Data Freelancer Profile

Michela Tjan Sakti Effendie

Michela Tjan Sakti Effendie

I’m a Data Scientist, Machine Learning Engineer, and AI Engineer with a strong foundation in data analysis, predictive modeling, explainable AI, and generative AI. I specialize in turning complex datasets into actionable insights and building end-to-end data solutions that drive impact. With a background in AI Engineering and interdisciplinary research, I’ve worked on projects ranging from skin disease classification using Vision Transformers to interactive, storytelling-drive visualizations, and generative AI applications.

I’ve contributed to interdisciplinary research labs, built scalable ML prototypes, and translated research into engaging visual stories. Whether you’re looking to develop an AI-powered solution, create a compelling dashboard, or explore your data more deeply, I bring both technical skill and storytelling clarity.

Check out my portfolio: https://www.tjanmichela.com

And my blog: https://www.medium.com/@tjanmichela

Let’s build something impactful together.


Secondary Specialties Data Analysis & Insights, Data Cleaning & Preparation, Data Visualization & Storytelling
Core Languages JavaScript, Python, R, SQL
Data Engineering Skills AWS, Google BigQuery, Google Cloud, PostgreSQL
Data Analytics Skills Excel, GIS & Mapping, Google Sheets, Looker Studio, Power BI / Fabric, Spreadsheet Tools, Tableau
Data Science & ML Skills Databricks, DS Platforms & Notebooks, Google Colab, Jupyter Notebooks, Machine Learning Frameworks, NumPy, Pandas, PyTorch, scikit-learn, SciPy, Statistical & Scientific Computing, TensorFlow
Data Graphics & Design Skills Adobe Illustrator, Canva, D3.js, Data Visualization Tools, Design Tools, Figma, Flourish Studio, Observable, Procreate
Industry Experience E-commerce & Retail, Education & Research, Energy & Utilities, Healthcare & Life Sciences, Non-profit & NGOs, Technology & Software
Education
  • Master of Science in Data Science – University of Miami
  • Bachelor of Science in Interdisciplinary Studies (Marketing & Entrepreneurship) – Keiser University
Publications

M. Effendie and V. Aguiar-Pulido, “Multi-Modal AI Approach for Multi-Class Skin Disease Classification,” 2024 International Conference on Machine Learning and Applications (ICMLA), Miami, FL, USA, 2024, pp. 1588-1592, doi: 10.1109/ICMLA61862.2024.00245.

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