Laras N

Tech & Data Enthusiast

Crafting smooth, reliable, and enjoyable digital experiences through tech innovation and data insights.

As a tech and data enthusiast with over 3 years of experience, I craft full-stack applications and create engaging data visualizations that drive insights. I love using modern web technologies and frameworks to build scalable solutions while automating processes to make life easier. Whether I am managing CI/CD pipelines or collaborating with agile teams, I am all about delivering quality software. Known for my innovative mindset and problem-solving skills, I thrive in both solo and team settings, always eager to tackle new challenges and learn along the way.

Interested in working together? Feel free to reach out to me!

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Experience

2022 - Present
Full Stack · Telkom DDB
Integrated multiple applications for large-scale ministry projects, developed dashboards for government entities, automated processes with PHP
- React.js
- Next.js
- Typescript
- HTML
- CSS
- PHP
- Python
- Metabase
- Looker Studio
- MySQL
2020 - 2021
Front End · Telkom DDB
Designed and developed the DTP Website and enhanced CMS Dashboards for government projects using CodeIgniter, while also building data visualizations with Tableau for governmental use
- HTML
- CSS
- PHP
- MySQL

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Projects

Scheduler Reminder via WhatsApp
Developed a scheduling program using Python and Google Apps Script to send automated reminders via WhatsApp, improving task management efficiency for users
Monitoring Dashboard with Looker Studio
Built a comprehensive monitoring dashboard using Looker Studio to visualize key metrics, enhancing data-driven decision-making for the organization
Transition Service Back Office
Website that designed to streamline the process of relocating residents to the new location. This feature allows back-office administrators to manage resident data and departure schedules, providing a dashboard with insights into users, housing details, and the status of the relocation process. The system automatically maps residents to available housing based on predefined allocation criteria.