About
Data scientist with a background in industrial engineering at Universitas Islam Indonesia, Department of Industrial Engineering, I am passionate about leveraging data to generate actionable business insights. With a strong foundation in emerging technologies and a focus on Industry 4.0, I specialize in developing predictive models and solving complex problems through data analysis and machine learning.
I have already put my skills to use by participating in solving problem on Kaggle, where I have gained experience in problem-solving and data analysis. Additionally, I have had the opportunity to work on real-world problems during an internship with CoXplore Vietnam, where I was a member of their AI team working on a text generator project.
My research interests are primarily focused on the implementation of Artificial Intelligence in various fields and industries, with a particular interest in applications in agriculture and healthcare. I am determined to be a great craftsman in this field, constantly honing my skills and staying up to date in these areas and am open to collaborating with others to explore new opportunities and ideas.
In my free time, I enjoy camping, BBQ and anime. I have interest in entertainment as well as I am a fan of anime. And if there's one thing I'm truly a pro at, it's Googling my way out of a coding problem. Trust me, Google + Stack Overflow is all you need.
I'm always open to connecting and collaborating, Hope we can craft some cool stuff together also you can reach me out at
Bimakasaa [at] gmail [dot] com.
Resume
Education
Bachelor of Industrial Engineering
Universitas Islam Indonesia, DIY, Indonesia
in the Industrial Engineering program at Universitas Islam Indonesia, I am learning about the design, improvement, and installation of technology in the industry, with a focus on project management, scheduling, production planning, supply chain, big data, and IoT. In addition to my coursework, I am actively involved in a variety of student activities, including the UASC electric vehicle research team, the Student Association, and social services as a marbot in a mosque. These extracurricular activities provide me with valuable hands-on experience and allow me to apply what I learn in the classroom to real-world situations.
MTA Senior Highschool
Surakarta, Central Java, Indonesia
Experience
Statistics and Bioinformatics Research Center,
Faculty of Mathematics and Natural Science UII
Researcher
Member of the Statistics and Bioinformatics Research Center at the Faculty of Mathematics and Natural Sciences, UII, I am part of a study center that specializes in the application of multidisciplinary sciences to solve problems across various fields. Our research center explores the integration of statistics, mathematics, computer science, biology, chemistry, physics, medicine, and information technology to specifically address issues related to human, animal, and plant health, as well as biodiversity in the areas of food, agriculture, and forestry.
CO-EXPLORE,
Internships
vietnam
As an intern with CO-XPLORE, I am gaining valuable experience with a leading remote management service provider, officially established in Vietnam in 2019 and funded by the Ministry of Science & Technology in 2020. Through this internship, I am not only gaining hands-on experience in AI and programming skills, but also have the opportunity to specifically learn about cutting-edge technologies such as deep learning and natural language processing. Additionally, I am also developing text generator and expand my knowledge in chat bot generator development. With the guidance of experienced mentors, I am looking forward to gaining valuable skills and knowledge that will help me in my future career.
Ulil Albab Study Center,
Mechanic,
Electrical Vehicle
Universitas Islam Indonesia, DIY, Indonesia
- Build a Electric Vehicle as a mechanic in UASC Team
- KMLI Competition in Bandung.
Community of international student,
Member
Universitas Islam Indonesia, DIY, Indonesia
- Secretary in NICS National industrial competition and seminars
Al-Jihad Mosque
Marbot
Providing assistance to anyone who needs it. It's a community service that I am doing to help the mosque run well and also to help people have a good time in the mosque.
Publications
Journal
Albara Bimakasa,Asmawi Gunawan, & Rohmatul Fajriyah
Bulletin of Monetary Economics and Banking (BMEB).Link
Analysis of Portfolio Formation on LQ45 Stocks Index Using the Markowitz and Single Index Models
Projects
Below are some of the projects I have done and currently working on, either individual project from kaggle or as research student.
Analysis of the Grouping of Provinces in Indonesia Based on Health Indicators before and after the pandemic
In this study, the authors want to know the health conditions of the Indonesian people and the grouping of provinces that can be formed based on health aspects between before and after the pandemic.
Crop recommendation system based on environmental data.
Indonesia is an agricultural country with the majority of the Indonesian population being farmers. Climate change will threaten the crop production system resulting in instability of crop yields. The purpose of this research is to create an algorithm that can be used to recommend plants based on environmental data that will have an impact on the stability of crop yields.
Undergraduate Thesis
Clinical decision support system (CDSS) development using the Hybrid Recommender system method. Our aim is to explore the potential benefits of a hybrid recommender system for clinical decision support that combines different types of recommendation algorithms in terms of improving hospital performance and benefiting doctors, hospitals, and patients.
Text Generator Deployment
Students can learn about AI and programming skills in NLP.
- Planning & Data Collection (Mining corpus text).
- Design & Training AI model (N-Grams and BI-LSTM).
- Deployment (FLASK API).
Predicting Customer Subscription using Logistic Regression
This is a model to predict which customers need some advertising, such as discounts, to make them subscribe to the premium features. The approach used is logistic regression, and the dataset used for training and testing the model is [insert name of dataset]. The performance metrics used to evaluate the model's performance are [insert performance metrics].
! please click the title for documentation.
Fraud Detection Using ANN
This project has an objective to help credit card companies to detect customers who have the potential to commit fraud. The method used is an artificial neural network and under sampling technique.
! please click the title for documentation.
Student Creativity Week
Team leader in PKM project. This is project are programme for student by ministry of educational and cultural of indonesia.
National Industrial Competition 2019
This is competition that provides by industrial engineering department. My role in This project as secretary.