Portfolio
iPhone Price Predictor
Predict iPhone Price using Regression Model Machine Learning, Deployed with Flask and HTML
Fraud Detector using Autoencoder Neural Network (Tensorflow)
Detect Anomalies or Potential Fraud Transactions from Data and give output, which one transactions is fraud and normal
Tutorial using STADATA Package BPS
Giving Instructions How to Use STADATA Package from BPS Indonesia from the start until downloading Data using Python API
How to Prepare Yourself as a Company Owner in Facing an FDA Recall (R lang)
This project entails a comprehensive exploratory data analysis (EDA) of FDA recall patterns. By analyzing which months experience the highest recall frequencies and employing keyword extraction techniques, including unigrams and bigrams, we pinpoint the top 10 reasons for product recalls. Additionally, we visually represent the distribution of product types subject to recalls. This data-driven approach equips companies with actionable insights, enabling them to proactively prepare for potential recalls and safeguard their products.
Know Your Electric Vehicle (Tableau Dashboard)
I've developed an interactive Tableau dashboard showcasing essential details about electric vehicles (EVs) meeting American standards. Derived from data.gov, this visualization tool offers concise information on EVs that align with U.S. requirements, serving as a valuable resource for American consumers.
ZKSync Era Analytics Dashboard (SQL)
Displaying the average user deposit per day, the total value moved to Zksync Era per day along with the cumulative value, the total count of successful transactions per day, and the average gas cost used for bridging to ZkSync Era, filtered by day and hour