Functional Skills

Financial Due Diligence
Data Modeling
Data Visualization / Reports
Data Collection / Research
SQL Analysis

Software Skills

SQL
Python
R
Tableau
Looker
AWS Redshift
Airflow
VBA
Microsoft Excel Macros

Sector Experience

Retail
Travel & Hospitality
Financial Services
Technology
Real Estate

Languages

English
Spanish
1
hour

Avg Response Time

2
jobs

Jobs Completed

413
hours

Total Hours Logged

12
years

Years of Experience


Bulge Bracket Investment Banks
Fortune 500

Experience

 
WeWork Data Science / Analytics
Data Engineering Manager
10/2017 - Present
Partner with leadership across the business, including the Executive Leadership Team, to identify key performance indicators (KPIs) that assess WeWork’s most critical path to success and profitability. Build out data pipelines and transformations to evolve a centralized, cloud-based data lake, and integrate insights into the operations and customer lifecycle of WeWork via dashboards, Machine Learning products and proactive analysis. Build the foundation to motivate a data-centric culture.

Columbia University Data Science / Analytics
Adjunct Faculty
04/2018 - Present
Provide instruction and facilitation for Applied Analytics master's program, including courses on Analytics Strategy and Analytics in the Organizational Context. Taught over 150 students.

The New School at Parsons Data Science / Analytics
Faculty
04/2018 - Present
Course design and instruction for the Data Visualization and Infographics certificate program. Teach students across different levels of data literacy and experience to work with data to build out impactful visualizations. Taught over 80 students.

Etsy Data Science / Analytics
Senior Analytics Engineer
04/2017 - 10/2017
Worked with the CFO office and FP&A to develop forecasting models, competitive benchmarking frameworks, and data products to identify opportunities to reaccelerate Etsy's profit growth.

Goldman Sachs Data Science / Analytics
Engineer
07/2012 - 04/2017
Built data analytic tools to identify opportunities to improve operational and financial efficiency of the Technology division.