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Hire Mostafa T.

Italy

USD 40 /hr

PhD in Statistics | Machine Learning & Clustering Expert | Research-focused R & Python Analyst

Profile Summary

PhD Statistician and Data Scientist specializing in medical and healthcare analytics. I apply machine learning, clustering, and predictive modeling using Python and R to develop data-driven solutions for patient classification, disease prediction, and clinical research. Experienced in both academic and applied research, with peer-reviewed publications and hands-on work in AI-driven health systems

Subject Matter Expertise

• ★ Machine Learning
• ★ Python
• ★ R
• ☆ Data Analysis
• ☆ Statistics

Services

• Writing
• Research
• Consulting
• Data & AI

Writing Medical Writing, Non-Medical Regulatory Writing, General Proofreading & Editing

Research Market Research, User Research, Meta-Research, Scientific and Technical Research

Consulting Healthcare Consulting, Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Data Visualization, Data Cleaning

Work Experience

Assistant Professor

Vali-E-Asr University of Rafsanjan

September 2018 - Present

Associate Consulant

Statistical consultant of Vali-e-ASR

January 2018 - January 2025

Education

Ph.D (Statistics)

Shahid Bahonar University of Kerman

September 2014 - September 2018

MSc in Statistics

Shiraz University

September 2012 - September 2014

Certifications

• Learning Python

  LinkedIn

  January 2021 - Present

Publications

JOURNAL ARTICLE

Mostafa Tamandi (2025). Modeling Bitcoin Price Dynamics: Overcoming Kurtosis and Skewness Challenges for Enhanced Predictive Accuracy . Computational Economics.

Mostafa Tamandi, Mehrdad Naderi, Elham Mirfarah, Wan-Lun Wang, Tsung-I Lin (2024). Three-way data clustering based on the mean-mixture of matrix-variate normal distributions . Computational Statistics & Data Analysis.

Mostafa Tamandi (2024). Modeling Bitcoin Price Dynamics: Overcoming Kurtosis and Skewness Challenges for Enhanced Predictive Accuracy . Computational Economics.

Analyzing skewed financial data using skew scale-shap mixtures of multivariate normal distributions @article{Tamandi, 2024,author={Tamandi, Mostafa and Amiri, Mehdi},title={Analyzing skewed financial data using skew scale-shap mixtures of multivariate normal distributions},journal={Journal of Mahani Mathematical Research},volume={},number={},pages={-},year={2024},publisher={Shahid Bahonar University of Kerman},issn={2251-7952},eissn={2645-4505},doi={10.22103/jmmr.2024.22735.1562},abstract={This paper introduces an innovative family of statistical models called the multivariate skew scale-shape mixtures of normal distributions. These models serve as a versatile tool in statistical analysis by efficiently characterizing the skewed and leptokurtic nature commonly observed in multivariate datasets. Their applicability shines in real-world scenarios where data often deviate from standard statistical assumptions due to the presence of outliers. We present an EM-type algorithm designed for maximizing likelihood estimation and evaluate the model's effectiveness through real-world data applications. Through rigorous testing against various datasets, we assess the performance and practicality of the proposed algorithm in real statistical scenarios. The results demonstrate the remarkable performance of this new family of distributions.},keywords={Shape mixtures,Scale Mixtures‎,‎EM-type algorithm‎,‎Multivariate distributions,Stock Markets},url={https://jmmrc.uk.ac.ir/article_4310.html},eprint={https://jmmrc.uk.ac.ir/article_4310_12d0a5a1b326f33ff5131f6d37402dbb.pdf}} . Journal of Mahani Mathematical Research.

مصطفی طامندی, محیا عسکری پور (2023). مقایسه دقت الگوریتم‌های یادگیری آماری در پیش‌بینی هت حرکت قیمت سهام شرکت ‌بیمه سامان به‌عنوان یک شرکت بیمه بورسی . پژوهشنامه بیمه.

Mostafa Tamandi, Anthony F. Desmond, Ahad Jamalizadeh(2023). Range-based volatility modeling in financial markets using a family of scale mixtures of Birnbaum-Saunders distribution . Communications in Statistics - Simulation and Computation. p. 1--20. Informa {UK} Limited

Omid Kharazmi and Mostafa Tamandi and Narayanaswamy Balakrishnan(2021). Information Generating Function of Ranked Set Samples . Entropy. 23. (11). p. 1381. {MDPI} {AG}

(2019). Skew-normal Mean-variance Mixture of Birnbaum-Saunders Distribution . Journal of the Iranian Statistical Society.

(2019). Finite mixture modeling using shape mixtures of the skew scale mixtures of normal distributions . Communications in Statistics - Simulation and Computation.

(2019). Finite mixture modeling using shape mixtures of the skew scale mixtures of normal distributions . Communications in Statistics - Simulation and Computation.

Tamandi, M., Jamalizadeh, A.(2019). Finite mixture modeling using shape mixtures of the skew scale mixtures of normal distributions . Communications in Statistics: Simulation and Computation.

M. Tamandi and N. Balakrishnan and A. Jamalizadeh and M. Amiri(2019). A Multivariate Skew-Normal Mean-Variance Mixture Distribution and Its Application to Environmental Data with Outlying Observations . Journal of Statistical Theory and Applications. 18. p. 244-258.

(2019). A generalized Birnbaum-Saunders distribution with application to the air pollution data .

Tamandi, M., Jamalizadeh, A., Lin, T.-I.(2019). Shape mixtures of skew-t-normal distributions: characterizations and estimation . Computational Statistics. 34. (1). p. 323-347.

Tamandi, M.(2018). On Inference about Tilt Parameter in Marshall-Olkin Family of Distributions . Journal of Statistical Theory and Applications. 17. (2). p. 261-270.

Tamandi, M., Nadarajah, S.(2016). On the Estimation of Parameters of Kumaraswamy-G Distributions . Communications in Statistics: Simulation and Computation. 45. (10). p. 3811-3821.