Leonardo Dwigantoro Email
Leonardo Dwigantoro
Results-driven project management professional with an IT background, experienced in leading complex technical projects from planning to completion while ensuring compliance with quality, HSE, and contractual standards. Expertise in strategic planning, risk management, to drive successful, high-impact energy system projects.
Resume
Work Experience

Project Planning & Controlling Analyst

Tower Bersama Group

July 2024 - Current

Managed and reported project performance to the Board, covering financials, schedules, and quality. Led planning and risk management for 10,000+ km infrastructure projects, achieving 99% on-time completion. Ensured 100% compliance with ISO 27001 and HSE. Developed an AI tool, improving construction quality detection by 30%.

TBIG Leader Development Trainee

Tower Bersama Group

July 2023 - July 2024

Optimized operations across directorates. Liaised with 6 vendor teams, ensuring 95% SLA adherence for 700+ critical asset services. Reduced fiber optic repair time by 700 hours. Enhanced data governance and automated manual data checks with 100% accuracy.

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.