I am a Data Analyst with experience in operational analytics, dashboard development, and reporting automation. I focus on turning data into practical insights that improve efficiency, accuracy, and decision-making.
I have worked on KPI monitoring, report standardization, and automation initiatives that reduced manual effort and improved response times. My background includes building Power BI dashboards, supporting analytics operations, and contributing to measurable performance gains in fast-paced environments.
I also have experience collaborating across teams and working in project-oriented settings. In addition to analytics, I have been involved in process improvement, training support, and coordination with stakeholders to keep work aligned with business goals.
More recently, I have expanded into automation and self-hosted infrastructure through my work as a Founder and Data/AI Automation Engineer. There I have built internal tools, executive dashboards, and operational systems using Python, Node.js, SQLite, PostgreSQL, Docker, Caddy, and Cloudflare Tunnel.
My technical toolkit includes SQL, Python, R, Power BI, Tableau, PostgreSQL, and advanced Excel, along with REST APIs and Docker. I enjoy combining analytics with automation to create reliable, scalable solutions.
I am based in Lima, Peru, and I am open to opportunities where I can contribute as a data professional, improve reporting and operations, and continue building impactful data-driven systems.
Built an executive dashboard using Python and ECharts connected to Lark Base. Built and deployed internal web tools and operational dashboards using Node.js, SQLite, and Python on a self-hosted VPS. Managed infrastructure including PostgreSQL, nightly backups, systemd services, Docker, Caddy, and Cloudflare Tunnel.
Developed Power BI dashboards that reduced daily KPI monitoring time by 40%. Delivered analytics and monitoring solutions that improved operational efficiency by 15% and report accuracy by 25%. Supported a training program that reduced onboarding time.
Automated progress reports in Power BI, reducing consolidation time from 2 days to 4 hours. Coordinated a cross-functional team of 8 using Kanban and KPI alerts, achieving 95% of milestones on time and on budget. Supported PMO activities with standardized processes and weekly meetings, reducing scope deviations by 20%.
Implemented KPI control and monitoring systems that improved effectiveness by 20%. Standardized and automated reporting, reducing response times by 15%. Increased query resolution rate by 20%.
Bachelor's Degree, Electronic Engineering
Bachelor's degree in Electronic Engineering.
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