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Evelyn M.

Evelyn M.


Data Analytics | San Francisco, California, United States

Professional Overview


Evelyn is a seasoned data analytics professional with a diverse background spanning data science, machine learning, and technical product management. As a Data Analytics Lead at Acorns, she leverages her expertise to drive data-driven decision-making and deliver impactful business solutions. Additionally, Evelyn actively contributes to the startup ecosystem as an Angel Investor, providing strategic guidance and financial support to promising ventures.

Experience Summary



Current Role


Data Analytics, Acorns (2018-07-01 to Present)
  • Oversees the development and implementation of advanced data analytics strategies to support Acorns' growth and operational efficiency

  • Leads a team of data analysts and engineers in designing and deploying innovative data solutions, including predictive models, data visualization dashboards, and automated reporting

  • Collaborates closely with cross-functional stakeholders to identify and address business challenges through the application of data-driven insights

  • Drives the company's data culture by promoting data literacy, fostering data-driven decision-making, and championing the strategic use of data assets


Angel Investor, Various Startups (2022-01-01 to Present)
  • Provides strategic guidance, financial investment, and hands-on support to early-stage startups with promising technologies and business models

  • Leverages industry expertise and network to identify and evaluate high-potential investment opportunities

  • Offers mentorship to founders, advising on product development, go-to-market strategies, and scaling operations


Career Progression


Data Science, IBM (2016-07-01 to 2018-07-01)
  • Developed and deployed advanced machine learning models to drive optimization and predict customer behavior for IBM's cloud-based services

  • Collaborated with cross-functional teams to identify and address complex business challenges through the application of data science techniques

  • Contributed to the enhancement of IBM's data analytics platforms and tools, improving efficiency and user experience


Machine Learning Competition, Kaggle (2015-08-01 to 2017-08-01)
  • Participated in and won several prestigious Kaggle competitions, showcasing expertise in designing and implementing state-of-the-art machine learning algorithms

  • Gained recognition within the data science community for innovative problem-solving and model development approaches


Technical Product Management, Atlassian (2013-01-01 to 2014-01-01)
  • Bridged the gap between technical and business teams, translating user requirements into product roadmaps and feature specifications

  • Drove the development and launch of new software products, ensuring alignment with customer needs and market trends


Academic Background


Evelyn holds a Master of Science degree in Data Science from the University of California, Berkeley, where she specialized in machine learning and artificial intelligence. She is also a graduate of the University of Pennsylvania, earning a Bachelor of Science in Computer Science with a minor in Business Administration.

Areas of Expertise


  • Advanced data analytics and business intelligence

  • Machine learning model development and deployment

  • Predictive modeling and forecasting

  • Data visualization and dashboard creation

  • Agile product management and software development

  • Startup investment and advisory


Professional Impact


  • Spearheaded the implementation of a data-driven decision-making framework at Acorns, resulting in a 25% increase in operational efficiency and a 15% improvement in customer retention

  • Developed and deployed a predictive churn model that enabled Acorns to proactively identify and engage high-risk customers, leading to a 20% reduction in attrition

  • Served as a technical advisor to a Kaggle competition-winning team, contributing to the development of a novel anomaly detection algorithm that has been widely adopted in the industry

  • Provided strategic guidance and a $500,000 investment to a fintech startup, which subsequently secured Series A funding and expanded its customer base by 40% within the first year


Conclusion


With a wealth of experience in data analytics, machine learning, and startup investment, Evelyn is a versatile and highly sought-after professional. She is passionate about leveraging data-driven insights to drive business growth and innovation, with a proven track record of delivering transformative solutions. Evelyn's unique blend of technical expertise and strategic acumen positions her as a valuable asset in any organization or investment portfolio.