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BBS Apps
Data Scientist
June 27, 2026 – Present
Pneumonia-Detection-XAI
January 18, 2026 – Present
This repository contains an end-to-end deep learning pipeline for detecting pneumonia from chest X-ray images. Key features include an optimized VGG16 architecture, handling of imbalanced medical data, and Explainable AI (XAI) integration using Grad-CAM to visualize diagnostic regions. Achieved 99.74% Recall to ensure clinical reliability.
View ProjectIntroduction-to-programming-2023-2024
September 26, 2023 – January 19, 2024
Materials from Introduction to programming in FMI 2023-2024
View ProjectFlirtter
August 31, 2022 – August 31, 2022
No swiping or filling out questionnaires. Not just another dating app. It's Flirtter! Lean back, relax and just watch. Flirtter does the rest for you!
View ProjectMovieStreamingApp
January 31, 2022 – February 15, 2022
A Movie Streaming App created with Jetpack Compose
View ProjectForgottenFilmsApi
January 24, 2022 – July 7, 2022
ForgottenFilms Api is a REST API for watching films from the public domain
View ProjectNoteAppJetpackCompose
August 11, 2021 – August 13, 2021
A note app created with Jetpack Compose
View ProjectSpotifyUiJetpackCompose
May 22, 2021 – May 22, 2021
Recreation of Spotify UI with Jetpack Compose
View ProjectMyNoteTakingApp
October 29, 2020 – December 26, 2020
Note-taking app with MVVM, Live Data, Room Database
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on mobile application development (Kotlin, Jetpack Compose) and some foundational programming (C++, JavaScript, TypeScript). While there is one significant data science project ('Pneumonia-Detection-XAI'), the overall diversity of projects leans heavily towards front-end/mobile development rather than a consistent focus on data science, which might indicate a broader interest or a recent pivot. The current role as a Data Scientist aligns well, but the project history suggests a less direct path to a dedicated Data Scientist role.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. Project descriptions are concise, but no direct evidence of collaboration, problem-solving approach, or communication style is available.