I’m a cognitive scientist turned data scientist and passionate about exploring of the relationship between data, connection, and human behavior, currently working as a Data Science Strategy Leader at Kimberly-Clark. My journey here has been fueled by a love for turning complex data into actionable insights, driving business growth and innovation.
At Kimberly-Clark, my work focuses on creating strategic data science plans and business cases to solve complex, high-value challenges. Daily, I collaborate with stakeholders to identify advanced data science possibilities, devise innovative models, and assess the necessary effort and data for effective implementation.
Before this chapter, I was a Data Scientist at Home Chef and a Data Science Consultant at Inspire11. There I designed and deployed models that significantly improved customer targeting, inventory management, and feedback analysis through customer lifetime value models, forecasting methods, and natural language processing pipelines.
My academic background includes a deep dive into the human mind and behavior. I pursued a PhD in Psychological and Brain Sciences at Dartmouth College, leading a project on understanding the nuances of emotional experiences in the brain. Prior to Dartmouth, I coordinated and led neuroimaging projects at both Stanford University and The University of Maryland.
Outside of work, I’m often out exploring with my dog, picking up new hobbies like woodworking and archery, or trying to simplify my life through code.
Leadership in customer segmentation, predictive modeling, and strategic decision-making. Key achievements include customer targeting, product purchase forecasting, trade promotion optimization, training delivery, and sales and conversion rate analysis.
Specialized in machine learning and natural language processing, contributing to data science methodologies and communication of analytical concepts to a diverse audience.
Developed and managed machine learning models for various applications, including customer acquisition attribution, customer lifetime value calculation, demand forecasting, and NLP for customer feedback analysis.
Computational Social and Affective Neuroscience LabPI Luke Chang
Research Project: Development and validation of multidimensional, brain-based models of emotional experiences in a naturalistic setting.
2018-2021Stanford Social Neuroscience LabPI Jamil Zaki
Research Project: Analysis of naturalistic emotion perception using fMRI empathic accuracy task.
2016-2018Neurocognitive Development LabPI Tracy Riggins
Research: Led fMRI, EEG, and behavioral data collection for an NIH-funded longitudinal study examining the development of memory networks in early childhood Trained and implemented tool for increased accuracy of hippocampal segmentation
2015-2016Brain Mapping CenterPI David Shattuck
Research Project: Image analysis procedures for multimodal imaging data including structural, functional, and diffusion imaging datasets using BrainSuite, a tool developed by Dr. David Shattuck
Social Cognitive Neuroscience LaboratoryPI Matt Lieberman
Assisted in experimental design, stimuli creation, data collection and data analysis in Social Working Memory fMRI study
2011-2015marissadclark@gmail.com