Projects
Explore my artificial intelligence models, statistics dashboards, web scraping pipelines, and automated business integrations.
15
Total Projects
15
Total Projects
12
Featured Works
12
Featured Works
68
Tech Tools Used
68
Tech Tools Used
CV Creator & AI Optimizer
Build a local-first CV optimization dashboard that utilizes LLMs to customize and align resumes with target job descriptions.
Route Efficiency Analysis & Visualization
Evaluate route efficiency, sales discipline, and recommend an optimal visit sequence to optimize logistics operations.
PPIC Demand & Production Validation Analysis
Evaluate the effectiveness of PPIC planning by comparing planned production with actual demand and output
Outlet Visit & Transaction Behavior Analysis
Analyze the impact of visit duration and frequency on outlet transactions and conversion into active outlets
Marketing Project & Showroom Analysis
Develop a dashboard to monitor marketing performance against KPI targets
Fuel Efficiency & Driver Behavior Analysis
Evaluate the impact of GPS implementation and SOP on fuel efficiency by comparing pre and post-installation performance
Promo Impact Analysis
Evaluate impact of promotion on customer behavior (before vs during promo) to optimize promo spent.
AI-Powered Tutoring Scheduler & Automation
Automate tutoring schedule management and session booking by integrating LLMs with workflow automation tools.
Electricity Load Forecasting using Hybrid SSA–Deep Learning
Developed an optimal Hybrid SSA–Deep Learning model by integrating SSA with LSTM, BiLSTM, and GRU architectures to improve short-term electricity load forecasting accuracy.
Skylearn: High School Feasibility Analysis System Based on Satellite Imagery
Research project integrating Machine Learning and Deep Learning to analyze school images, covering the entire pipeline from data scraping, image acquisition, and feature extraction to clustering, classification, and model deployment.
Laboratory Inventory Management System using Apps Script
Resolve laboratory inventory logging challenges by automating spreadsheets.
Comparison of LSTM, GRU, and CNN Models for Gold Price Forecasting
Compare LSTM, GRU, and CNN architectures to determine the most effective deep learning approach for gold price forecasting using historical market data from 2020–2024.
Comparative Study of LSTM-Based Models With Hyperparameter Optimization For Short-Term Electricity Load Forecasting
Develop and evaluate LSTM-based deep learning models to improve daily electricity load forecasting accuracy and support energy efficiency and power system management in the Central Java–Yogyakarta electricity network.
Scraping Application PIS-PK, Semarang City Health Office
Synchronize PIS-PK data and automate input for IKS calculation
Sentiment Analysis of Public Reactions to the 2024 Presidential Election Results on App X
Collect and analyze public comments regarding the 2024 presidential election results on Social Media X