Niyousha Mohammadshafie

Education

University of Pittsburgh,

Pittsburgh, PA (2019-2020)

Master of Science in Civil and

Environmental Engineering

Coursework:

Machine learning, Data

programming with Python,

Design of Experiments,

Numerical Methods

Cleveland State University,

Cleveland, Ohio (2016-2018)

Master of Science in Chemical

Engineering

Sharif University of Tech

Tehran, Iran (2011-2015)

Bachelor of Science in

Chemical Engineering

Contact

adimmt@r.postjobfree.com

LinkedIn:

https://www.linkedin.com/in/ni

yousha-mohammadshafie-

7a68a37b/

GitHub:

https://github.com/nmshafie19

93

Google scholar:

https://scholar.google.com/citat

ions?user=-

NXjHykAAAAJ&hl=en

Skills

• Algorithms, Data Structure, and SQL data base

• Python, R, SQL, MATLAB, HTML, CSS, Shell scripts.

• Python libraries (Pandas, NumPy, Matplotlib, Seaborn, Spacy, TensorFlow, Keras, SciPy, Beautiful Soup).

• Object Oriented Programming, Version Control (Git), Machine Learning, Deep Learning, Data Visualization, Data Wrangling, Exploratory Data Analysis.

Projects

• Weather App:

Made a GUI weather app in Python using openweathermap.org API GitHub: https://github.com/nmshafie1993/WeatherApp

• Movie Recommender:

Made a movie recommender system that suggest movies based on users’ attributes, users’ ratings, and content of the movie.

The recommender is a collaborative filtering system that works with nearest neighbor algorithm.

GitHub: https://github.com/nmshafie1993/RecommenderSystems

• Statistical Analysis on Factors Influencing Life Expectancy:

Predicting the life expectancy using linear regression with 96% accuracy on the life expectancy dataset from WHO.

Performed data wrangling and Exploratory Data Analysis using Matplotlib and Pandas libraries.

GitHub: https://github.com/nmshafie1993/Life_Expectancy Certificates

• Data Basics (University of Pittsburgh school of computing) Nov. 2019.

• Machine Learning with Python (Coursera) Jun. 2020.

• Building a Recommendation System with Python Machine Learning and AI (LinkedIn Learning) Jul. 2020.

• HTML essential Training (LinkedIn Learning) Aug. 2020. Experiences

• Graduate Research Assistant at University of Pittsburgh (2019 – 2020) Project: Microbiology of Urban Water Systems

• Graduate Research Assistant at Cleveland State University (2016 – 2018) Project: Photoluminescence Spectroscopy of Carbon Nanotubes

Contact this candidate