Ramanda Portfolios

Get to know me

About Me

Dea Ramanda

I'm a data enthusiast with a background in computer science. I love uncovering patterns in data, building predictive models, and communicating insights through compelling visualizations. Currently exploring bussiness analysis.

📍 Location / Timezone

Jakarta, Indonesia

UTC +7 · WIB

🛠 Stack & Tools

Python Pandas NumPy Scikit-Learn TensorFlow PyTorch Keras SQL PostgreSQL Tableau Streamlit Git Jupyter Google Colab

🛹 Design & other

Figma Webflow Farmer Adobe Ilustrator Inkscape

What I love (In case we shared the same things)

📖 Reading a book (Find my goodreads below)

✍️ Writing on Blog

🎻 Listening Classical Music (Dm me for good recommendation)

What I've built

Projects

🌍 Data Visualization

Sales Market Dashboard

An interactive Business Intelligence dashboard to analyze sales performance, customer behavior, and product insights.

Python Streamlit Plotly Pandas

🏥 Computer Vision

Tumbler Classifier

A computer vision model using MobileNetV2 transfer learning that achieved 96% accuracy in classifying reusable vs non-reusable drink containers, deployed publicly on Hugging Face for real-world testing.

TensorFlow Transfer Learning MobileNetV2 HuggingFace

🏥 Computer Vision

Sign Language Real Time Detection

A real-time sign language recognition system trained on a custom SIBI video dataset, achieving 93% accuracy using deep learning and computer vision techniques to support inclusive communication.

TensorFlow Transfer Learning MobileNetV2 HuggingFace

🛒 Recommender System

E-Commerce Recommender

A Neural Collaborative Filtering-based recommendation system that achieved 87% accuracy in predicting user preferences, generating personalized content recommendations based on interaction patterns.

CNN Surprise Spark Redis

My journey

Professional & Program Experience

July 2025 – Oct 2025

Workflow Administrator

Sinarmas Distribusi Nusantara · Contract

Managed and verified store order data using Unilever Sales & Distribution (S&D) system and ensured data accuracy through validation and workflow monitoring processes.

Feb 2025 – July 2025

Fullstack Developer Cohort

DBS Coding Camp · Internship

Developed Single Page Applications (SPA) and Progressive Web Apps (PWA) with modular architecture using Webpack also designed and implemented responsive UI using Tailwind CSS and JavaScript.

View Credential

Feb 2024 – July 2024

Fullstack Developer Cohort

DBS Coding Camp · Internship

Built and optimized machine learning models using TensorFlow and Scikit-learn for recommendation and classification tasks and developed end-to-end ML workflows from preprocessing to inference-ready models.

View Credential

Let's work together

Contact

Find me on

📬 Direct Email

iamadnamar@gmail.com

I typically respond within 24–48 hours.