-Conducted Data Analysis to sample demographics and Data Visualizations to show audience trends in audio listening across the US. -Used Data and Predictive Modeling techniques to predict listener behavior and churn. -Delivered accurate radio audience measurements and maintained sample proportionality for 49 radio markets with panels comprising of 40K households.

Women In Data | Oct 2021 - Dec 2021

Data Science Residency

-Managed end-to-end data science projects, including data exploration, hypothesis formulation, analysis, and evaluations. -Addressed critical business challenges for stakeholders, delivering valuable insights on imperative and potential for workforce transformation for city residents. -Uncovered key disparities in city residents' educational attainment and examined variations in current occupations versus projected occupational trends.

Rearc | Apr 2021 - Oct 2021

Data Engineering Intern

-Developed and sourced unique and high-value datasets and helped build the necessary automation to transform and publish 20+ datasets onto the AWS Marketplace using Python, SQL, AWS S3, Lambda etc. -Participated in code reviews and knowledge sharing sessions with other data engineers.

Gender IDEAL | Mar 2021 - Oct 2021

Data Scientist

-Collected and analyzed survey data from a diverse pilot program for GenderIDEAL Assessment participants, supporting workplaces in enhancing gender equity through data-driven insights. -Analyzed data from 24 diverse companies, each completing a 125-question Gender IDEAL assessment, generating customized Benchmark and Recommendation Reports for each company.

General Assembly | Dec 2019 - Mar 2020

Data Science Fellow

Participated in a full -time immersive course of 420 lecture hours, with real stakeholders. Completed several in-class projects, and personal projects in a wide range of Data Science topics. Performed end to end data science iterative life cycles. This included identifying the business problem, extracting the data from various sources, preparing and transforming the data, doing exploratory data analysis, doing feature engineering, building different models, both supervised and unsupervised, using machine learning algorithms, data visualization using Tableau and presenting the results to non technical stakeholders.

Various Companies | Jan 1998 - Aug 2013

Consultant Positions

Other Experience: Consultant (Feb 2013 – July 2013) McKinsey and Company, New York, NY Consultant The World Bank, Washington D.C Doctoral Research Intern Center for Urban Planning & Research, Piscataway, NJ

My Education

Take a look at my formal education

General Assembly

Rutgers University

Columbia University in the City of New York

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