Information Systems graduate with expertise in data analysis, machine learning, and development. Skilled in creating user-friendly systems, predictive models, and data visualizations to solve real-world problems. Passionate about leveraging technical skills to deliver impactful and efficient solutions.

• Designed a text classification machine learning model with 98% accuracy using Create ML on a dataset of 700,000 training instances and 120,000 testing instances.
• Developed and evaluated classification models using K-Nearest Neighbors (KNN) and Logistic Regression, achieving 75% accuracy with KNN and 72% accuracy with Logistic Regression.
• Conducted detailed exploratory analysis, identifying insights and patterns using Matplotlib, Seaborn, and Pandas.
• Designed and developed interactive dashboards in Looker Studio for supermarket and hotel reservation analysis, delivering key insights and visualizations.
• Applied data wrangling and EDA techniques to datasets ranging from 1,000 to 36,275 rows, handling missing values, duplicate records, and validating data formats.
• Calculated correlations using Pearson, Spearman, Point Biserial, Chi-Square with Cramér’s V, and Kendall Tau with SciPy and Scikit-learn.
• Provided insights and actionable recommendations on employee retention, supermarket sales, and student performance to drive data-informed decision-making.

• Proficient in SwiftUI for building user-friendly interfaces.
• Planned and designed the interface of an iOS app following Apple's Human Interface Guidelines (HIG) using Figma and SwiftUI.
• Implemented local storage solutions using SwiftData for efficient data management.
• Integrated user feedback through in-depth interviews to enhance app functionality and user experience.
• Performed comprehensive literature reviews via ScienceDirect and Google Scholar to inform app development decisions.

• Web Developer for the Furniture Design Bali Project Management Information System:
  • Built a project management website to digitize operational activities, achieving a UMUX score of 79.16, reflecting a high usability level.
  • Developed a dashboard for the business owner to monitor profits by category, project statuses, material inventory, and deadlines using Laravel and Bootstrap.
  • Created a robust relational database schema with Laravel and SQL to support system functionality.
  • Implemented CRUD operations for seven business operation features, streamlining processes and enhancing user efficiency.
• Skilled in Laravel with MVC architecture for full-stack development, handling both front-end and back-end development tasks.

• 🔗 App Development Portfolio: Explore the apps and website I’ve built, from research tools to functional web and iOS solutions.

Data Analysis Portofolio:

• Supermarket Sales Data Analysis Portfolio 🛒📊

I analyzed sales data to uncover insights for business success:

• 🔧 Data Wrangling: Handled missing values, verified formats, and removed outliers.

• 📊 EDA: Explored branch performance, customer segmentation, product trends, peak hours, ratings, and payment preferences.

• 🚀 Result: 6 key insights and recommendations to enhance supermarket owner knowledge and customer satisfaction!

• Developed an interactive Tableau dashboard featuring 5 graphs and 3 filters to monitor product quantity sold, gross income, product ratings, branch ratings, and payment methods.

• 🚀 Employee Data Analysis Portfolio

Explored employee retention analysis uncovering trends in attrition, tenure, education, and benching. Built predictive models (KNN: 75%, Logistic Regression: 72%) to identify attrition factors. Key insights: Master's holders face challenges, experienced employees seek growth, and benching affects Payment Tier 3. Recommendations include retention strategies, upskilling, and bench optimization.

• 📚 Student Performance Analysis

This project dives into student performance data to uncover what drives academic excellence! Through rigorous data cleaning, correlation analysis (Pearson, Spearman, Point Biserial), and trend exploration, I revealed key factors like study hours, teacher quality, and extracurricular impact. ✨ Highlights:

• Discovered how attendance, tutoring, and activities shape success.
• Delivered 5 actionable insights and recommendations to boost student outcomes.
• Developed an interactive Tableau dashboard with 5 graphs and filters, analyzing factors like teacher quality, student physical activity, motivation, learning abilities, internet access, sleep hours, study hours, and tutoring sessions.

• ✉️ Email: ngrlearningjourney@gmail.com
• 🌍 Location: Indonesia