Email: behnam.mhmd@gmail.com

Homepage: https://behnammhmd.wixsite.com/home

Behnam Mohammadi

Updated: 3/16/19

 

Education

Sharif University of Technology, Tehran, Iran                                                          2016 – now

M.Sc.: Master of Business Administration (MBA)

Majoring in Operations and Supply Chain Management (OSCM)

GPA: 19.21/20 (4/4) (Previous Semester GPA: 20/20)

Thesis: “Using Neural Networks, Decision Trees, and Cluster Analysis to Improve the ROI of Digital Marketing Campaigns by Detecting Telegram Channels with Sizable Fake Subscribers”

            Supervisors: Professor Shirin Aslani and Prof. Masoud Talebian

                 

Iran University of Science and Technology (IUST), Tehran, Iran                          2010 – 2015

B.Sc.: Electrical Engineering, Majoring in Communication Systems — GPA: 16.71/20

Thesis: “Analysis and Design of OFDM/OQAM System with Hexagonal Lattice Based on Filterbank Theory” (Grade: 20/20) — Supervisor: Prof. Vahid Tabataba Vakily

 

National Organization for Development of Exceptional Talents (NODET)            2003 – 2010

Secondary school, High school, and Pre-university degree

 

Research Papers

·       Sh. Aslani, B. Mohammadi, “Using Cluster Analysis to Detect Telegram Channels with Substantial Number of Fake Subscribers”, Submitted to the 15th International Conference on Management, 2018 (ICM 2018), Tehran, Iran

·       B. Mohammadi, M. Talebian, “Analyzing the Role of Apple-Samsung Lawsuits on Pricing and Marketing Strategies of the Two Companies”, Submitted to the Journal of Business Management

·       B. Mohammadi, A. Khalili-Nasr, “Do SEO, Alexa Ranking, UX/UI, and Technology-stack Influence Web-based Companies’ Ad Revenue?”, Working Paper

·       B. Mohammadi, “A Health Data Storage System Based on Blockchain and IPFS”, Working Paper

 

Book Publication

Behnam Mohammadi, Ali Akbar Jalali, et al., “Information Technology for Better Life”, Avaye Ghalam Publications, Tehran, Iran, 2015 (ISBN: 978-600-7542-16-3)

 

Teaching Assistantships

at Sharif University of Technology (Master’s Level Courses)

1

Research Methods:

Instructor of Econometrics

Prof. Khalili-Nasr

(Fall 2018)

2

Marketing Research

Prof. Aslani

(Fall 2018)

3

Marketing Management

Prof. Karami

(Fall 2018; Spring 2018)

4

Operations Management

Prof. Sepehri

(Fall 2018, Spring 2018, Fall 2017)

5

Strategic Planning

Prof. Khalili-Nasr

(Fall 2018, Spring 2018, Fall 2017)

6

Organizational Behavior

Prof. Tajeddin

(Spring 2018)

7

Organizational Behavior

Prof. Banki

(Fall 2017)

at Iran University of Science and Technology (Bachelor’s Level)

8

Microwaves

Prof. Vadjed Samiei

(Fall 2014)

 

 

Select Honors and Achievements

·       Rewarded as the 1st rank amongst all Operations and Supply Chain Management students of the MBA program at Graduate School of Management and Economics (GSME), Sharif University of Technology (2017, 2018)

·       Ranked 2nd among 120 peers in the MBA program, Sharif University of Technology (2017, 2018)

·       Ranked in the top 0.01% in the National University Entrance Exam (also known as Concours) for graduate studies in Iranian universities (2016)

·       Awarded full scholarship for the graduate program, Sharif University of Technology, Tehran, Iran (2016)

·       Ranked among the top 0.09% in the National University Entrance Exam for undergraduate studies in Iranian universities (STEM group) (2010)

·       Awarded full scholarship for the undergraduate program, Iran University of Science and Technology (IUST), Tehran, Iran (2010)

·       Recognized as “Exceptional Talent” in National University Entrance Exam (twice for Mathematics-Physics and English group) (2010)

·       Selected for National Organization for Development of Exceptional Talents (NODET) through an exam among more than 700,000 participants (twice in May 2003 and May 2006)

 

Data Science and Machine Learning Skills

·       Unsupervised Machine Learning (using Python):

Cluster Analysis (K-Means, Agglomerative, DBSCAN, etc.)

·       Supervised Machine Learning (using Python):

§  Regression and Classification using Support Vector Machines (SVMs) and Neural Networks

§  Proficient in the following libraries: Pandas, Numpy, Scipy, Statsmodels.api, openpyxl, etc.

·       Web Crawling and Scraping:

Automate extracting of information from numerous websites and exporting it as Excel, CSV, and JSON files using Python and Selenium library, Octoparse, and Parsehub

·       Database Management: SQL in MySQL

·       Data Cleaning: Python openpyxl, datetime and Pandas ExcelWriter

·       Data Preparation and Preprocessing: Scaling, Principal Component Analysis (PCA)

·       Data Visualization and Plotting: Python matplotlib.pyplot and seaborn

·       Excel Data Analytics Tools such as:

Pivot Tables, What-If-Analysis (Data Tables), Data Analysis (Regression, Histogram, etc.), Solver (Linear and Nonlinear), Clustering, vlookup/hlookup, etc.

 

Select Graduate Courses

1

Financial Econometrics

Prof. Ebrahim Nejad

20/20 — 1st among 28 peers

2

Game Theory

Prof. Talebian

18.8/20 — 1st among 24 peers

3

Marketing Research

Prof. Aslani

20/20 — 1st among 30 peers

4

Marketing Management

Prof. Karami

20/20 — 1st among 16 peers

5

Supply Chain Management

Prof. Aslani

20/20 — 1st among 21 peers

6

Operations Management

Prof. Sepehri

19.6/20 — 1st among 37 peers

7

Strategic Planning

Prof. Khalili-Nasr

20/20 — 1st among 35 peers

8

Human Resources

Prof. Mohammad Esmaeili

20/20 — 1st among 32 peers

9

Financial Management

Prof. Talebian

18.2/20 — 3rd among 27 peers

 

Programming and Computer Skills

·       Programming Languages: Python, C and C++, MATLAB, Visual Basic, Pascal, Delphi

·       Markup Languages: HTML, CSS

·       Software: SPSS, MATLAB, Octoparse, Parsehub

 

Select Course Projects

·       Investigating and analyzing the applications of the Blockchain technology in supply chain management in order to increase trust, transparency, and traceability throughout the supply chain (Dec. 2017)

·       Performing Direct (Monadic and Van Westendorp) and Indirect (Conjoint Analysis and Discrete Choice Analysis) Pricing Methods for a hypothetical MVNO telecom operator

·       Comparison of tangible and intangible assets and their role in financial success of companies (Case Study of Apple Inc. and Wal-Mart) (Dec. 2016)

·       Comparison and analysis of tangible and intangible assets and their role in financial success of companies (Case Study of Apple Inc. and Wal-Mart) (Dec. 2016)

·       A remote thermometer which transfers the temperature wirelessly using HM-T/HM-R RF modules and displays it on PC (January 2015)

·       A fast and reliable Trident-based Internet browser named “EasyNet” (August 2006)