Creating sustainable impact through
technology and advocacy
Data Scientist and International Speaker
Work experience
Data Scientist, UX Insights and Engagement, IBM (July 2019 - present)
Supporting a team of 100+ user researchers as the only Data Scientist.
Founded and developed a company-wide insights library that helps 1000+
product team members make data-driven decisions based on 1500+ units of
research.
Lead the metrics strategy to set up and standardize instrumentation to
understand user needs and behavior across 4 internal tools.
Spearhead the creation of an insights dashboard to track the impact of user
research and help executives make strategic decisions.
Identify where product users are struggling within SaaS product experiences
and make recommendations to improve their user experience across the
portfolio using Machine Learning and Big Data Analytics.
Collaborated with the Analytics organization to analyze instrumentation
data for trials of product-led growth products and recommend Aha moments.
Contribute to the exploration and implementation of generative AI for user
research workflows.
Partner closely with Product Management, Design, and Engineering to use
data to influence product roadmaps.
Piloted a voice of customer solution for 6 products by integrating 10+ data
sources from third-party APIs to monitor themes and discover actionable
feedback.
Implemented a rules-based participant panel to track recruitment and
research engagements with 5000+ participants.
๐ Awarded the Outstanding Technical Achievement Award (Major) in 2021 for
my technical accomplishments for innovation, invention, and/or reuse with a
tangible benefit to IBM.
๐ Awarded the Breakthrough Leader in 2021 as part of the first Design
Luminary program as a recognition of my impact through craft, collaboration,
and my proven track record of success.
๐ Awarded the Trailblazer Award in 2020 as a recognition of my work within
the Design organization.
Cognitive Software Engineer, Data Science - Watson Marketing, IBM (June 2017 - June
2019)
Implemented statistical models and provide analytical solutions to model
marketing behaviors.
Genomics Bioinformatics Assistant, University of Pennsylvania School of Medicine
(February 2017 - May 2017)
Performed data analysis and scripting for bioinformatics identification of
genomic breakpoint sites using RPA-ChIP and BrITL.
Data Science Intern, Autodesk (May 2016 - August 2016)
Created a pipeline to extract customer interaction data and deliver
insights into customer issues using Machine
Learning and Natural Language Processing
Summer Intern, Indian Institute of Technology - Bombay (May 2014 - July 2014)
Interned with the Fundamental Research Group to develop a distribution
platform for course synchronization for the MOOC platform edX.
Community engagements
Public speaker and Workshop facilitator (November 2017 - present)
Given 50+ talks and workshops at more than 25
conferences across 9 countries for audience sizes of 25 to 400 people.
Ambassador, Women in Data Science (January 2023 - present)
Represent the non-profit
Women in Data Science by planning events to support women currently
โin data science and to โinspire other women to join the field.
Communications Chair, Society of Women Engineers (July 2022 - present)
Create and curate bi-weekly newsletters to ensure outreach of events to
500+ community members.
Plan and organize events advocating for and supporting the Bay Area
community as part of the national non-profit Society of Women Engineers .
Presented Computation of Neighborly Renewable Energy Harvesting at the 2014
Grace Hopper poster session.
Energy harvesting papers accepted at the American Physical Society March
meeting 2013, the Raman Memorial Conference 2013 and the 3rd International
Conference on Recycling and Reuse of Materials.