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Spotify
Data Scientist
June 26, 2026 – Present
roxmind
July 9, 2025 – July 17, 2025
🏋️♂️ An AI-powered analysis tool for Hyrox Open Division competitors. Combines clustering, performance benchmarking, and LLM-based personalized feedback to help athletes improve based on past races and peer comparisons.
View Projectmlops-llmops-lab
June 10, 2025 – June 15, 2025
Project for MLOps & LLMOps module – KeepCoding Full-Stack AI Bootcamp III. Automating, deploying, and managing ML/LLM workflows.
View Projecthyrox-performance-buddy
June 8, 2025 – June 8, 2025
An AI assistant that delivers personalized feedback for Hyrox race participants, helping them identify performance gaps and receive targeted coaching advice.
View Projectai-email-return-automation
May 10, 2025 – May 10, 2025
This project during the KeepCoding Full-Stack AI Bootcamp III, automates email responses for product return requests at a fictional company.
View Projectai-utils
April 10, 2025 – June 14, 2025
🧠 Collection of reusable utility functions and tools for AI
View Projectnlp-lab
April 8, 2025 – May 4, 2025
This repository contains the complete development of a Natural Language Processing (NLP) practice, carried out during the KeepCoding Full-Stack AI Bootcamp III.
View Projectdeep-learning-skin-diagnosis
March 24, 2025 – April 6, 2025
Deep learning project from the KeepCoding Full-Stack AI Bootcamp III for classifying skin lesions using the HAM10000 dataset. It combines dermatoscopic images and metadata to predict medical conditions using CNNs and tabular models.
View Projectreact-native-multipeer-connectivity
November 27, 2019 – January 5, 2023
This is a library that creates a React Native module exposing Multipeer Connectivity from iOS
View Projectreact-native-alert-library
November 19, 2019 – January 5, 2023
react-native-alert-library — GitHub repository
View ProjectTMDb-React-Native
October 7, 2018 – October 7, 2018
React-Native app based on the TMDb API
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in AI/ML, which aligns well with a Data Scientist role. The projects are diverse in application (e.g., sports analytics, email automation, medical diagnosis), indicating adaptability. However, the candidate's experience level is listed as 0, and the only listed experience is a future role at Spotify, which makes it difficult to assess cultural fit based on past professional interactions. The projects are all personal, which, while demonstrating initiative, doesn't provide insight into collaborative work environments.
Soft Skills & Operational Fit
The candidate's project descriptions suggest an ability to work on diverse problems and a proactive approach to learning new technologies. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like logical reasoning, work attitude, stress handling, or team collaboration.