Welcome to my github profile!
I'm Bima, a junior data scientist from 
I'm passionate about data science, python, and machine learning.
Feel free to explore my repositories and projects below!
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| 🎁 Projects | 📃 Description |
| Nusacular | This project aims to develop a system capable of detecting regional languages or dialects from text. We will collect a dataset containing text in various regional languages or dialects and train machine learning models to recognize and classify them. |
| One Piece Character Classifier using Transfer Learning | This project implements a character classifier for the popular anime One Piece using transfer learning techniques. The classifier can identify 18 different characters from the series with high accuracy. |
| 8 Ball Pool Sentiment Analysis | This project aims to classify the sentiment (negative, neutral, positive) of 8 Ball Pool game reviews on the Play Store. |
| WasteTrack Chatbot | The project is a chatbot implemented using Flask and Python, incorporating a pre-trained model. The chatbot is designed to interact with users, analyze their input, and generate relevant responses using the trained model. |
| WasteTrack YOLO | The waste classification project is designed to classify waste items as either organic or inorganic using the YOLO (You Only Look Once) object detection algorithm. The project is implemented in Python and utilizes the Flask web framework to create a user-friendly interface for users to interact with. |
| WasteTrack Time-Series | The WasteTrack Time-Series project is a web application developed to track and visualize waste production over time. It uses Flask, a Python web framework, to build the backend server and provides a user-friendly interface to interact with the waste data. |
| Heart Failure Prediction | This repository focuses on predicting heart failure using the Hungarian dataset, employing machine learning techniques. Moreover, the model is deployed on Streamlit for easy user interaction. |
| Tesla Stock Prediction using LSTM | This project utilizes a Long Short-Term Memory (LSTM) model to predict Tesla (TSLA) stock prices based on historical data. The dataset contains daily stock prices and trading volume from Yahoo Finance, and the project aims to model the future prices using deep learning techniques. |
| Sentiment Analysis of Presidential Debate 2024 | This repository contains a sentiment analysis of the 2024 Indonesian presidential debate (debat capres). The approach used includes several stages, ranging from data scraping, data processing, to machine learning modeling. |
| Prediction of Indonesia's Non-Oil and Gas Export Revenue using Time Series with Vector Autoregressive (VAR) | This project aims to predict Indonesia's revenue and provide recommendations for non-oil and gas export commodities in 2024 using time series with Vector Autoregressive (VAR). The project is part of the Gemastik 2023 event. |
| Healthkathon 2.0 BPJS Kesehatan | A team project that aims to provide insights into the health data of BPJS Kesehatan members. The project focuses on analyzing the data to identify patterns and trends that can be used to improve the quality of healthcare services provided by BPJS Kesehatan. |
| Fresh or Stale Detection | This repository contains a Fresh or Stale Detection application that uses the K-Nearest Neighbors (KNN) algorithm to classify fruits and vegetables. |
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| 🎁 Projects | 📃 Description |
| Annual People Analytics Report | As a People Analytics Associate at The Bloom Company, it is my responsibility to assess the effectiveness of our employee retention and hiring initiatives. In our Annual People Analytics Report for 2011, we aim to provide comprehensive insights on the success of our efforts over the past two years (2010-2011). This includes evaluating the impact of new tenure-based reward programs, analyzing historical data for more accurate manpower planning, and assessing the inclusivity of our hiring practices in terms of age and gender distributions. Our objective is to determine whether these initiatives have achieved the desired outcomes and inform future decision-making strategies. |
| Cost Effectiveness Analysis of Employee Payroll Scheme | As a Data Analyst at The Bloom Company, I am tasked with assessing the cost-effectiveness of our current payroll scheme for Bloomers. With over 35,000 users and 1,400 Bloomers, our fast-growing SaaS company operates across multiple cities in Indonesia. In our 7th year, I am working closely with the management team to analyze the salary per hour for Bloomers in each office branch, considering the number of employees per month. This analysis will help us make informed decisions about our payroll allocation and ensure a fair and efficient compensation system. |
| Demand Trend Analysis and Transaction Conversion Rate for Providing Better Customer Satisfaction | Never Forget Company is a prominent B2B Marketplace Platform in Indonesia, connecting buyers and sellers in various industries. Never Forget Company needs several metrics and analysis that will be used to measure their transaction performance. This repository contains insights and solutions for Never Forget Company, following the instructions given. |
| Indonesian Severe Food and Undernourishment Population | My project focuses on the Indonesian Severe Food and Undernourishment Population, utilizing the analysis of data from the World Development Indicators (WDI) specifically related to the healthcare sector between 2015 and 2019. The objective of this project is to examine the prevalence of severe food insecurity and undernourishment in Indonesia during this time period and gain insights into the challenges faced by the population in accessing adequate nutrition. |
| MyAnimeList Text Mining and Analysis | This repository contains a text mining and analysis project focused on the anime titled "Jujutsu Kaisen." The primary goal of this project is to analyze and gain insights from user reviews on MyAnimeList (MAL) related to "Jujutsu Kaisen". |
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| 🎁 Projects | 📃 Description |
| MyAnimeList Scraper | This is a Scrapy project that is designed to scrape the top anime from MyAnimeList. The scraper extracts anime titles, scores, episode count, aired dates, and user counts. |
| Webpage Screenshot App | Simple webpage screenshot app built with streamlit, and selenium. |
| Telegram Spotify Bio | Update your bio with the song you're listening to on spotify! |
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| 🎁 Projects | 📃 Description | 🌐 Link |
| SiDrone Web | The SiDrone website is designed for a business that specializes in efficient and cost-effective land spraying using drone technology. It showcases the benefits of using drones for agricultural purposes and provides information on the services offered by SiDrone. The website also includes features such as a contact form for inquiries and a gallery to showcase successful projects and drone technology in action. | link |
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| 🎁 Projects | 📃 Description |
| BASH Travel | A desktop application for managing travel bookings. This application is built using Java and MySQL for the database. |
| Bima Book Store | A desktop application for managing a bookstore. This application is built using Java and MySQL for the database. |
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| 🎁 Projects | 📃 Description |
| GoWisata Semarang | A mobile application for exploring tourist attractions in Semarang. This application is built using Java. |
| Bima Education | Bima Education is a comprehensive learning platform that provides resources and tutorials for programming languages such as Python, C++, and more. This application is built using Java. |
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