My Resume

Data Analyst with 3+ years of experience specializing in process automation, business intelligence, and predictive analytics. Proven track record of translating complex data into actionable insights, saving over $150,000 in operational costs and increasing sales by 25% through data-driven strategies. Proficient in Python, SQL, Power BI, and developing end-to-end data solutions.

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Technical Skills

Programming & Databases

  • Python
  • SQL
  • R
  • SAS

BI, Visualization, & Analytics

  • Power BI
  • Tableau
  • DAX
  • Excel (Power Query)
  • NumPy
  • Pandas

Core Concepts

  • ETL Processes
  • Data Warehousing (OLAP/OLTP)
  • Data Modeling
  • Predictive Analytics

Work Experience

Data Analytics & Automation

Abbott Laboratories, Alameda, CA

April 2023 – Present

  • Engineered an in-house automated data integrity system, saving an estimated $100,000-$150,000 annually compared to outsourced solutions and retaining full customization control.
  • Spearheaded the development of a predictive analytics dashboard that optimized shipping routes and carrier selection, directly reducing carrier-related logistics costs by 12%.
  • Automated a 10-hour/week manual SAP data extraction process using Python scripts, reducing task completion time to minutes and achieving over 90% time savings.
  • Developed and deployed a Power BI application with advanced DAX-driven search capabilities, enabling finance and deployment teams to analyze carrier cost breakdowns and improve decision-making processes.

Business Analyst

Live Proxies, Remote

March 2020 – March 2023

  • Conducted advanced data analysis using SQL and Power BI to identify market trends and optimize marketing campaigns, resulting in a 25% increase in sales and improved customer retention.
  • Engineered optimized data warehousing solutions (OLTP/OLAP), reducing data preparation time by 50% and improving the accuracy and speed of financial reporting.
  • Architected and implemented robust ETL pipelines using SSIS to integrate disparate data sources into a central data warehouse, enabling BI reporting that uncovered new revenue streams.

Data Analyst

ENVENT Labs, Santa Barbara, CA

September 2021 – June 2022

  • Delivered compelling data-driven presentations to diverse stakeholders, contributing to a 20% increase in project funding.
  • Developed supervised and unsupervised machine learning models that predicted individual climate scores with 85% accuracy, providing actionable insights for strategic planning.
  • Analyzed over 2,500 complex datasets using statistical techniques to identify key demographic predictors of climate opinions, increasing analytical efficiency by 10%.

Education

Bachelor of Science in Statistics and Data Science

University of California Santa Barbara

September 2018 – June 2022

  • Honors: Dean's Honors List, NSF Central Coast Data Science Fellow ($5,000 Scholarship)