Anisha Pai

Data Scientist

Anisha

Anisha Pai (she/they) is a Data Scientist with expertise in cybersecurity and marketing. They hold a Master of Science in Computer Science from the University of Massachusetts Amherst and a BA in Computer Science from Mount Holyoke College. At MassMutual, Anisha has experience building machine learning pipelines from conception to deployment, including experiment design, feature engineering, optimization, and explainable results. She primarily works in Python, R, and SQL, and uses Jenkins, Git and Docker. Anisha is skilled at ML modeling and engineering, in addition to statistical methods, data analysis, data manipulation and visualization.

By centering stakeholder satisfaction while prioritizing resource constraints, Anisha drives risk aversion and new business KPIs. They worked closely with security analysts to create an in-house cybersecurity model suite using core statistical methods and refined feature engineering. This involved extensive experimentation and iteration, resulting in large vendor cost savings. Since transitioning into marketing, Anisha has delivered consistent value through optimizing the deployment of a variety of data science solutions, including machine learning model suites, generative AI-based virtual assistants, and optimized databases. These solutions target advisor and end-user satisfaction. Anisha emphasizes fair modeling practices and works to balance feature and model-based bias using disparate impact analyses and model monitoring frameworks.

She holds a keen passion for using data science towards social good and has worked with racial and gender-based non-profits to understand and optimize data, and data policy. Notably, with Parivar Bay Area, they designed the first trans immigrant survey in San Francisco and contributed to a California-wide data collection bill that expands gender options on government forms.