Xiaochen Chen

Dedicated GIS & data analyst with a certificate and 5 years of experience. Demonstrated proficiency in spatial analysis across multiple industries. Skilled in digital mapping, data management & analytics, business intelligence, and graphic design.

AREAS OF EXPERTISE

          Digital Mapping

          Spatial Analysis

          Urban Planning

          Datasets Management

          Data Modeling

          Predictive Analytics

          Data Visualization

          Business Intelligence

          Graphic Design

Select Projects

EDUCATION

Executive Master of Business Administration (GPA: 3.9/4.0) – Ottawa University, Jan 2019-Jan 2022

Concentration: Information Technology & Business Data Analytics

Master of Urban Planning & Policy (GPA: 3.6/4.0) – University of Illinois at Chicago, Sep 2015-Dec 2018

Certificate: Geospatial Analysis and Visualization (GSAV)

Bachelor of Construction Management – Shandong Architecture University, China, Sep 2007-Jun 2011

TECHNICAL PROFICIENCIES

Analysis Tools: ArcGIS/QGIS (advanced), R (medium)

Business Intelligence Tools: Tableau (medium), Power BI (medium)

Programming: SQL (medium), Python (medium), HTML (knowledgeable) 

Documents & Presentations: Word (advanced), Excel (advanced), PowerPoint (advanced)

Design Tools: Photoshop (advanced), InDesign (advanced), Illustrator (advanced), SketchUp (advanced)

PROFESSIONAL EXPERIENCE

Business Intelligence Analyst – Fresh International Market, Schaumburg, Jan 2023- Present

    Generate daily, weekly, monthly sales reports and assess sales strategies by analyzing related products, markets, or trends.

    Leverage business intelligence data and tools to accurately plan and optimize inventory based on historical sales, shipment, point-of-sale and other performance data such as trends in inventory turns.


GIS & Business Analyst – RHthermo, Remote, Jan 2022- Present

    Creating and maintaining detailed GIS maps of the existing IoT heating system that provides a complete systematic inventory of the equip ments and sensors.

    Established BI tools to provide insights for operation optimization.

    Developed an interactive map using GIS and JavaScript. Users can use the control components to monitor the indoor level operations of a campus IoT heating system (23 buildings, 3700+ rooms).


GIS Analyst – Chowbus, Chicago, June 2019-Dec 2021

    Forecasted and balanced supply and demand by collecting and analyzing the constraints of geographically distributed supply chains.

    Captured user behavioral needs and pain points by using GIS spatial analysis to combine information from multiple sources (consumer data, socio-demographics, land use, operating environment, etc).


Research Assistant – Metropolitan Planning Council, Chicago, Jan 2019-May 2019

    Created, maintained, and updated various data related to the Chicago suburb paratransit system.

    Produced maps for the paratransit study in the Chicago region.

    Explored the transit ridership patterns and trends through GIS spatial analysis.


Transportation Planning Intern – Chicago Metropolitan Agency for Planning, Chicago, May 2017-Apr 2018

    Prepared data and built metrics for regional and local transportation planning.

    Engineered the processes of data mining, cleansing, and wrangling from multiple time-series transportation datasets to validate data accuracy and ensure data quality.

    Developed transportation performance evaluation measures with archived traffic data (probe data) by writing SQL scripts and working with ArcGIS Server.

    Developed GIS analysis tools to use key factors to prioritize regional transportation improvement projects by writing Python scripts and using GIS ModelBuilder.


Graduate Research Assistant – University of Illinois at Chicago, Chicago, May 2016-Dec 2017

    Analyzed multiple datasets and developed quantitative models for studies.

    Co-authored two journal papers and presented several projects at national academic conferences.

RESEARCH EXPERIENCE

Ai, N., Zheng, J., Chen, X., Kawamura, K. (2021). Neighborhood-Specific Impact Analysis of Restaurant Meal Delivery Trips: Planning Implications and Case Studies in Chicago. Journal of Urban Planning and Development, 147(2), 05021013.

Neighborhood-Specific Traffic Impact Analysis of Restaurant Meal Delivery Trips.pdf

Ai, N., Zheng, J., Chen, X.  (2018). Electric Vehicle Park-Charge-Ride Programs: A Planning Framework and Case Study in Chicago. Transportation Research Part D: Transport and Environment, Volume 59, March 2018, Pages 433-450.

TRD_2016 541_ROUND2_17 12 15_for UIC library.pdf