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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
agentic-ai-essentials-cert-project
January 7, 2026 – Present
Retrieval-Augmented Generation assistant with vector search and multi-LLM support for intelligent document Q&A
View Projectimage_based_classroom_attendance_app
January 10, 2025 – January 12, 2025
A class attendance system called ECNG Class Attendance comprising of an Android app, Windows app and web server. It uses face detection and face recognition for recording the attendance.
View Projectassemblyai_challenge
November 24, 2024 – January 1, 2025
This Speech-to-Text application offers a range of features including the ability to transcribe spoken words into written text, detect multiple speakers within an audio file and transcribe what each speaker said, summarize the audio content with key takeaways, and export the results.
View Projectspi-argentina
October 9, 2024 – December 4, 2025
Código de SPI Argentina, un sistema de inteligencia artificial que con datos satelitales de la red Copernicus genera índices de probabilidad de incendios forestales.
View Projectfrontend-mentor-challenge-calculator-app
February 17, 2024 – March 10, 2024
Frontend mentor challenge
View Projecttime-tracking-application
January 6, 2024 – February 20, 2024
Task and time management app with Taipy
View Projectstreamlit-movie-info
November 16, 2023 – November 28, 2023
This app finds movies using Streamlit and OMDb API.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and demonstrate a strong interest in exploring various technologies, including AI/ML, web development, and mobile applications. This indicates a self-starter mentality and a drive for continuous learning. However, the lack of professional experience or team projects makes it difficult to assess cultural fit in a collaborative work environment. The project diversity is good, but the direct alignment with a senior Data Scientist role is moderate, as many projects are more application-focused rather than deep data analysis or model development.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.