Daniel Sitompul

Intro

I am an engineer, innovator, and entrepreneur passionate about shaping the future of technology for social impact. With a Master's in Development Engineering from UC Berkeley and a Bachelor's in Electrical Engineering from the Bandung Institute of Technology, I specialize in data analytics, machine learning, and sustainability. My work spans across sectors—leading emissions analytics at the International Council on Clean Transportation and conducting machine learning research at the Renewable and Appropriate Energy Laboratory (RAEL), UC Berkeley to detect generator use in health facilities in DR Congo. I bring over four years of industry experience from Telkom Indonesia, where I managed digital infrastructure deployment and data-driven telecom solutions.

Beyond my professional pursuits, I’m a dedicated musician and sports enthusiast, finding balance and creativity through rhythm and motion. Whether I'm building emissions models, designing user interfaces, or exploring new applications of AI, I aim to bridge technology and society. I’m always eager to connect with fellow changemakers and collaborators. Please find my contact information bellow.

• Linkedin
• Instagram
• GitHub

Portfolio

1. Mercy Corps Hackathon Winner

Developed by Daniel and Rashmi, graduate students at UC Berkeley, HACIT supports Mercy Corps in estimating total humanitarian aid delivery costs. The tool integrates transportation, supply, and staffing expenses using real-time data on distance, pricing, and exchange rates through API integration, enabling more accurate and efficient planning.

Check the project here: GitHub Mercy Corps Project

2. Generator Emission ML Modeling

This machine learning model is created to assess the use of machine learning to predict generator ussage within a time period. The data that we have is voltage and frequency (within a 2 minute period) from several locations in the healthcare facilities. This model has achieved more than 95% accuracy, precision, and recall for singular location.

Check the project here: GitHub Generator Machine Learning Emission Modeling

3. Private Jets Pollution

As an associate researcher in the International Council on Clean Transportation, I've worked on making the air and greenhouse gas pollution from private jets.

Check the project here:

Featured in: Washington Post , Safe Landing , ESG Post

4. Runway Edge Light Photometry

As student researcher in my Electrical Engineering undergraduate program in Bandung Institute of Technology, I did a research on runway edge light photometry. We created a new methodology to check runway edge light quality using drones. Check the 3 IEEE publications here:

5. Air Transport Emission Calculator

Calculates operational variables, comparing air taxi vehicles and ground transportation. It features sliders to customize variables such as fuel consumption, emissions, and more. As input, the application uses the Google Maps API to determine distances and travel times.

Check the project here: AirTransport Comparison Calculator

6. Amazon Data Science Analysis

This project explores the predictive potential of e-commerce review data by analyzing Amazon beauty product reviews (2004–2018). It employs machine learning to predict product ratings and builds a recommendation system to provide insights into customer preferences and product popularity.

Check the project here: AirTransport Comparison Calculator

Resume

Last updated: 28th June 2025

Contact

Shoot me a message here and I'll contact you:

• Linkedin
• Instagram
• GitHub

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