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CV

09/2008 - 07/2012        Industrial Engineering, B.Sc.                                                                 Specialization Area: Systems Planning and Analysis

                                                 Ferdowsi University of Mashhad

                                                 Mashhad, Iran


10/2014 - 09/2018        Industrial Engineering and Management, M.Sc.

                                                              Engineering-oriented Field: Mechanical Engineering

                                                              Economy-oriented Field: Marketing

                                                    Friedrich-Alexander University

                                                    Erlangen and Nuremberg, Germany 


04/2019 - present        Data Science, M.Sc.

                                                              Faculty of Mathematics

                                                  Chemnitz University of Technology,

                                                  Chemnitz, Germany 

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Academic Education

Bachelor Thesis:

 

          "Study of Human Resources Performance Evaluation Methods"

 

                          Human Resources Management

                          Performance Management

                          General Principles and Processes of Performance Evaluation

                          Study of Human Resources Performance Evaluation Methods

                          Implementation of Performance Evaluation systems in the context of a Case Study

Master Thesis:

         "What drives Changes in Attitudes towards Refugees? Evidence from Social Media"

 

                          Data Collection and Storage: Collecting relevant Facebook Comments, Post Descriptions,

                                Attachments, Likes, etc. using Python

                        ✔ Recognition of relevant Facebook Pages: Use of Network Nodes (Liked Pages by Pages)

                               to recognize relevant Facebook Pages
                        ✔ Data Pre-Processing and Cleansing: Design of Spelling Corrector using Python
                        ✔ Data Annotation: Group Member of Instructors for Student Assistants to annotate Comments

                               and Post Descriptions
                        ✔ Sentiment Analysis: Classification using Doc2vec and Supervised Machine Learning Algorithms

                                in Python
                        ✔ Topic Extraction: Topic Prediction for Post and Attachment Description using LDA in Python

Project Works:

                            "Investigation of Instructors Passion & Students Contribution During the Lecture:

                              Foundation of Data Science, University of California, Berkeley using Python & Tableau"

                            "Simulating Dynamic Systems using Vensim Software"

                            "Design of Library System using Microsoft Access"

                         "Ontology-based knowledge base management Efficient preprocessing of the bill of material data"

 

Internships:

08/2011 - 01/2012      Mashhad Electric Energy Distribution Co. Bereich Human Resource

                                              Design and Implementation of e-Forms for Performance Evaluation

                                              Analysis of Performance Evaluation Results

07/2016 - 09/2016      ZBW-Institute - Knowledge Discovery Department

                                             ✔ Design of an application in Python to collect, store and retrieve Facebook data

Academic Training
Further Education

Further Education:

 

              e-Courses:

 

 Progress Level                    Course Name

 

    ☑☑☑☐☐         Machine Learning

    ☑☑☑☑☑         Machine Learning: Classification

    ☑☑☑☑☑         Machine Learning: Regression

    ☑☑☑☑☑         Machine Learning Foundations: A Case Study Approach

 

    ☑☑☑☑☐         R Programming

    ☑☑☑☑☐         Machine Learning - Stanford University

 

    ☑☑☑☑☑         Data Analysis: Take it to the MAX()

 

    ☑☑☑☑☑         Introduction to Statistics: Descriptive Statistics

 

    ☑☑☑☑☑         Introduction to Statistics: Inferential Statistics

 

    ☑☑☑☑☑         Introduction to Statistics: Probability

 

    ☑☑☑☑☑         Analyzing and Visualizing Data with Power BI

 

    ☑☑☑☑☑         Knowledge Management and Big Data in Business

 

    ☑☑☑☐☐         Statistics I: Introduction to ANOVA, Regression, and Logistic                                Regression

 

    ☑☑☐☐☐         Applied Analytics Using SAS® Enterprise Miner

 

    ☑☑☑☑☑         Introduction to Statistical Concepts

 

         Lectures:

 

    ☑☑☑☑☑         Foundation of Data Science at Berkeley University

    ☑☑☑☑☑         E-Business Intelligence and Relationships at FAU

    ☑☑☑☑☑         Data Warehousing und Knowledge Discovery in Databases                                  at FAU 

    ☑☑☑☐☐         Big Data Analytics at Hamburg University

Further Education - More Details

Software Skills:

 

 

    ☑☑☑☑☐           Python

    ☑☑☐☐☐           R

    ☑☑☑☐☐           Tableau

    ☑☑☑☑☐           Excel; Especially in |Data Analysis and Visualization| &                                                                              |Insurance and Finance|

    ☑☑☑☑☐           MS Access

    ☑☑☑☐☐           Power BI

    ☑☑☑☑☐           RapidMiner

    ☑☑☑☐☐           SPSS

    ☑☑☑☐☐           STISTICA

    ☑☑☐☐☐           Java

Software Skills

Application / Bewerbungsschreiben

CV / Lebenslauf

Transcripts of Results / Notenübersicht

Documents - PDF
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