Donna Maliakal, CSM

Analytics Professional | Product & User Insights | Helping Teams Make Smarter, Data-Driven Decisions

San Francisco Bay Area

About

I'm a Business Intelligence and Data Analytics professional with 3 years of experience transforming complex datasets into actionable insights that drive strategic decisions. My work spans industries—from civic tech and nonprofits to entertainment and finance. I've built scalable dashboards, automated workflows, and led data-driven initiatives that improved efficiency, engagement, and compliance. I specialize in tools like SQL, Python, R, Tableau, Power BI, and Excel, and have hands-on experience with platforms like Oracle EBS, Informatica, Snowflake, and Azure. Whether it's building predictive models, designing ETL pipelines, or leading cross-functional teams, I thrive at the intersection of data, strategy, and impact. I'm passionate about using data to solve real-world problems and am actively seeking opportunities in product analytics, BI, or data science at mission-driven tech companies.

Experience

  • Data Analyst at City of Modesto
    Apr 2024 - Present · 2 yrs 3 mos

  • Chief Information Officer at Seed Consulting Group
    Sep 2023 - Present · 2 yrs 10 mos

    Consulting a sustainability-focused organization in marketing strategies, strategy development, and technical operations.

  • Student Data Analyst at Anaheim Ducks
    Jan 2023 - Jun 2023 · 6 mos

    Customer Churn, Trend Analysis, Predict Analytics, Logistic Regression, Customer Segmentation

  • Software Engineer (Data Analytics) at Bank of America
    Jul 2021 - Jul 2022 · 1 yr 1 mo

    Built data pipelines with Informatica and executed Spark queries using several stage and core tables stored in data warehouses containing more than 1 million data.

  • Data Analyst Intern at SpiderG
    Jul 2020 - Oct 2020 · 4 mos

    Analysed customer and payments data and collaborated with frontend developers to enhance features of SpiderG, a payment collection application, using Javascript and PostgreSQL.