About

About

About Me

๐Ÿ‘‹ Hello, Iโ€™m A. Tasdik Bijaksana

Iโ€™m an Information Systems student at Universitas Hasanuddin with a strong passion for Data Science, Machine Learning Engineering, and Deep Learning. Currently exploring these exciting fields to continuously develop my technical skills and practical understanding of AI/ML applications.

๐ŸŽ“ Education & Background

Information Systems Student - Universitas Hasanuddin

  • Currently pursuing undergraduate degree in Information Systems
  • Self-learning Data Science and Machine Learning through hands-on projects
  • Active in exploring AI/ML technologies and their real-world applications
  • Building practical experience through collaborative projects and research

๏ฟฝ Areas of Interest

๐Ÿค– Data Science & Analytics

  • Data Processing: Learning data cleaning, preprocessing, and feature engineering
  • Statistical Analysis: Understanding patterns and insights from data
  • Visualization: Creating meaningful visual representations of data
  • Tools: Python, Pandas, NumPy, Matplotlib, Seaborn

๐Ÿง  Machine Learning & Deep Learning

  • Traditional ML: Exploring classification, regression, and clustering algorithms
  • Deep Learning: Understanding neural networks, CNN, LSTM architectures
  • Computer Vision: Image classification and medical image analysis projects
  • Frameworks: TensorFlow, Keras, PyTorch, Scikit-learn

๐ŸŒ Data Engineering & Automation

  • Web Scraping: Automated data collection using Selenium and BeautifulSoup
  • Database Management: SQL for data storage and retrieval
  • Version Control: Git and GitHub for project management

๐Ÿš€ Technical Skills (Learning & Developing)

Programming Languages

  • Python: Primary language for data science and ML projects
  • SQL: Database querying and data manipulation
  • JavaScript: Basic web development and automation

Data Science Stack

  • Data Processing: Pandas, NumPy for data manipulation
  • Visualization: Matplotlib, Seaborn for creating charts and graphs
  • Machine Learning: Scikit-learn for traditional ML algorithms
  • Deep Learning: TensorFlow, Keras for neural network development

Tools & Technologies

  • Development: Jupyter Notebooks, Google Colab
  • Web Scraping: Selenium, BeautifulSoup for data collection
  • Version Control: Git, GitHub for code management
  • Documentation: Markdown, technical writing

๐Ÿ“š Learning Journey

Current Focus Areas

Iโ€™m actively developing my skills in:

  • Advanced ML Algorithms: Exploring different approaches to solve real-world problems
  • Deep Learning Applications: Understanding how neural networks can be applied to various domains
  • Data Engineering: Learning to build robust data pipelines and automation systems
  • Project Management: Developing leadership skills through collaborative projects

Hands-on Experience

Through various projects, Iโ€™ve gained practical experience in:

  • Medical Image Analysis: Working with COVID-19 detection using transfer learning
  • Time Series Forecasting: Exploring price prediction using LSTM and Graph Neural Networks
  • Web Scraping: Building automated data collection systems for government portals
  • Team Collaboration: Leading and coordinating multi-member project teams

๐ŸŽฏ Professional Development

Academic Approach

As a student, I believe in:

  • Learning by Doing: Applying theoretical knowledge through practical projects
  • Continuous Improvement: Always seeking to learn new techniques and technologies
  • Collaborative Learning: Working with peers to tackle complex problems
  • Research Mindset: Approaching problems with systematic methodology

Technical Growth

I focus on developing:

  • Problem-Solving Skills: Breaking down complex challenges into manageable components
  • Code Quality: Writing clean, documented, and reproducible code
  • Critical Thinking: Evaluating different approaches and their trade-offs
  • Communication: Effectively presenting technical concepts and results

๐ŸŒŸ What Drives Me

  • Curiosity: Genuine interest in understanding how AI/ML can solve real-world problems
  • Growth Mindset: Embracing challenges as opportunities to learn and improve
  • Collaboration: Believing that the best solutions come from teamwork and knowledge sharing
  • Impact: Aspiring to create meaningful applications that can benefit society
  • Continuous Learning: Staying updated with latest developments in the field

๏ฟฝ Current Goals

Short-term Objectives

  • Strengthen foundation in core ML/DL concepts and algorithms
  • Complete more hands-on projects across different domains
  • Improve programming and data engineering skills
  • Build a strong portfolio of practical applications

Long-term Aspirations

  • Develop expertise in specialized areas like Computer Vision or NLP
  • Contribute to open-source ML/AI projects
  • Pursue advanced studies or certifications in Data Science
  • Eventually work as a Machine Learning Engineer or Data Scientist

๐Ÿ“ซ Letโ€™s Connect

As a student passionate about Data Science and Machine Learning, Iโ€™m always eager to:

  • Learn from others in the AI/ML community
  • Collaborate on interesting projects that challenge my skills
  • Share knowledge and experiences with fellow learners
  • Discuss latest trends and developments in the field

Current Learning Focus:

  • Machine Learning Engineering best practices
  • Deep Learning
  • Data Engineering and MLOps

โ€œEvery expert was once a beginner. Every pro was once an amateur. Every icon was once an unknown.โ€ - Embracing the learning journey in Data Science and AI.