ISMAIL MASSERAN
Aspiring Data Scientist with a strong academic foundation and a passion for uncovering insights from data.
ABOUT ME
I'm ISMAIL, a data science student fueled by a passion for uncovering insights from data. While I'm still early in my journey, I possess a foundational understanding of Python, one of the most widely used programming languages in data science. I am familiar with libraries such as Pandas, Numpy, Seaborn, TensorFlow, and Matplotlib. I am eager to leverage this knowledge alongside my data analysis skills to contribute to impactful projects. Currently, I am working at MAXVEC as a Protege Programmer, where I primarily work on projects utilizing Laravel and Symfony. I am also responsible for maintaining the EKESAM system, ensuring its stability and performance. In my free time, I enjoy solving challenges on LeetCode, which helps me approach problems from different angles and refine my problem-solving skills.
Science Stream
- Achieved 7As, 1B, 2Cs, and 1D in my SPM exam.
Diploma in Computer Science
- Cumulative GPA: 3.76
- Awarded Anugerah Naib Canselor (ANC) for academic excellence
Internship
- Editing poster and videos for Hari Sukan Negara for PUSPANITA using Adobe Photoshop.
- Joined volunteer efforts for the School Aid Program 2021, ensuring timely delivery of supplies to schools, benefiting 1,000+ students and lighten the burden of children's schooling expenses borne by parents by 25%.
- Created montage video about Hari Sukan Negara for PUSPANITA.
Bachelor of Information Systems (Hons.) Intelligent Systems Engineering
- Cumulative GPA: 3.51
Internship
- Conducted data analysis and cleaning, reducing missing values by 40% using KNN imputer and linear interpolation.
- Compared ARIMA and LSTM models for energy usage forecasting, selecting LSTM for its superior accuracy.
Protege - Programmer
- Assisted in deploying the bioAims web application on a local server using Windows Server IIS, ensuring proper configuration and functionality.
- Gained proficiency in core Laravel concepts (Models, Views, Controllers).
- Maintained the EKESAM legacy system, ensuring stability and ongoing functionality.
- Optimized EKESAM dashboard loading times from 15 seconds to 2 seconds by integrating AJAX for improved performance.
PROJECTS
EKESAM is designed to enhance operational readiness by ensuring that critical military assets remain updated and readily available. The system provides decision-makers with actionable insights into resource statuses, fostering proactive management and strategic planning. EKESAM is a secure, internal system developed to streamline and manage the Kesam catalog for use by higher-ranking military personnel.
This bot allows you to upload files sent via Telegram directly to Amazon S3 storage. Simply send a file to the bot, and it will handle the upload to your S3 bucket, providing a secure and efficient way to manage your files in the cloud. Containerize the application using Docker and deploy it on Google Cloud Platform with Google Artifact Registry and Cloud Run. I apologize for not uploading any repositories in order to protect sensitive credential keys.
A personal portfolio website, built using Next.js! This site highlights my skills, showcases my projects, and features my achievements.
Discover my personal blog website, a space dedicated to sharing my thoughts, projects, and insights in technology, data science, and web development. Here, you'll find engaging articles, tutorials, and reflections on my journey, designed to inspire and inform fellow tech enthusiasts and learners. Join me in exploring the ever-evolving world of technology through my unique perspective! Built using Next.js.
This project used machine learning to determine if a website is safe. It found that deep learning models, especially Bi-LSTM, were most accurate at detecting phishing websites.
This project created a device that tracks things using GPS and sends their location via text messages. It uses sensors and a microcontroller to determine location and orientation. The device is useful for preventing theft.
Fuzzy logic can help doctors diagnose heart disease more accurately. It considers multiple factors, like heartbeats and medical history, to provide a better understanding of a patient's risk. This is especially helpful for people who might not have obvious symptoms.
AASS with Genetic Algorithm is a system that uses a computer program to figure out the best order and timing for planes to land at an airport. This helps to avoid delays and keep things safe.
Let's Connect
Excited to explore new opportunities—my inbox is always open for collaboration or the next big challenge!