At Engineer Access, I manage ELT/ETL pipelines and have resolved 300+ technical incidents through exploratory data analysis and storytelling. I also support data quality by configuring system parameters for business logic and API key generation.
At Engineer Access, I’ve provided technical project management and stakeholder reporting across 50+ integration and legacy migration projects. I documented processes and technical solutions using Salesforce, Jira, and Confluence.
At Papaya Tutor, I delivered 6+ weekly KPI reports with trend analysis and executive summaries for external stakeholders. I also automated operational bottlenecks with Google Apps Script workflows and supported data quality governance and discrepancy detection.
In an independent project, I built Python-based ELT pipelines to extract and integrate 23 years of water-level data from the DAHITI API, then applied Markov chain modeling. I also developed a hospital discharge prediction system using a random forest classifier and deployed it as a Streamlit web app.
