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Reswara Candrakanti

@reswaracandrakanti

I build partner-facing products using data, requirements, and cross-functional delivery.

Indonesia
Message

What I'm looking for

I'm looking to build user-centric products where I can turn data, feedback, and stakeholder needs into clear requirements, measurable improvements, and reliable cross-functional delivery.

At Tiket.com, I improve partner-facing accommodation products by turning stakeholder requirements, user feedback, and production issues into product specs, user stories, and shipped features. I redesigned post-booking payment error messaging to reduce Case-to-Book support cases by approximately 23% across 65,000+ partners, and built MM To Do scoring logic that increased property availability by 8% and competitiveness by 13%.

I've also delivered data-driven recommenders and A/B-tested initiatives that improved CTR, conversion, orders, engagement, and retention. With an Information Systems degree from ITB, SQL and API-integration foundations, and national hackathon and case-competition wins, I enjoy connecting user insight, documentation, and delivery across engineering, design, data, marketing, and operations.

Experience

Work history, roles, and key accomplishments

TI
Current

Associate Product Manager, Accommodation Extranet

Sep 2025 - Present (1 year)

Contribute across the product lifecycle for partner-facing products, including gathering requirements, writing specs, and coordinating delivery. Analyzed user feedback to redesign payment flow, cutting support cases by 23%, and built scoring logic for a workspace that improved property availability and competitiveness.

Education

Degrees, certifications, and relevant coursework

Bandung Institute of Technology logoBT

Bandung Institute of Technology

Bachelor of Science, Information Systems and Technology

2021 - 2025

Grade: 3.60/4.00

Pursued a Bachelor of Science in Information Systems and Technology, graduating with a GPA of 3.60/4.00. Completed a thesis on culture-aware engagement recognition using an ensemble time-series model.

Tech stack

Software and tools used professionally

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