About Me
Hello, my name is Lintang Cahyaningtyas and people usually call me Lintang. I graduated from Universitas Islam Indonesia with a degree in Statistics and graduated with cum laude distinction. I have a strong interest in data analysis, visualization, and basic machine learning. I possess skills in various data analysis techniques and tools such as Excel, basic Python, R, Google Data Studio, XAMPP, phpMyAdmin, and Tableau.
My experiences at Badan Pusat Statistik, Bankaltimtara, PLN Indonesia Power, and INVISIO, along with my involvement in research, internships, and organizations, have strengthened both my technical and collaborative skills. I am a detail-oriented, responsible, and adaptive individual who is able to work independently as well as in a team.
Experience
Professional journey and internship experiences
Badan Pusat Statistik
Statistician Intern
- • Collected, cleaned, and analyzed statistical distribution indicator data.
- • Developed web-based automation systems to improve work efficiency.
- • Created statistical infographics to support publication activities.
- • Managed administrative documents and company directory data.
PLN Indonesia Power
Reliability & System Owner Intern
- • Analyzed Unit 7 disturbance and pulverizer maintenance data using Excel and R.
- • Prepared evaluation reports for system reliability improvement.
- • Participated in occupational health and safety socialization programs.
INVISIO
Marketing & Content Writer
- • Developed content strategies and educational statistical materials.
- • Collaborated with design teams to create engaging publications.
- • Analyzed social media engagement performance monthly.
Bankaltimtara
IT & E-Banking Intern
- • Assisted customer service activities related to ATM services.
- • Helped improve customer satisfaction through responsive problem handling.
- • Supported ATM card destruction and banking administration processes.
Projects
Selected projects and portfolio works
CTA Website
Dec 2025 - Jan 2026
Developed a Python (Flask)-based commodity tabulation automation (CTA) website to display commodity and inflation data for East Kalimantan Province in a structured and real-time format. Integrated Excel data processing, automatic uploads/downloads using OpenPyXL, report formatting, and dynamic data visualization features.
BRS Automation Website
Jan 2026 - May 2026
Built a Flask-based automation system for Official Statistics News (BRS) publication covering Inflation, Tourism, NTP, and Transportation. Developed interactive DataTables, automated statistical calculations, reporting layouts, debugging systems, and publication-ready dashboards.
Final Research Project
Dec 2024 - May 2025
Conducted sentiment analysis on Sunscreen product reviews using IndoBERT and Latent Dirichlet Allocation (LDA). Performed preprocessing, labeling, topic modeling, and performance evaluation to identify customer perceptions and review themes.
Gold Price Forecasting ARIMA
Dec 2023 - Jan 2024
Developed forecasting models using ARIMA, SARIMA, and Hybrid Decomposition ARIMA methods to predict 20-karat gold prices. Compared model performance using RMSE and MAPE metrics to determine the most accurate forecasting model.
Crime Clustering K-Means
Dec 2023 - Jan 2024
Analyzed village-level crime data in Indonesia using the K-Means Clustering method. Determined the optimal number of clusters, interpreted clustering results, and developed visualizations to support data-driven decision making.
SPP Mobile Application
Jan 2021 - Apr 2021
Designed and developed a simple Android application using Android Studio as a final vocational high school project. Created user-friendly UI/UX interfaces, implemented student data input, payment recording, notification systems, and performed functionality testing to ensure stable application performance.
Medium Articles
Thoughts, insights, and data stories
Database in RDBMS
Understand the basic concepts of relational databases, tables, normalization, and SQL implementation.
Provincial Clustering Based on Types of Natural Disasters
Clustering analysis using K-Means to group provinces based on the dominant type of disaster.
Consumer Behavior Using MBA Association Rule Mining
Implement Market Basket Analysis to identify purchasing patterns of products frequently purchased together.
Toronto BikeShare User Data Analysis
Exploratory data analysis and visualization of BikeShare Toronto users to understand bicycle usage patterns.
Certifications
Professional courses and achievement certifications
Contact Me
Interested in working together? Fill out the form below.