Hongkai He Email & Phone Number

Chengdu, Sichuan, China

Shenzhen, Guangdong, China

- Collected the need for operational risk control and smart applications of financial data from front-line sales departments- Planned the use of operational data to support the construction of rule-based models that quantified management risks- Translated risk control needs into technical languages to be implemented as codes by developers- Successfully put 5 risk control model projects and 18 optimizations of the Integrated Operational Center platform into service

New York, United States

New York, New York, United States

-Communicated with Data Analytics team of Department of Buildings to specify the requirements of analytical products-Collected and preprocessed various building related datasets to generate useful features for modelling-Used Random Forests, Gradient Boosting, and SVM to build models that ranked illegal gas conversions risks for each building-Calibrated the models to improve the accuracy and used different metrics such as ROC curves to compare model performances

Greater New York City Area

• Using the data gathered from NYPD, and authorities, established mathematical model to examine the influences on the rates of 7 major felonies of multiple socioeconomic factors, such as park presence, income, land use, and unemployment, etc.• Used Time Series Analysis, Principle Component Analysis, Ridge Regression for analyzing data and model enhancement• Visualized the data and analytical results by using various plots, including time series plots, 3D scatter plots, and choropleth maps

Greater New York City Area

• Using census data and building data from various authorities, built a mathematical model that examine the relationship between household income and residential building energy efficiency. Visualized data and analytical results to facilitate further discussion.• Gathering, cleaning and joining multiple building data and flood related data, developed a flood risk scoring system which can predict possible flood damage to a given property in New York

Greater New York City Area

• Loaded 2015 Citibike usage data in Carto and used SQL to select trips started on weekends and within 2 hours, and selected Citibike Stations that are within 500m of Time Square• Spatially visualized the trips between the selected stations on Carto using SQL scripts

Changsha, Hunan, China

• Tested the functions of the X-BDP big data decision support platform developed lately by the company• Used various algorithms to process dataset of 2015 as training data and established a model which Predicted the monthly electricity consumption of 5 coastal provinces in China in 2017 to support the planning of electricity generation in 2017. • Predict the possible failure of the turbine shafts and booster pumps for Zhuzhou Power Plant to support the scheduling of major overhaul events in the coming 5 years

Advanced Master In Artificial Intelligence (Speech And Language Technology)

Master Of Science In Urban Informatics, Urban Informatics

Center for Urban Science and Informatics

Bachelor Of Environments, Environmental Engineering, Gpa 3.56

Activities and Societies: Vice minister of Teaching Department of Mandarin Language Club

Bachelor Of Business Administration - Bba, Business Administration And Management, General, 90

Activities and Societies: SII Volunteer Station, DUFE Model United Nations, Shanrenxing Educational Volunteer GroupAssisting to organize.