I am currently pursuing an M.S. in Data Science at Columbia University and expect to graduate in December 2023, where I take courses based on three key areas: 1) Computer Science 2) Statistics and Causal Inference 3) Data Ethics and Capstone Projects. With previous internships, research, and competition, ranging from Technology, Retailing, Banking, Healthcare, etc., I built a solid quantitative foundation and gained hands-on experience with statistical analysis and machine learning through projects including Convenience Store Site Selection Algorithm, Covid-19 Vaccine Hesitancy Prediction, Supreme Court Decisions Prediction, and Anomaly Detection in Assets Performance. One-year study at Boston University MSBA program further trained my analytical capabilities including data wrangling, data visualization, modeling and simulation, storytelling skills, and networking techniques.I am aspired to leverage my technical & communication skills acquired from previous academic and industry experience to provide data-related business insights and data-driven decision-making under various business challenges. - Python Packages: Numpy, Pandas, Scikit-Learn, NLTK, BeautifulSoup, XGBoost, TensorFlow, Keras- Data Visualization Tools: Python (Numpy, Pandas, Matplotlib, Seaborn), Tableau, R(Plotly, ggplot2)- Modeling: Regression, Classification, Clustering, Dimension Reduction- Programming Languages: Python, SQL, R, JavaJi is now seeking 2024 Full-time opportunities as a Data Scientist or Data Analyst. Feel free to contact me via ji.qi@columbia.edu.