Education
2017–2019: Master of business administrationUniversity of Tehran, Faculty of Management.Thesis: Technology Capability Assessment and Gap Analysis – Based on Panda & Ramanathan Model with the help of ZBWM method - CGPA : 3.46/4
2012–2016: Bachelor of Engineering,Industrial engineering
Amirkabir University of Technology, Tehran Polytechnic). CGPA : 2.93/4
Work Experience
Snapp!, The biggest ride-sharing App in Iran
September,2020– present: Senior Fraud Analyst and Machine learning expert.
• Develop and Automate various codes to investigate claims and activities in which we have a strong suspicion of fraud in all aspects of the business (drivers, bikers, passengers, financial transactions, and promoters)
• Conceptualized and implemented a sentiment analysis tool to understand customers' feedback and detect abnormalities in the system.
• created a data pipeline to consume and store 10TB of raw data weekly using Apache Airflow, Nifi, Python, and Go.
• Collected, cleansed, and provided modeling and analysis of structured and unstructured data used for business initiatives, resulting in 50k USD daily savings.
• Build predictive models using various machine learning tools to predict the possibility of churn (Logistic regression, Svm, and DTs).
• Develop a graph-based code to uncover fraud rings and the connections linking them
• Created reports and charts to perform preliminary analysis regarding suspected activities using Plotly and Matplotlib.
Parsijoo
2017 –June,2020: Business Development Specialist.As a Business Development Specialist, I was in charge of identifying new leads for expansion in order to grow the company. This overall task was made possible by a myriad of responsibilities, such as Market Research, Analyzing Business Processes, Manage Financial Information, and Customer Service. Parsijoo’s main product was tailor-made data processing software, e.g., Elasticsearch and Spark.
Volunteer Projects
COVID-19 Volunteering Project
March,2020: COVID-19 prediction .In this project, we used Plotly and some basic concepts of learning to show how bad the situation is in the world (specifically in Iran) and then we used statsmodels (a library for time series) trying to provide a predictive model for the number of deaths in the world
Computer skills
Programming Languages:Python, R, C, C++,Go (programming language)
Relevant Mathematics:Linear Algebra, Probability Theory,Hypothesis testing
ML/AI:Tensorflow, Pytorch, Sci-kit Learn,Tree-based methods, bagging, boosting
Web Technologies:CSS (Bootstrap) ,Flask
Deep Learning:GNN,Tabular Datasets and Reinforcement Learning
Database Optimization:PostgreSQL, MySQL, Apache (Hadoop), Neo4j(Beginner)
Others:SPSS, Lingo, SmartPLS
Languages
Language | CEFR Level |
---|---|
English | C1 |
Deutsche Sprache | A1 |
Persian | Native Language |
Test Scores
August 2022: TOEFLReading | Listening | Speaking | Writing |
---|---|---|---|
25 | 28 | 22 | 25 |
Total = 100 |
Quantitative | Verbal | Analytical Writing |
---|---|---|
166/170 | 155/170 | 3.5/6 |
Total = 321 |
Research Experience
Journal Article(Under review)
Javad Khaligh, SeyyedMasoud Rezvaninnejad,2023
A hybrid machine learning model for predicting customer churn under presence of uncertainty,
Amazonia Investiga Journal
Fellowships & Awards
2017
Ranked among the top 0.001% in the national entrance exam for Iranian universities, Iran, 2017
2012
Ranked among the top 0.3% in the national entrance exam for Iranian universities, Iran, 2012
Further Education
WorldQuant University, 2024
Data Science course
Packt, 2025
Data Engineering with AWS
coursera, 2023
Econometrics: Methods and Applications
Udemy, 2023
Applied Statistical Modeling for Data Analysis in R
nikamooz.com,2022
Data Engineering courses
tihe.ac.ir,2020
Data Science Course