An inspired data scientist and data enthusiast with experience in analyzing data sets and delivering insights to drive business decisions. My expertise includes data visualization, statistical analysis, and machine learning. My project is mainly related to industries such as finance and e-commerce. I am proficient in programming languages such as Python and R. Check out my portfolio for examples of my work, including data visualizations, predictive models, and data-driven recommendations. If you're interested in working with me, please don't hesitate to contact me.
Working for a private tutoring which involves direct communication with a few of people range from grade school to high school. Teach physics and mathematics at a beginner level.
Delegate the drafting and negotiation of contracts and equipment rental with other professional that involve in various events. Facilitated the event organizing team.
Interning as a data analyst at Pharos Indonesia, a pharmaceutical company, provided an enriching immersion into the intricate world of drug and medicine sales data analysis.I learned to navigate complex databases and employ advanced analytical tools to extract meaningful information.
This project aims to investigate which forecasting methods produce a better result for predicting time series based on fewer forecast error. This is done because not many papers cover the prediction performance between traditional model and machine learning model. The prediction model uses statistical models such as ARIMA and machine learning models such as LSTM
This project develop a sentiment analysis system using a Naive Bayes classifier. The system takes textual input and determines whether the sentiment expressed is negative, positive, or neutral. But it doesn't stop there. The system goes beyond sentiment analysis and offers additional insights.
Cloud Broker is a project that provides a platform for customers to purchase and manage their own servers and databases, which can then be hosted on their preferred cloud provider. The project utilizes MySQL to handle the data management and transactions involved in the process.
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This project aims to explore and compare the performance of various machine learning models in predicting employee burnout rates based on certain factors. The dataset used in this project consists of various factors such as age, gender, work experience, and other variables that are believed to be related to employee burnout.
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"Game Review" is a mobile application that provides a platform for gamers to share their thoughts and opinions about their favorite video games. The app allows users to browse a database of games and read reviews from other gamers
"Airline Train Service" is a train service website developed using Laravel, a PHP framework. Our website offers a comprehensive and seamless experience for users seeking efficient and reliable train travel.
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This Tic Tac Toe game is implemented in Python with a Command Line Interface. It allows two players to take turns placing X's and O's on a 3x3 board until one player gets three in a row or the board is filled and the game ends in a draw.
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