Hi there š, Iām Rizki Dinata, a passionate Data Scientist and Analyst with a strong foundation in engineering. I enjoy turning complex datasets into actionable insights that drive business decisions. Skilled in Python, SQL, Looker Studio, and Machine Learning š¤, I specialize in analyzing patterns, solving problems, and delivering strategic data solutions to achieve measurable growth.
Credit risk analysis is a crucial task in the financial sector, helping lenders and institutions assess the likelihood of loan repayment. This project demonstrates a data-driven approach to credit risk evaluation using machine learning techniques.
Developed an interactive dashboard based on COVID-19 data in Indonesia using Looker studio, integrating SQL in BigQuery to prepare, clean, and analyze data.
This project aim to analyze customer demographics, area code, states, and other features to predict customer will churn or not.
Data scraping using Selenium with Interactive chrome browser. This site contain dynamic html so using Selenium can be an alternative to data scraping.
We explore how to build a text classification model for the BBC News Archive dataset using a neural network. In this project, we demonstrate how to preprocess the data, build the model, and evaluate its performance.
This project demonstrates a deep learning approach to classify hand gestures for the game Rock-Paper-Scissors using TensorFlow.
