Ji Qi

Background

About Ji Qi

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, Java Ji is now seeking 2024 Full-time opportunities as a Data Scientist or Data Analyst. Feel free to contact me via ji.qi@columbia.edu.