Wabi Mposo
- Role
- Marketing Data Scientist at Intuit
- Location
- Decatur, GA, US
- LinkedIn followers
- 500 followers
About Wabi Mposo
Driven professional with demonstrated expertise providing data analysis, machine…
Experience
Marketing Data Scientist
Sep 2021 — Present · Atlanta, GA, US
Leverage expertise with natural language processing to identify user pain points and keywords to help us improve customer experience with our in-app services. Perform extensive A/B testing to detect impact of media outlets in our lower funnel initiative comprised of measuring activation rate and conversion rate. Utilize knowledge of time-series predictive analysis to project activation, conversion, and various KPI metrics. • Collaborate with customer-facing teams, facilitating clustering of data using machine learning algorithms to effectively target quality users. • Generate SQL queries resulting in improved visibility of business KPIs for stakeholders. • Design a bi-weekly marketing scorecard in coordination with third-party agency to outline metrics based on funnel, channel, and partner resulting in development of in-house tool using Tableau to visualize ad impacts. • Serve a crucial role in creating the marketing mix model focused on comprehending key factors affecting conversion. • Apply Python and SQL to assess marketing data, performing statistical analysis to inform long-term marketing initiatives. • Facilitate experiments with both control and test groups to review product effectiveness. • Implemented a logistic regression within consumer analytics aimed predicting, understanding users’ retention and churn rate. • Apply Natural language processing to identify branded search and non-branded search keywords that drives conversion rate.
Education
Northwestern University
Post baccalaureate, Mathematics
2017 — 2021
Drexel University - College of Business and Administration
Bachelor of science of Business Administration, Finance & Economics
2009 — 2014
The Johns Hopkins University
Master of Science - MS, Computational and Applied Mathematics
2022 — 2026
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