Mahmud Allahverdiyev

Data Scientist

https://talent.gravityer.com/mahmud-allahverdiyev

GermanyMember since June 19, 2026

Key Strengths

Strong foundational knowledge in algorithms and data structures, evidenced by numerous competitive programming projects (Project-Euler, SPOJ, AlgorithmLibrary, All-about-trees).
Proficiency in C++ and Python, with exposure to Java, Cuda, and Shell scripting.
Experience with numerical methods and high-performance computing (HPC-2019, tensor-network-algorithm).
Familiarity with machine learning concepts, specifically Neural Decision Trees and Count-Min-Sketch.
Demonstrated ability to implement complex algorithms from scratch (hillmapper, C-Big-Integer-Library).

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong inclination towards problem-solving, competitive programming, and academic exploration. The projects are primarily personal and technical, suggesting a self-driven individual. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit within a collaborative work environment. The projects align well with a technically challenging role like Data Scientist, especially those involving algorithm optimization and numerical methods.

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

hillmapper

July 13, 2025 – July 24, 2025

Moderately-optimized hill climbing algorithm implementation to solve the scanset matching optimization problem relevant for Redbench.

View Project

HPC-2019

April 18, 2019 – May 18, 2019

Materials of High Performance Computing course by Sergey Rykovanov

View Project

Project-Euler

April 15, 2019 – April 15, 2019

Project-Euler — GitHub repository

View Project

Neural-Decision-Trees

February 21, 2019 – March 23, 2019

Neural Decision Trees

View Project

Count-Min-Sketch

January 14, 2019 – April 22, 2019

Count-Min-Sketch — GitHub repository

View Project

tensor-network-algorithm

December 6, 2018 – December 23, 2018

Project for Numerical Linear Algebra course

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C-Big-Integer-Library

October 29, 2018 – December 21, 2018

C++ Big Integer library for programming contests and projects

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AlgorithmLibrary

April 4, 2018 – January 31, 2019

AlgorithmLibrary — GitHub repository

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All-about-trees

October 9, 2017 – March 26, 2019

Implementation of various types of trees in data structures

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SPOJ

March 20, 2017 – October 13, 2020

SPOJ solutions (user: mahmud2690)

View Project

Key Strengths

Strong foundational knowledge in algorithms and data structures, evidenced by numerous competitive programming projects (Project-Euler, SPOJ, AlgorithmLibrary, All-about-trees).
Proficiency in C++ and Python, with exposure to Java, Cuda, and Shell scripting.
Experience with numerical methods and high-performance computing (HPC-2019, tensor-network-algorithm).
Familiarity with machine learning concepts, specifically Neural Decision Trees and Count-Min-Sketch.
Demonstrated ability to implement complex algorithms from scratch (hillmapper, C-Big-Integer-Library).

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.

Mahmud Allahverdiyev

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit