Engineering Professor Resume New York, NY - Hire IT People

APPLICABLE SKILLS:

Python, Numpy, Scipy, Pandas (6 years)
Pyspark (1 year)
Matlab (6 years)
Redhat and Ubuntu Linux (12 years)
Java (1 years)
MySQL, Postgres, Oracle (5 years)
Apache web - service (5 years)
Django and Web2py web framework (5 years)
Javascript, Jquery, Angular JS (4 years)
CSS, Bootstrap (4 years)

WORK EXPERIENCE:

Engineering Professor

Confidential, New York, NY

Responsibilities:

Serve as assistant faculty member in the Construction Management and Civil Engineering Department at the Confidential .
Prepare and present lecture material for undergraduate civil engineering courses in fluid mechanics and land surveying.
Prepare and conduct laboratory experiments, and grade student assignments and exams.
Setup research and development server to run Python web - service in Django, Hadoop data cluster and run Scala applications within Pyspark and NoSQL applications within Confidential .
Run research applications to access Confidential from Pyspark programs and perform queries on Confidential with Confidential .

Python Developer

Confidential, New York, New York

Responsibilities:

Developed Python, Django, Twisted and Confidential web service applications concentrating in class based views to analyze and report financial data analysis results and deploy as a Windows service.
These web service applications used Python's multithreading and database libraries in an object-oriented framework to run multiple applications asynchronously and store and retrieve results in a common MSSQL database.
Frontend development to these applications involved Javascript development using Angular/JQuery libraries concentrating in controller and directive constructs to update the web interface dashboard in real-time.

Data Analyst

Confidential, Branchburg, NJ

Responsibilities:

Analyzed geospatial relationships of cost to revenue ratio of cellular service, signal strength between carrier providers and usage volume of cellular network.
Developed Python data analysis tools using Pandas, Numpy, and Scipy to perform multivariate regression analysis on network data.
Used Arcgis and Business Analyst to access geospatial databases and MS Access and perform geospatial querying and regression analysis towards determining optimum market areas within cellular network.

Research Hydraulic Engineer

Confidential, Vicksburg, MS

Responsibilities:

Engineer on research project to setup Python web-service on Redhat Linux server using Web2py web framework.
Developed backend web modules to access government data servers with Open-Dap, Sensor Observation Service(SOS), and FTP in Python.
Developed backend Python interface to MySQL, Postgres and Oracle databases.
Developed backend Numpy and Scipy numerical routines to analyze and process oceanographic and meteorologic data from government sponsored online sources including Confidential .
Developed model-view-controller (MVC) web framework in Python, HTML and Javascript.
Developed frontend web pages to present the user's data and downloads in graphical and tabular form using HTML, Jquery, AngularJS and bootstrap CSS.
Responsible for developing, testing, documenting and marketing these programs to users gaining their feedback and recommendations.
Co-leader on research project to analyze production data from dredging fleet.
Developed numerical routines in Python Numpy, Scipy and Pandas to analyze the streaming data from onboard ship computers and sensors.
Developed Oracle database SQL queries to extract, modify and store dredging fleet data from remote data server.
Developed engineering reports using data analysis and linear regression results from Python Pandas and presented results in graphical form using Python plotting utilities.
Lead engineer on Dredging Knowledge-Base Expert-System to solve dredge project performance metrics based on engineering project and hydraulic pipeline parameters.
Developed and tested the programs using Matlab mathematical software, Java, C Language Expert-system, and Python scripting. Responsible for development of program on a web-based interface, comparing program results to operational field data, presenting conference papers and publishing results in a peer-reviewed Confidential journal.
Lead engineer on dredging fleet data study to determine viable trends in dredging production and throughput.
Used statistical analysis in Matlab and Java to determine national dredging volume trends and cost data.
Developed engineering reports and published conference proceedings and presented findings at conference.

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Engineering Professor Resume

New York, NY

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