Navid Mohseni

Navid Mohseni



Hi there, I'm Navid.
I know biographies are boring, shameless exercises in self-adoration, so I don't dive deep. Just a few things about me:
It's incredibly fulfilling to know that my life/work plays a part in assisting others, crafting tangible help, and impacting lives.
Currently, immersing myself in the intricate world of Computational Mathematics and Statistics as a Ph.D. student at Marquette University.
I've got my master's degree in Biostatistics at Shahid Beheshti University of Medical Sciences and Health Services, the first-ranked university in my country in biostatistics. My thesis was about A cure rate survival model by using discrete frailty. I also earned my bachelor's degree in Statistics from Shahid Beheshti University in 2016.
In the professional realm, I've worn several hats: an independent data analyst working on various statistical projects, a researcher, and an instructor teaching R through workshops (e.g., my website is built with R and deployed with Netlify). My stint as a data analyst at TezolMarket was particularly enlightening, as it involved tackling and resolving complex data challenges on a daily basis.
Beyond the numbers and data, I have a deep-seated interest in photography, books, running, squash, and art.
If you have any questions or comments, please feel free to contact me.
Thanks for visiting!

Download my resumé.


  • Biostatistics
  • Epidemiology
  • Data Visualization
  • R


  • Ph.D. in Computational Mathematics and Statistics, 2023

    Marquette University

  • MSc in Biostatistics, 2020

    Shahid Beheshti University of Medical Sciences and Health Services

  • BSc in Statistics, 2016

    Shahid Beheshti University



Data Analyst


Apr 2022 – Dec 2022 Tehran

Responsibilities include:

  • I work with clients by taking data, cleaning data sets, interpreting it, creating dashboards for critical KPIs, and turning data into content for reports or creative visualizations.
  • Teaching and tutoring data science and statistics topics. Also, it covers mentoring and supervising projects.

Data Analyst

Co-Founder of Maya-Stat

Jun 2021 – Mar 2022 Tehran

Responsibilities include:

  • Applied advanced analytics and statistics to analyze and prioritize the activities that add value to businesses.
  • Trying to overcome a range of challenges, such as optimizing marketing spend, forecasting demand, boosting customer retention, maximizing customer lifetime value, increasing operational efficiency, and saving costs.
  • Predictive analysis and associated processes, including pre-processing and cleaning data, exploratory data analysis, model training, testing, and evaluation.

Data Analyst


Apr 2019 – May 2021 Tehran

Responsibilities include:

  • Analyze data sets from clients to create clear and compelling reports and visualizations.
  • Using descriptive and inferential statistical techniques.
  • Communicate and share the results of the analyses for better decision-making.
  • Explaining technical material to a non-technical audience.
  • Teaching R through conducting workshops.

Data Analyst and Statistician


May 2017 – Mar 2019 Tehran

Responsibilities include:

  • Classification of stores to improve customer satisfaction based on machine learning algorithms.
  • Implemented machine learning and statistical processes, including: anomaly detection, logistic regression, dimension reduction and variable selection, decision tree, and many other techniques.
  • Generated statistical reports to support business strategy.
  • Predictive analysis and associated processes, including pre-processing and cleaning data, exploratory data analysis, model training, testing, and evaluation.
  • Developed advanced analytics solutions for the business to improve decision making process.

Statistician, R&D


Oct 2016 – Apr 2017 Tehran

Responsibilities include:

  • Analyzed and enhanced the performance and reliability of our web services through analyzing the data.
  • Worked in R&D, advertising strategies and analyzed the business development.

Statistician Intern


Jun 2016 – Sep 2016 Tehran
Monthly statistical reports and analyzing business development.


Statistics with R

Courses in R (certification of each is available):

  • Correlation and Regression
  • Exploratory Data Analysis
  • Introduction to Data
  • Multiple and Logistic Regression
  • Foundations of Inference
  • Time Series Analysis
  • Experimental Design
  • Forecasting
  • Generalized Linear Models
  • Arima Models
  • Factor Analysis
  • Structural Equation Modeling
  • Multivariate Probability Distributions
See certificate

Data Scientist with R track

List of Courses in Data Science with R (certification of each is available):

  • Introduction to R
  • Intermediate R
  • Introduction to the Tidyverse
  • R Programming
  • Introduction to Importing Data in R
  • Intermediate Importing Data in R
  • Cleaning Data in R
  • Introduction to SQL
  • Joining Data in SQL
  • Data Visualization with ggplot2 (Part 1)
  • Communicating with Data in the Tidyverse
  • Exploratory Data Analysis in R
  • Case Study: Exploratory Data Analysis in R
  • Machine Learning with caret in R
  • Machine Learning in the Tidyverse
  • Cluster Analysis in R
  • Unsupervised Learning in R
See certificate