Dawei Lin

Background

About Dawei Lin

A data science enthusiast with a robust foundation in data analysis, machine learning, and statistical modeling, I bring over 7 years of finance experience and 9 years in academia. Having recently completed my Master of Science in Analytics at Georgia Tech, I am well-versed in tools like Python, R, SQL, Tableau, and D3.js, etc. My strengths lie in a deep understanding of mathematical derivations in machine learning and an analytical mindset that enables me to derive actionable insights from complex data. Known for excellent problem-solving abilities, attention to detail, and strong communication skills, I am eager to transition into a data science role where I can leverage my analytical skills to support data-driven decision-making and tackle practical projects. Skills Summary - Data Analysis: Python (Pandas, NumPy, Scikit-learn), R, SQL, Excel, Arena Simulation, PySpark, Spark/Scala - Machine Learning: Supervised and unsupervised learning, predictive modeling, regression analysis, classification, cloud-based model deployment (Azure Machine Learning)- Data Visualization: Tableau, Power BI, Matplotlib, Seaborn, D3.js - Statistical Analysis: Hypothesis testing, ANOVA, time series analysis - Natural Language Processing (NLP): Text mining, sentiment analysis, topic modeling - Big Data Processing: Distributed data processing using Spark on AWS, Azure, and GCP; experience with large datasets (1 billion+ records)- Cloud Computing: Proficient in AWS, Azure, and GCP; setting up and managing cloud environments, launching clusters - Communication Skills: Excellent written and verbal communication in Mandarin and English