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Hi there, i'm

Naufal Faiz

I am a data scientist committed to developing the understanding and application of data science in a variety of fields, with a focus on innovation and effective solutions.

Resume

About Me

Hello! i'am Naufal Faiz

An enthusiastic person in the field of data science, and machine learning engineer. I have expertise in analyzing data, building predictive models, and developing data-driven solutions. I have created several projects covering various aspects from machine learning to data analysis and databases. With great enthusiasm for exploring the latest technologies, i'am committed to providing valuable insights and innovative solutions to every challenge i face.

My Skills Set

Python

I use Python, a versatile programming language used for data analysis, artificial intelligence, and web development like streamlit.

SQL (Structured Query Language)

SQL, a popular programming language for managing and accessing relational databases, is essential for data analysis and manipulation.

Machine Learning

Machine learning is more than just API calls to scikit learn, it is used to identify patterns in data, make predictions, and make decisions.

LLM (Large Language Model)

I Used LLMs to build smart applications for tasks like text generation, sentiment analysis, and question answering, using tools such as LangChain and Streamlit.

NLP (Natural Language Processing)

NLP, a field in computer science that focuses on the interaction between computers and human language, is essential for the analysis and processing of text data.

Data Analytics

Data analytics, a process for manipulating data with the aim of finding useful information. Creating beautiful and engaging presentations is my favorite skill.

Latest Projects

Gambar 1

Agentic RAG with LlamaIndex

Developed an agentic multi-document RAG system with dynamic routing, query planning, iterative retrieval, and structured answer synthesis using LlamaIndex.

Gambar 2

End-to-End Hate Speech Classification

End-to-end pipeline for Indonesian abusive speech detection using Transformer-based models, from Hugging Face dataset ingestion and noise-robust training to a FastAPI + Tailwind web UI.

Gambar 3

End-to-End Fraud Detection MLOps

End-to-End Fraud Detection MLOps: Build an automated pipeline to detect fraudulent transactions using BigQuery, PostgreSQL, FastAPI, and Docker, ensuring efficient integration from data ingestion to deployment models.

Gambar 4

CRAG Policy QA UNESA

The goal of this project is to develop a QA system for UNESA Academic Policy using Corrective RAG. The project focuses on delivering accurate, evidence-based answers by refining retrieval mechanisms to minimize hallucinations.

Gambar 5

AI Job Matching & Skill Gap System

End-to-end AI system for resume screening and job matching, built with NLP, embeddings, Flask + Tailwind, and Streamlit Web UI.

Gambar 6

Job LinkedIn ETL with Airflow

Build automate LinkedIn job data processing using Apache Airflow. The project focuses on building a scalable ETL pipeline to extract, transform, and load job market insights into PostgreSQL.

Contact Me