Leonardo Dwigantoro
Tech-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

Presented project performance reports to BoD covering planning, completion, and quality metrics. Analyzed over 10,000+ km national deployment, resolving critical path issues to maintain 95% on-time completion. Developed and managed comprehensive project documentation, including system design, and technical reports. Reduced delays by 500+ hours by adopting agile project management methodologies and real-time progress tracking. Developed AI-powered tool to predict structural quality in construction, improving defect detection accuracy by 30%.

TBIG Leader Development Trainee

Tower Bersama Group

July 2023 - July 2024

Selected as trainee from over 13,000 applicants at a top telecom company with a 0.1% acceptance rate. Optimized operations across directorates, cutting lead times and boosting efficiency through improved methods and tools. Boosted data maturity by implementing an enterprise architecture framework, standardizing governance company-wide. Managed 6 vendor teams for 700+ critical assets, hitting 95% SLA via real-time monitoring and accountability systems.

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