Data Analyst with experience in SQL, Python, Tableau, Power BI, ETL data pipelines, reporting dashboards, and data visualization. Experienced in data mining, data architecture, data schema modeling, automation, product m…
Data Analyst with experience in SQL, Python, Tableau, Power BI, ETL data pipelines, reporting dashboards, and data visualization. Experienced in data mining, data architecture, data schema modeling, automation, product management, project management, and cross-functional collaboration across operations, business development, manufacturing, IT, supply chain, and finance.
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Architected and designed wireframes in Figma.
Wrote specs for a data intelligence and search product.
Designed and oversaw development of an advanced search product using semantic search and image captioning.
Designed orchestration of data pipelines and APIs for an enterprise-grade scraping network.
Managed a team of 3 developers.
Held agile sprints.
Approved code.
Led versioning and deployment of code and database from test to prod builds.
Developed 10+ software applications, mostly business productivity software.
Developed a consumer-grade CRM software for job seekers.
Developed a consumer-grade ticketing app with queuing, multi-users, automations, and reporting.
Developed an any-all scraper tool using ChatGPT and pandas in Python.
Cleansed, transformed, and aggregated large manufacturing datasets using SSMS and SQL stored procedures.
Merged data with SAP/ERP master records.
Automated ETL data pipelines with pyautogui.
Led digital transformation for the Blades department by developing a suite of Tableau dashboards.
Migrated 5 legacy Microsoft Access databases and converted them to SQL Data Warehouse and Power BI dashboard visualizations embedded in SharePoint.
Performed business analysis and tracked KPIs such as time spent, throughput, quality, waste, and bottlenecks.
Used Tableau and ad-hoc Excel to create and present PowerPoint presentations to stakeholders.
Helped advise stakeholders on manpower decisions and new initiatives.
Used regression in Python to create a statistical model to predict macro input/output scenarios.
Collaborated with IT to implement digital flows, suggest data governance, and validate data quality.
Researched, mapped, and documented processes using Visio.
Worked with Operations to come up with requirements and nonnegotiables.
Collaborated with manufacturing to finalize project implementation.
Trained non-technical personnel in custom SAP, Tableau, Power BI, and SharePoint Excel modules.
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