نبذة عني
Detail-oriented and analytical Computer Science Engineering graduate (2025) with hands-on experience in data analysis, visualization, and insight generation. Proficient in SQL, advanced Excel, Python (Pandas, NumPy) and …
Detail-oriented and analytical Computer Science Engineering graduate (2025) with hands-on experience in data analysis, visualization, and insight generation. Proficient in SQL, advanced Excel, Python (Pandas, NumPy) and Power BI, with a strong foundation in exploratory data analysis, statistical concepts, and data cleaning. Experienced in building dashboards, identifying trends, and translating business requirements into actionable insights through academic and project work. Possess strong problem-solving skills, attention to detail, and the ability to communicate findings effectively to technical and non-technical stakeholders. Eager to contribute to a data-driven organization and grow as a Data Analyst.
المشاريع
Asset Tracking and Tracing using ESP32
Developed a zone-based BLE (Bluetooth Low Energy) tracking system using ESP32 microcontrollers and BLE to monitor asset movement in real-time. A web application visualizes asset presence and supports zone assignment, alerts, and historical tracking. Technologies used: JavaScript, MongoDB.
Volume Vallet
Volume Remote Control App: Developed an Android app using Flutter to control PC volume over a local network. Implemented swipe and tap gestures for volume adjustment. Included one-tap mute/unmute and media playback controls. Technologies used: Flutter, Flask, Python.
Waste Classification App
This is an Android app that uses machine learning to classify images of waste into six categories: cardboard, glass, metal, paper, plastic, and trash. It was built using Flutter, a popular framework for building cross platform mobile apps. Technologies used: Flutter 2.0+, TensorFlow, InceptionV2 Model.