Yassar Annabil - Data Science & AI Enthusiast

I'am Yassar Annabil

Computer Science Student & Data Enthusiast

Undergraduate student at BINUS University with a keen interest in Data Science and Artificial Intelligence

About Me

My Introduction

Hi, I’m Yassar Annabil, a 5th semester Computer Science student at Bina Nusantara University with a strong interest in Data Science and AI. I’ve developed my skills through various courses and projects, focusing on data analysis, machine learning, and programming with Python, R, SQL, and Java. I'm familiar with tools like Pandas, NumPy, Tableau, and TensorFlow, and passionate about using data to drive meaningful change. My goal is to further enhance my expertise and collaborate with others to create impactful solutions.

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Portfolio

Most recent work

ZOONOMIND - Early Detection Platform for Zoonotic Diseases

ZOONOMIND is an early detection platform for zoonotic diseases, designed to analyze and predict disease outbreaks using machine learning. By integrating real-time data from various sources, including environmental, animal, and human health data, ZOONOMIND tracks disease patterns and identifies high-risk areas. Currently focused on Dengue Fever, the system provides spatially mapped insights through GIS, enabling timely responses from health authorities.

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Analysis of Societal Occupation Shift in Response to AI Development

This research paper explores public sentiment on Twitter regarding the potential for AI to eliminate jobs. Using sentiment analysis, the study analyzes over 185 tweets to gauge the emotional tone surrounding AI’s impact on the future of work. The analysis revealed a predominant negative sentiment, indicating concerns about job displacement and the future of human roles in an increasingly automated world. Through data visualization, including bar plots and word clouds, the study highlights common fears and uncertainties tied to AI's role in society.

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Distribution of Social Assistance in Bandung City (2022) - Data Visualization with R

This project visualizes the distribution of social assistance across sub-districts in Bandung, focusing on poverty levels and the corresponding allocation of government aid. Using R, I conducted a comprehensive analysis of the city's poverty distribution in 2022, providing insights into economic disparities and how aid was distributed to address these disparities.

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Smart Library

A library management system built with Java and integrated with an advanced database. This solution streamlines the management of student, staff, book, and loan data, offering an efficient and user-friendly approach to library operations. Designed to optimize the library management experience, this smart system is a step towards modernizing traditional workflows.

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Nutrizen

A web application that estimates food nutrition through scanning and integrates external APIs. It incorporates gamification to encourage consistent calorie tracking and healthier eating habits. Built with Next.js, TypeScript, Tailwind CSS, PostgreSQL, and Prisma, Nutrizen offers a modern and interactive approach to nutritional management.

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Certification

My certification

Basic Python Programming & Python for Software Engineering

Learned Python programming language as a foundational tool for data processing, visualization, machine learning modeling, and data analysis. Gained practical skills in coding and applied Python in various real-world scenarios.

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Data Visualization & Data Wrangling

Developed skills in data processing, transformation, and analysis using Python libraries such as Pandas. Enhanced data storytelling through visualization techniques and created interactive dashboards using Tableau for actionable insights.

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Fundamentals of Deep Learning

Participated in a workshop covering the basics of deep learning, including neural network architectures, optimization techniques, and practical implementations for image processing and structured data. Applied concepts through hands-on activities to strengthen foundational knowledge in AI and machine learning.

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