Michael Seidenberg

About Michael Seidenberg

I am a fast-learning, creative, and detail-oriented Data/Business Analyst with a solid quantitative, organizational, and analytical skillset and extensive project management experience. With a highly methodical approach to working within large-scale structured and raw data sets, I can identify new patterns and useful trends. I skillfully assess complex programs and distills insights and value to stakeholders. I am resourceful, flexible, and motivated to embrace change, thrive in uncertain circumstances, and work well in team and autonomous environments. I am passionate about working in a data-driven culture with modern self-service data tools. 3+ years of experience using modern tools for data wrangling, reporting, and visualization Specialized in Solar & Energy: commercial and residential applications as well as electrical and mechanical plans Experienced in Healthcare Analytics: simulation, optimization, and regression modelsCareer Highlights: Championed strategic planning, client relations, and project management for 100+ concurrent projects Managed, trained, and motivated teams of 8+ multi-site direct reports Helped improve NPS score by 15% within 6 months and streamlined project completion by 50% at Sungevity Built dashboards in a BI tool (Sisense) using custom SQL queries for Marketing, Sales, and Operations, which led to improved employee performance, reduced missed calls, and identified trends.Technical Skills:Python, SQL, Excel, Tableau, Salesforce, Git, Pandas, Matplotlib, NumPy, SQLAlchemy, Beautiful Soup, VBA, HTML5, CSS, JavaScript, D3.js, Plotly, Leaflet, Bootstrap, Sisense, Scikit-learn, SPSS, Google Suite, Microsoft Office Suite, Social Blade, Hootsuite, NodeXL, FollowerWonk, Meaning CloudI am a relationship builder and always looking to expand my professional network. I invite you to connect or reach out.

Experience

1. Healthcare Data Analyst

   Nuna Inc.

   Mar 2023 — Present · San Francisco, CA, US

   Data Analysis: Use data exploration, cleaning, and transformation to create business recommendations, which has helped improve the quality and accuracy of data. • Proof-of-Concept Analysis: Analyzed the viability of using software (Sisense) and proposed how it should and should not be used for Nuna.• Data Quality: Create, edit, and maintain data quality checks for various clients, which has led to improved data quality.

Education

• Pepperdine Graziadio Business School

  Master of Science - MS, Business Analytics

• University of California, Berkeley

  Bachelor of Arts - BA, Philosophy