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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

SQL Generator With Gemini

Generate SQL queries automatically using Gemini, an AI-powered natural language processing tool, to streamline database interactions and improve query efficiency.

Gambar 2

Cat Expression Classification

Classify cat expressions (happy, angry, surprised) using transfer learning with MobileNetV2, and deploy the model via Streamlit for real-time predictions.

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

AHH Forecasting for Sidoarjo

The goal of this project is to forecast the life expectancy (AHH) for both genders in Sidoarjo using machine learning. The project focuses on building a forecasting model based on historical population data and key statistics.

Gambar 5

AI Resume Screening

Screen and match candidate resumes with job descriptions using AI-powered NLP and embeddings. Perform skill gap analysis and deploy via Streamlit for interactive analysis and chatbot-based insights.

Gambar 6

Agentic Video Summarizer

A Streamlit-based application that allows users to upload videos and receive AI-generated summaries with the help of Gemini (Google AI). It provides contextual summarization, answers user questions, and enriches insights with web searches using DuckDuckGo.

Contact Me