Hello,

I’M BRYAN TJANDRA

Data Scientist & Analyst
Enthusiast

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About Me

Data Scientist & Analyst

Bryan Tjandra is a 3rd-year computer science student with a solid background in Data Analysis & Data Science. With over 2.5 years of hands-on experience, Bryan has utilized various methods to tackle diverse challenges spanning text, images, and tabular data. Notably, Bryan has interned at Xeratic and Hukumonline, and also contributed to improving the Transjakarta bus system. So far, Bryan has won 11 national-scale data competitions, including 8 gold medals. Recognized as the 3rd Most Outstanding Student, Bryan maintains a 3.98 cGPA while leading prominent student organizations like Compfest and RISTEK, demonstrating remarkable leadership competence.

Languages and Tools that I've used and learned

Python SQL Tableau Pandas Numpy TensorFlow PyTorch OpenCV Scikit-Learn Excel Jupyter Google Data Studio Keras

My Experiences

Data Scientist Intern

Direktorat Jenderal Pendidikan Tinggi, Riset dan Teknologi Kemdikbudristek

Feb 2024 - Present

Jakarta, Indonesia

- Contributed to the development and helpdesk services for PDDikti through utilizing Artificial Intelligence.

Data Scientist

PT Transportasi Jakarta (Transjakarta) - Contract

Sep 2023 - Present

Jakarta, Indonesia

- Developed and implemented a real-time Estimated Time Arrival (ETA) system for Transjakarta buses by integrating Artificial Intelligence (AI) technology.

- Evaluated the system's scalability and performance, achieving a low average error rate of less than 30 seconds.

Data Scientist Intern

Hukumonline.com

Sep 2023 - Dec 2023

Jakarta, Indonesia

- Developed an end to end legal document parsing system encompassing text extraction, format restructuring, and JSON parsing.

- Report directly to the CTO and senior data scientists.

Teaching Assistant

Faculty of Computer Science, Universitas Indonesia

Jan 2022 - Jun 2024

Depok, Indonesia

Teaching Assistant

Jan 2022 - Jun 2024

- [Spring 2024] Artificial Intelligence & Data Science (International Class), CSGE603130 - [Fall 2023] Data Structures & Algorithms, CSGE602040 - [Fall 2023] Statistics & Probability, CSGE602013 - [Spring 2023] Database, CSGE602070 - [Fall 2022] Teaching Assistant of Linear Algebra, CSGE602012 - [Spring 2022] Calculus 1, IKI10041 - [Spring 2022] Discrete Mathematics 1, CSGE601010

Coordinator of Teaching Assistant

Jul 2022 - Dec 2022

- [Fall 2022] Coordinated 10 teaching assistants in helping students and managed to achieve 93.3% graduates from 314 students in Linear Algebra, CSGE602012

Data Ops Intern

Xeratic

Sep 2022 - Jan 2023

Jakarta, Indonesia

- Intensively two months of training and assessment for the external project involvement selection

- Selected as an internal team for collaborative projects with external Great Giant Foods (GGF) corporation

- Build and evaluate end-to-end in a total of 24 dashboards to monitor farming development

My Achievements

Gold Medals8 Gold
Silver Medals1 Silver
Bronze Medals2 Bronze
Other Achievements2 Others
Achievement 1 Image

1st Winner of Big Data Challenge, Satria Data 2023

Pusat Prestasi Nasional - Aug 2023

Achieving the 1st rank by surpassing over 209 teams from 50 universities by developing a system to detect license plates under clear, blurry, and dark images. We also created a Legal Textual Entailment (LTE) system to test the alignment of legal documents. The contribution of this research covers the LTE system and a dataset named LawID

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Achievement 1 Image

1st Winner of JOINTS Data Competition, JOINTS 2023

Universitas Gadjah Mada - May 2023

Achieved first place by employing a holistic approach to "Developing an Ensemble Model for Earthquake Damage Classification" and "Utilizing CNN Method with Skip Connections for Fire Detection in Images." Outperformed over 230 participants in the competition from 20 national universities.

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Achievement 1 Image

1st Winner of Datavidia, Arkavidia 8.0

Institut Teknologi Bandung - Feb 2023

Accomplished successful implementation of a cutting-edge rainfall forecasting system and early warning earthquake detection, resulting in outperforming 136 teams. My team developed a system that significantly enhanced the ability to detect seismic activity, providing the vital prediction of magnitude, location, total damage, and tsunami

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My Projects

Project 1 Image

Legislative Document Alignment Test with Legal Textual Entailment

Mar 2024

Introducing an AI-based Legal Textual Entailment system to test and ensure the harmony of legal clauses, aiming to aid policymakers and streamline the legislative process.This innovation led us to be featured in various media coverage and invited to various law firms, startups, state agencies, and ministry.

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Project 1 Image

PilgrimPal: Umrah AI Companion App

Feb 2024

PilgrimPal is an AI-based mobile application that aims to help pilgrims with their activities related to Umrah. This app contributes to helping pilgrims communicate, informing them of crowdedness in an area, and identifying their future needs. Our two main features are live CCTV crowd detection and AI chatbot assistance.

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Pantau Jalan: AI-Based System for Prioritizing Road Damage

Oct 2023

Pantau Jalan is an AI-based system for prioritizing road damage through social media reports and app inputs. It features location detection, decision-making on actionability, damage estimation, and priority determination to aid government responses for better road infrastructure in Indonesia.

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