Daiwei Li

Background

About Daiwei Li

Daiwei Li Davidnaonao@gmail.com |(520) 270-0797 GitHub | LinkedIn PROFESSIONAL SUMMARY Data professional with expertise in Python, SQL, and Microsoft SQL Server for data processing, management, and analysis. Experienced in machine learning through academic research and projects in computer vision, deep learning, and NLP. Skilled in data cleaning, transformation, and visualization using Tableau and SQL queries. Adept at handling large datasets, automating workflows, and developing analytical solutions for business insights. EDUCATION Arizona State University – W. P. Carey School of Business Master of Science in Business Analytics (MSBA)| GPA: 3.87 Tempe, AZ | Aug 2021 – May 2022 Relevant Coursework: Data Mining, Advanced SQL, Analytical Decision Modeling, Deep Learning Applications, Predictive Analytics University of Arizona – Physics Department Bachelor of Science (BS), Physics Tucson, AZ | Aug 2016 – May 2020 Relevant Coursework: Calculus, Statistics, Computational Physics, Advanced Physics Lab PROFESSIONAL EXPERIENCE Microchip Technology Inc. – Business Analyst Nov 2022 – Mar 2025 Data Processing & Management: Collected, cleaned, and preprocessed unstructured data using Excel (pivot tables, functions) and Python (Pandas, NumPy, SciPy). Automated data uploads, cleaning, schema modifications, and validation in Microsoft SQL Server using SQL and Python. Tableau Dashboard Development: Built interactive dashboards with SQL-integrated data sources, joins, unions, and blending. Applied advanced filtering techniques across multiple dashboards. Data Analysis & Reporting: Conducted business/market analysis, generating structured reports and data visualizations for actionable insights. Documented analysis processes and findings. TBanco, Beijing, China – Data Analytics Intern (Python) July 2019 – Aug 2019 Time-Series Forecasting: Analyzed cryptocurrency trading data using Python-based statistical models to predict market trends. Quantitative Analysis: Developed models to analyze price patterns, variance, and multi-currency correlations. TECHNICAL SKILLS Programming & Data Science: Python, SQL, C++, Shell, Linux Machine Learning & AI: TensorFlow, Scikit-Learn, CNNs, RNNs, NLP, BERT, LSTM Data Engineering & Analytics: Microsoft SQL Server, MySQL, Tableau, ETL, Data Processing