{"data":{"jobs":{"edges":[{"node":{"frontmatter":{"title":"Software Engineering Intern","company":"Clerkie.io","location":"San Francisco","range":"Aug 2024 - Jul 2025","url":"https://www.getfiber.ai/"},"html":"<ul>\n<li>Developed and deployed a mission-critical Debt Recovery CRM and Payment Portal with Node.js and MongoDB, enabling agencies to manage over $1B in debt portfolios.</li>\n<li>Implemented compliance automation (statute of limitations logic) to ensure regulatory adherence for enterprise clients including Verizon and Wells Fargo.</li>\n<li>Engineered secure wire transfer pipelines with JPMorgan Chase for ACH transactions, ensuring reliability and timeliness.</li>\n<li>Optimized large-scale data processing workflows, cutting report generation time by 73% and scaling systems to tens of millions of transactions.</li>\n<li>Integrated enterprise-grade payment gateways (Payscout, Repay, etc.), boosting on-time payments by 31% and expanding revenue collection.</li>\n<li>Improved job success rate from 80% to 99.9% by implementing retries with exponential backoff, and dead-letter queues in Redis/BullMQ.</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Data Analytics Engineering Intern","company":"ShopBack","location":"Singapore","range":"Jan 2024 - Jun 2024","url":"https://www.shopback.sg/"},"html":"<ul>\n<li>Designed and managed end-to-end ETL pipelines using Apache Airflow, Spark, and dbt, MySQL, improving reliability and reducing manual intervention by 40%.</li>\n<li>Developed first Geospatial BI system using Python, MySQL, and ML algorithms, enabling zonal-level scaling and improving resource allocation efficiency by 80%.</li>\n<li>Optimized data models with dbt and SparkSQL, improving query performance by 30% and boosting analytics accuracy.</li>\n<li>Executed zero-downtime migration of 56M+ records, ensuring seamless data integrity and system continuity.</li>\n</ul>"}},{"node":{"frontmatter":{"title":"Data Analyst Intern","company":"Quest","location":"Singapore","range":"Jun 2023 - Sep 2023","url":"https://quest-inc.co/"},"html":"<ul>\n<li>\n<p>Boosted average monthly lead generation numbers by 5 times by developing and implementing web-scraping tools using Python and Selenium.</p>\n</li>\n<li>\n<p>Wrote SQL queries for a PostgreSQL database to ingest and integrate data from multiple sources, including Google BigQuery and Retool.</p>\n</li>\n<li>\n<p>Streamlined data visualization workflows by developing and refining data pipelines using Python data processing libraries like Pandas, saving over 15 hours per week.</p>\n</li>\n<li>\n<p>Achieved steady growth in MAU by 140% and DAU by 120% through data-driven approaches and user engagement strategies.</p>\n</li>\n<li>\n<p>Developed, refined, and maintained Tableau dashboards, providing weekly analysis of key metrics and business performance indicators.</p>\n</li>\n</ul>"}}]}}}