30% of query time. - Implemented multiprocessing techniques, resulting in a 40% increase in program performance. I believe in constant learning and embrace change in life. It’s great to connect with you!