Litong Zhang

Recent graduate with significant database system proficiency as well as the insight of big data. The comprehensive knowledge in statistical modeling and database management boost my vision in big data. I am about to combine both statistical and computational science to provide precise and advanced forsight to the client.

• Standard Language of Database: MySQL, SQL Server, PostgreSQL, MongoDB, Hazelcast
• Standard Programming Languages: Python (Jupyter, pandas, TensorFlow, Scikit-Learn) , Java, JavaScript, Html, C++
• Data Analytics Languages: R (ggplot2, caret, ShinyR etc.), SAS (base certificated programmer)

• Database Management (Data warehouse, Normalization, Schema Design & implementation)
• Algorithm, Data Structure
• Machine/Statistical Learning (Regression Tree, Random Forest, Principal Component Analysis, etc)
• Deep Learning (Neural Network, CNN, RNN)
• Mathematical Statistics, Regression Analysis, Clinical Trial, Data Visualization

 1. NISS Visualization Competition ( URL to the visualization: https://best-data-visualization.shinyapps.io/niss_visualization/ )

• Visualizing Gender & Educational Attainment Affect on the American Annual Earnings.
• Delivering creative and accurate interactive visualization using R shiny.
• Customizing and optimizing the layout and style of the page elements via HTML, CSS and Javascript.

2. INFORMS 2022 QSR Data Challenge 

• Designing tree-based algorithm for anomaly detection.
• Dividing high-dimension feature spaces of input data in to each tiny detailed small partitions.
• Creating the partition thresholds based on functional and distributional relationship of the data.