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David Wasserman

Data Scientist

Daedalus Consortium

Technologies

My Portfolio Highlights

My New Course

Intermediate Python

My New Workbook

Course Notes: Anomaly Detection in Python

Insights whisperer, uncovering hidden gems in the vast realm of information.

My Work

Take a look at my latest work.

course

Data Manipulation with pandas

course

Intermediate Python

DataLab

Course Notes: Anomaly Detection in 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.

Clear Street | Jan 2021 - Present

Senior Data Architect

N/A

NYC Data Science Academy | Jan 2021 - Apr 2021

Data Science Fellow

Fellow at the Academy focused on machine learning methods such as linear/ logistic regression, tree-based models like random forests and boosting models, and neural networks. Completed data science projects included: • Lending Club Analysis: Predicted which peer-to-peer loans would default and which would pay off in full • COVID Analysis: Performed time series analysis to predict the trajectory of the disease based on positivity rates • Data Science Positions on Indeed.com: Used NLP on 2,500 postings to find the most requested attributes • Modeling Ames, IA Real Estate Prices: Leveraged six different machine learning algorithms to predict sale prices
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Moody's Corporation | Jan 2015 - Jan 2020

Vice President (Data Governance)

• Managed and cultivated the 7-person Data Governance team of subject matter experts. • Responsible for definition, implementation and enforcement of data governance standards for Ratings Operations, Commercial, Research, and Analytic data sets. • Developed and implemented firm-wide Data Governance Principles and Standards. • Developed conceptual, logical, and physical data models for Structured Finance area using ER/Studio. • Designed and conducted a Python course catered for internal staff.

Moody's Corporation | Jan 2009 - Jan 2015

Vice President (Credit Policy)

• Oversaw the development of Information Technology projects for the Credit Policy department. • Developed Microsoft Access tracking tools; many of which were upsized to C# web applications. • Created an Access-based learning management system (LMS) to monitor training for all analysts. • Subject matter expert for software tools like SharePoint, SQL, Excel, Access, and C#. • Verified financial models (C#, SQL, and Excel/VBA) used throughout different lines of business. • Represented the department on committees dealing with Business Continuity, Information Security, and Data Governance. • Spearheaded a SharePoint implementation (Analyst Handbook) that provided access to a document library.

Moody's Corporation | Jan 2004 - Jan 2009

Business Analyst / Developer, Information Technology

• Developed Moody’s Financial Metrics – a platform used worldwide by the Corporate Finance Group to analyze the creditworthiness of non-financial corporations. • Worked closely with the Corporate Finance credit ratings analysts to develop a user-friendly Projection Model in Excel to forecast financials. • Collaboratively developed Loss Given Default (LGD) Model in Excel to rate corporate bonds and loans.

American Express | Jan 2001 - Jan 2004

Consultant

• SQL Developer who produced reports on AMEX card usage from vendor information. • Programmed ad hoc and recurrent reports using T-SQL against Sybase and SQL Server databases.

My Education

Take a look at my formal education

Bachelor of Science in Economics, PHilosophy, Mathematics, and Business Management (Finance)SUNY Binghamton | 2003

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