Empowering educators with a modern online course platform! This personal project leverages Next.js for an effective SSR and SSG framework, integrates the user-friendly design of Shacn-UI, and styles with Tailwind CSS for ultimate customization. Under the hood, Prisma and MySQL handle data management, Mux delivers smooth video streaming for a comprehensive learning environment, while Stripe ensures secure payment processing for seamless transactions.

This personal project builds a Discord-like chat application with a modern tech stack. The front-end utilizes Next.js for server-side rendering, Shadcn-UI for robust but customizable UI components, and Tailwind CSS for rapid styling. In the back-end side, Prisma acts as an ORM for interacting with a MySQL database, while Uploadthing handles image and PDF storage. Real-time chat functionality is achieved with Socket.io, and Livekit empowers audio and video call communication, offering a feature-rich communication experience.

Processing data by building a data pipeline using Azure data services such as Azure Data Factory, Azure Data Lake Gen 2, Azure Databricks, and Synapse Analytics warehouse. The loaded data in the Synapse Analytics warehouse then was exported as a csv file so it can be used as the data source to create the Power BI report and dashboard.

A simplified clone of Notion app with OpenAI's GPT and DALL-E APIs utilization. The DALL-E is used to automatically generate a thumbnail image of a note based on its title. On the other hand, the GPT 3.5 API is utilized to give auto-completion on the note. Other web technologies such as NextJs, Tailwind CSS, shad-cn, ClerkAuth, Prisma, and Postgres (Neon DB) are also used to build the app.

A twitter clone with basic features using the T3-Stack which consists of NextJs as the full-stack/meta framework, NextAuth.js for handling authentication and authorization, Prisma as the ORM to interact with MySQL database, Tailwind CSS for styling, and tRPC for type-safe API call.

A digital bookshelf that has basic CRUD operation to store books data with JWT authentication and RBAC (role-based access control) authorization is implemented . This app is built on top of technologies such as Node.js, TypeScript, Express, Passport.js, Prisma, MySQL, EJS, and Bootstrap CSS.

A Looker Studio dashboard based on Superstore sales csv dataset that uploaded directly to Looker Studio as data source.

Supervised classification machine-learning model to predict whether a customer will be churn or not based on the given telecom customer dataset using Python, Pandas, Scikit-Learn.

Visualization of the Indonesia Covid-19 data stored in BigQuery data warehouse using Looker Studio dashboard.