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Software Developer • Computer Scientist • ICPC World Finalist
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
volvo-cars
Data Scientist
June 22, 2026 – Present
cses-problemset-python-solutions
April 17, 2023 – April 18, 2023
Solutions in Python for the CSES problemset
View Projecta-problem-solving-oriented-approach
April 8, 2023 – April 17, 2023
Code examples used for A Tale of Interviews: A Collaborative Approach to Problem-Solving
View Projectstress-tester
February 19, 2023 – March 19, 2023
Project to stress-test solutions against randomly-generated input.
View Projectcompetitive-programming-archive
January 30, 2022 – February 5, 2023
Solutions to problems from online competitive programming contests.
View Projectdata-structures-for-teaching
July 15, 2021 – Present
Implementations of some Data Structures and Algorithms, with different approaches and some practical applications.
View Projectgame-of-life
July 15, 2021 – March 5, 2023
Visual Representation of a Game of Life simulation.
View Projectteam-reference
July 11, 2021 – June 29, 2022
Team reference used for competitive programming contests.
View Projectcodeforces-gym-submissions
July 7, 2021 – June 30, 2022
Submissions from my participations in Codeforces's gym contests.
View Projecttext-summarizer
November 22, 2019 – November 10, 2022
A deep learning solution to the problem of automatic summarization of texts
View ProjectCultural Fit Analysis
The candidate's project history is heavily skewed towards competitive programming and personal projects, with a recent entry into a Data Scientist role at Volvo Cars. While the projects demonstrate strong problem-solving abilities, there is limited evidence of collaborative team projects or contributions to larger, production-grade systems. The target role is Data Scientist, and while some projects align (text-summarizer, fuzzy-logic), the majority are algorithmic/competitive programming focused. This suggests a potential fit for roles requiring strong algorithmic foundations but less direct evidence for broader data science lifecycle experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, and no interview data is available.