• Designed and created an application for the efficient generation of test bundles, resulting in a processing time reduction of over 85% compared to manual operations.• Conducted a comparative data analysis on Carrier Aggregation (CA) combo logs and devised an innovative algorithm to automatically generate accessible and valid sub-CA combos for future carrier use.

• Detected and propagated the configuration changes from a source carrier to the chosen target carriers, improving the accuracy from 85% to 97%.• Developed a data processing pipeline to parse and integrate diverse inputs of Carrier Aggregation (CA) combos, identifying potential exceptions by aligning processed CA combos.

• Big Data Programming Teaching Assistant, Aug. 2019 – Dec. 2019.• Foundation of Data Science Teaching Assistant, Jan. 2020 – May. 2020.

• Chinese word segmentation presents a complex and crucial undertaking, with a notable challenge being the inclusion of numerous newly emerging words that are absent from the employed segmentation dictionary.• Devised an innovative algorithm for mining newly emerging words by leveraging extensive daily user queries processed by Hadoop, enhancing the word segmentation system's accuracy from 91% to 95%.

• Implemented a manually crafted, pattern-based entity extractor for over 10 entry categories within Chinese Wikidata. • The algorithm achieves a 92% accuracy rate, confirmed through human validation by checking the extracted tuples.