Hello Everyone 👋, My Name is Pradipa Javier Fatah

As a Computer Science student at Binus University with over 1 year of experience exploring data science and analytics, I combine technical expertise with a strong passion for innovation. My journey includes managing projects as a Project Manager, developing user-centric solutions as a Front-End Developer, and completing certifications in data-related fields. By combining mathematics, IT, and business, I aim to drive impactful decision-making processes and develop solutions that address real-world challenges.

CV My Portofolio

My Skill

What skills do I have?

I am a person who has a passion in Front-End and Back-End Development, as well as UI/UX Research and Design, creating innovative responsive interfaces and managing systems with a user focus. Having project experience as a Data Analyst, I analyze complex data to provide strategic insights. Leadership skills, Teamwork, Problem Solving, and Critical Thinking abilities help me lead teams and solve problems effectively.

HTML5

CSS3

JavaScript

TailwindCSS

Figma

Python

Laravel

PHP

MySQL

Github

Git

VSCODE

Notion

Trello

Canva

Adobe PR

Tableau

Google Suite

Microsoft 365

Portofolio

New Project🔥

Some projects that I have created previously and are still in the development stage

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Software Engineering | Kawan Project:

HTML CSS Tailwind CSS Java Script Laravel php Figma

Kawan is a platform focused on mental health and self-development. Kawan offers services such as psychological consultations, courses, and educational content on mental health. Its goal is to help people gradually improve their quality of life. Kawan is known for its easy-to-understand approach, making it ideal for young people who want to better understand and manage their mental health.

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Data Analytics | Washington House Sales Dashboard:

Tableau Kaggle Excel

The Washington House Sales Dashboard, built using Tableau , is an interactive tool designed to analyze and visualize real estate data in Washington. It provides insights into sales trends, price distribution, and housing market dynamics, helping users make data-driven decisions.

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Data Analytics | Student Mental Health Analysis:

Google Collab Python Kaggle Excel

This project uses several machine learning algorithms to analyze and predict the level of depression in students based on the collected mental health data. The three models compared in this project are K-Nearest Neighbors (KNN), Logistic Regression, and Naive Bayes.

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Data Analytics | Sentiment Analysis on Banking Applications:

Google Collab Python Kaggle Excel

This project focuses on sentiment analysis of user reviews for various banking applications. By leveraging Natural Language Processing (NLP) techniques and Machine Learning models, it aims to classify and understand user sentiments, providing actionable insights to enhance application performance.