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Purp Whale

Data Analyst

Fashion

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

My New Project

The GitHub History of the Scala Language

Machine learning maverick, riding the wave of algorithms to new frontiers.

My Work

Take a look at my latest work.

course

Introduction to R

course

Introduction to Python

course

Intermediate Python

DataCamp Course Completion

Take a look at all the courses I’ve completed on DataCamp.

My Work Experience

Where I've interned and worked during my career.

Citi | Sep 2021 - Present

Data Scientist (Experimentation; Omnichannel Decisioning)

Managed roll-out of Mastercard Test & Learn platform across 200+ person analytics organization, streamlining siloed A/B and multivariate testing processes into single customer-centric framework Construct and own data feeds of omnichannel KPIs that enabled first-ever customer-level analyses of channel-specific initiatives Mapped previously disparate digital, financial, contact center, and survey databases Identified $33K of cost savings associated with digital servicing initiative that drove increased volume to call centers with no increase in customer satisfaction or revenue Introduced synthetic control testing based on k-means clusters to measure value of digital product and CX enhancements launched without a holdout Uncovered $15M in revenue gains attributed to previously unquantified digital products Analyzed 200K+ customer journeys to identify which were most predictive of conversion on a digital marketing offer
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Ralph Lauren | Apr 2018 - Aug 2021

Senior Analyst (Customer Insights; Personalization)

Leveraged relational global customer database of 800 million+ observations to provide data-driven insights on topics such as customer segmentations, cross-channel migration, and up-sell potential Worked with cross-functional team of developers, designers, UX specialists, and product managers to deliver personalized site experiences Developed and refined on-site product recommendation strategies based on both business logic and machine learning algorithms such as k-means clustering and item-to-item collaborative filtering Conducted A/B tests to quantify impact of digital personalization features and make recommendations on which tests to scale up

NERA Economic Consulting | Jul 2015 - Apr 2018

Research Associate; Associate Analyst; Analyst

Built economic models from disparate data sources to evaluate the profitability of anti-competitive behavior following a $9.4 billion merger in the pipeline industry Resulted in transaction clearance from the Canadian Competition Bureau Developed linear regressions on a 19 million+ observation transaction dataset to estimate damages owed on €900 million worth of goods impacted by alleged cartel activity in the automotive supplier industry Resulted in successful settlements with all major plaintiffs to date

My Education

Take a look at my formal education

Bachelor of Arts in EconomicsColgate University | 2015

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