The City College of New York (CUNY), New York, NY

Adjunct Lecturer, Fall 2018- Spring 2016

• R programming with application in statistics and data analysis.

 

Skills:  Data Analysis, R.

 

 

 

 

 

New York Metropolitan Transportation Council (NYMTC)

Research Scholar, Sep. 2017- Sep. 2018

 

The New York Metropolitan Transportation Council (NYMTC) is the metropolitan planning organization for New York City, Long Island, and the lower Hudson Valley (Putnam, Rockland, and Westchester counties). It is a federally mandated planning forum to allow the ten counties it represents to coordinate the use of federal transportation funds.

 

My role:

• Researched methods to enhance the influence of NYMTC’s regional transportation plans on municipal

land use planning decisions.

• Researched methods to help NYMTC ensure that municipal planning efforts are incorporated into the

regional planning perspective.

• Prepared a comprehensive report about Vertical Integration of Regional Transportation Plans and Land Use.

 

Skills: Data Analysis, Research, ArcGIS, Microsoft Office.

 

 

 

 

Data Capital Management (DCM), New York, NY

Data Scientist Intern, Sep. 2016 – Sep. 2017

 

Data Capital Data Capital Management (DCM) is a systematic hedge fund in NYC built on the latest big data technologies and novel data feeds. 

My role:

• Collaborated with the Trading Team in portfolio optimization.

• Data preprocessing and cleaning by developing pipelines in python.

• Created a new machine learning toolset to optimize and evaluate trading strategies. 

• Evaluated and validated predictive models accuracy using advanced data analysis and statistics approaches.

 

Skills: Machine Learning, Statistical Models, Python, Pandas, Scikit-learn, Tensorflow, Keras.

 

 

 

 

The City College of New York (CUNY), New York, NY

Research Assistant, Sep. 2014 - Present

• Collaborated with the Research Team to solve stochastic optimization and Vehicle Routing Problems.

• Applied deep learning and machine learning approaches to forecast taxi patterns in NYC by using large taxi dataset.

• Utilized large transit datasets to predict subway ridership demand in NYC by applying Multilevel Bayesian Model.

• Coded Python scripts to find the impacts of hourly precipitation on subway ridership in New York City.

• Programmed and implemented statistical analysis and predictive models.

 

Skills: Data Analysis, Optimization, Python, Matlab, R, AMPL, Gurobi, CPLEX, ArcGIS, PostGIS, QGIS, CartoDB, Bash.

 

 

 

 

Central District Transportation Committee (CDTC), Albany, NY

Transportation Planner Intern,  Summer 2013

• Analyzed and mapped crash history data for intersection and roadway safety studies.

• Worked on traffic modeling and simulation projects by using VISSIM.

 

Skills: Data Analysis, ArcGIS, Microsoft Office, Transportation Planning.