• Experienced in handling large-scale text files, writing Python scripts to extract targeted information using complex regular expressions. Researched and compared various Large Language Model (LLM) frameworks, such as Autogen and Dify, and contributed to the development of a multi-agent workflow, which involved analyzing, evaluating, and refining processes while deploying prompt engineering techniques to enhance accuracy and coherence.• Responsible for data collection, preprocessing, feature engineering and prediction model validation procedures. Costumed features such as flight revenue across different airlines at different time intervals, Used the XGBoost model as a baseline model to illustrate individual feature importance and applied LSTM model as an advanced approach to measure individual prediction deviations and overall deviation.

• Utilized R and Python to conduct extensive statistical and clustering analyses on Forkaia’s applicant data, employing the random foresttechnique for missing value imputation and summarizing insights from treemaps, circular packings and dashboards.• Applied Regex and NLP techniques to transform raw applicant data into a structured dataset format, extracting keywords to illuminatecompetencies and preferred job roles for each candidate.• Mapped out a comprehensive business model canvas for bam, a start-up from Stealth1000, by establishing robust customer relationshipsand diversifying revenue streams that resulted in a significant boost in customer engagement.

• Employed Excel and R to analyze sales data for one of Geely Auto’s car models and four models from competitors spanning fiscal years2018–2022. Constructed various quantitative charts and performed regression analysis to predict sales trends and uncover customerpreferences across different brands.• Compiled a comprehensive business analysis report using PESTEL analysis and Porter’s Five Forces, supplemented by scraped externaldata sources, to elucidate the significant sales decline of one model in the first quarter of 2021.

• Assisted in constructing a secure database for clinical trials, ensuring data integrity through SAS and SQL for data querying. Managed timely updates and maintenance of the database.