Igor Alekhnovych

Data Scientist

https://talent.gravityer.com/igor-alekhnovych

Software Engineer @ Ericsson

Ericsson

Key Strengths

Experience as a Data Scientist at Ericsson, indicating direct relevance to the target role.
Projects like 'MetaAutoML' suggest an interest in machine learning and automation, which aligns with data science.
Exposure to Python, a core language for data science, across multiple projects.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio is diverse, including web development, mobile development, and data science-related projects. However, the 'experienceLevel' is 0, which contradicts the listed 'Data Scientist' role at Ericsson. This discrepancy makes it difficult to accurately assess cultural fit and career stage alignment. The projects are primarily personal, which is common for early-career professionals.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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Assessing your cultural and operational fit

Projects

TodoList

December 15, 2022 – December 15, 2022

To-Do List with React

View Project

TankHunter

November 27, 2022 – April 3, 2023

Tank Hunter – Final Year Project

View Project

RichWebApplications_Lab2

November 6, 2022 – November 14, 2022

RichWebApplications_Lab2 — GitHub repository

View Project

TankHunterDesktop

November 6, 2022 – December 14, 2022

Advanced Web Mapping: Tank Hunter

View Project

RichWebApplications_Lab1

October 8, 2022 – October 16, 2022

RichWebApplications_Lab1 — GitHub repository

View Project

GlobalClassroomProject

March 22, 2022 – May 5, 2022

Global Classroom module project on the Wolfhound & Elk website

View Project

MetaAutoML

November 10, 2021 – Present

MetaAutoML — GitHub repository

View Project

FoodifyWebsite

June 18, 2021 – June 23, 2021

A website for foodify made with bootstrap

View Project

Key Strengths

Experience as a Data Scientist at Ericsson, indicating direct relevance to the target role.
Projects like 'MetaAutoML' suggest an interest in machine learning and automation, which aligns with data science.
Exposure to Python, a core language for data science, across multiple projects.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Igor Alekhnovych

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit