At NewJobs.ai, I translated stakeholder requirements into recurring leadership reports and built Power BI and Excel dashboards to track learner progress across eight cohorts. Drop-off analysis helped prioritize outreach to at-risk cohorts.
I automated data cleaning and transformation for datasets of about 50,000 rows using Python and Excel, cutting report preparation time by 30%. Earlier, as a Data Analyst Intern at NewJobs.ai, I standardized data for analyst projects and built summary sheets and charts that reduced report turnaround by about 40%.
For the ULD Movement Advisor capstone with HACTL and CUHK Business Analytics, I analyzed dwell times and retrieval sequences across about 360,000 records and documented findings as business requirements. I also worked on a recommendation system combining Generative AI, prompt engineering, regression, and other statistical models, and applied RAG to ground recommendations in operational records and standard operating procedures.
In my self-directed GTM Signal-to-Outreach Pipeline project, I built a six-stage n8n pipeline that qualifies SaaS leads, enriches company data, routes leads by fit, and sends Slack alerts on failed runs. I designed the scoring rubric and traced silent data loss by reconciling execution logs with sheet output.
