Seyyed Masoud Rezvaninejad


Senior Fraud Analyst and Machine learning expert

Education

2017–2019: Master of business administration

University 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: TOEFL
Reading Listening Speaking Writing
25 28 22 25
Total = 100
December 2022: GRE
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


Download Abstract

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

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