Leonardo Dwigantoro Email
Leonardo Dwigantoro
Computer Science graduate from Universitas Padjadjaran with experience in project management, software engineering, and automation. Proven ability to deliver impactful solutions through strategic thinking and advanced technical skills.
Resume
Work Experience

Project Planning & Controlling Analyst

Tower Bersama Group

July 2024 - Current

Presented fiber optic performance reports to the BoD, ensuring 99% on-time completion for 10,000+ km of national deployment. Achieved 100% ISO 27001 compliance through rigorous audits and cut delays by 500+ hours via agile methodologies. Developed an AI tool boosting construction defect detection by 30%.

TBIG Leader Development Trainee

Tower Bersama Group

July 2023 - July 2024

Selected through 0.1% acceptance rate as trainee at top telecom company. Optimized operations to reduce lead times and improve efficiency. Enhanced data governance through enterprise architecture implementation. Managed 6 vendor teams maintaining 700+ critical assets with 95% SLA compliance. Developed OpenCV-based validation tool with 100% accuracy. Reduced fiber optic repair time by 700 hours using geospatial optimization techniques.

Software Engineer Intern

Tower Bersama Group

January 2023 - June 2023

Developed Python RPA solution to automate IT ticket creation, cutting processing time by 30%. Designed real-time ASP.NET dashboard to monitor IT department productivity and work progress.

Robotic Process Automation Intern

Telkomsel

February 2022 - June 2022

Spearheaded automation initiatives by identifying high-impact opportunities and optimizing workflows, reducing operational inefficiencies. Developed UiPath RPA solution for HR onboarding, cutting manual workload by 70% and saving 200+ hours monthly.

University Projects
PadjadjaranMart
E-commerce for Unpad Academics. Built with RESTFul APIs that allowed users to purchase products.
PadjadjaranHub
Social media for Unpad student. Working as back-end dev to created APIs and managed database.
Penguin Prediction Web
End-to-end machine learning web app to predicts the species of penguins using random forest algorithms.