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Tehila D.
Bio
A quick learner, with a high work ethic and self-discipline, with excellent time management and organizational skills. Thorough, responsible and adaptable to challenges. Works well in a team and collaboratively, under pressure, and has analytical skills and a big head.
Skills
Python
PostgreSQL
Kafka
MinIO
MQTT
Docker
Grafana
Prometheus
FastAPI
PyQt6
noVNC
Bootcamp Project
Sound - Cloud-based platform for agricultural data management and analytics
Mentored by: Vast Data
Data Science Bootcamp 2025 (Data)
Responsibilities:
Developed MQTT integration, including Mosquitto configuration, reliable connectivity, topic filtering, and message ingestion into Kafka.
implemented MinIO bucket-notification workflows enabling event-driven routing of uploaded imagery and audio to ingestion services.
built a Python-based GUI environment inside Docker using noVNC, including system views, operational tools, and data-visualization panels.
Research: Audio Playback Integration – Investigating options for implementing audio streaming and playback inside the GUI, including understanding current platform limitations (e.g., noVNC audio constraints) and exploring alternative solutions.
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Additional Projects
2024-2025 | Musical Performance Accuracy Detection System (Final Project)
A system that detects inaccuracies in a user’s musical performance compared to a reference melody.
Full development of the signal-processing pipeline in MATLAB (noise filtering, frequency extraction, note detection) after self-learning the language, along with the creation of a React interface enabling audio upload, recording, and analysis.
English Level
Working Proficiency