Ali-Tehrani

Data Scientist

https://www.opentalent.in/ali-tehrani

PhD

Member since June 25, 2026

Key Strengths

Strong background in scientific computing and numerical methods, particularly in quantum chemistry and physics.
Proficiency in Python, C++, and CUDA for high-performance computing.
Experience with Jupyter Notebooks for research and data analysis.
Demonstrated ability to develop complex libraries and software for scientific applications.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are heavily focused on academic and research-oriented scientific computing, primarily in quantum chemistry and physics. While demonstrating strong technical depth, the direct alignment with a typical 'Data Scientist' role in a business context is limited. The projects indicate a preference for deep technical problem-solving in a research setting rather than broad data science applications like machine learning, statistical modeling for business, or big data processing. This suggests a potential mismatch with a standard industry Data Scientist role, which often requires a broader application of data science techniques to business problems.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

detecting-llm-authorship

May 27, 2025 – June 27, 2025

detecting-llm-authorship — GitHub repository

View Project

cuGBasis

April 24, 2024 – Present

High performance CUDA/Python library for computing quantum chemistry density-based descriptors for larger systems using GPUs.

View Project

gsoc

July 28, 2021 – August 18, 2021

gsoc — GitHub repository

View Project

isosurface_triangulator

January 5, 2021 – January 5, 2021

isosurface_triangulator — GitHub repository

View Project

PyCI_old

November 8, 2019 – January 30, 2024

A flexible quantum chemistry CI library for Python 3.

View Project

PyQCodes

October 26, 2019 – January 22, 2020

Python-based software for investigating coherent information and optimization-based quantum error-correcting codes.

View Project

McMasterFinance

April 27, 2017 – April 27, 2017

This is used for the McMaster Finance Team. By James He and Ali Tehrani

View Project

fitting

May 21, 2015 – May 22, 2015

fitting — GitHub repository

View Project

Key Strengths

Strong background in scientific computing and numerical methods, particularly in quantum chemistry and physics.
Proficiency in Python, C++, and CUDA for high-performance computing.
Experience with Jupyter Notebooks for research and data analysis.
Demonstrated ability to develop complex libraries and software for scientific applications.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Ali-Tehrani

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit