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Nicholas Pappacena

Nicholas Pappacena

Data Scientist

Embark | Miami

Technologies

My Portfolio Highlights

My New Course

Introduction to Python

I am a Data Scientist with experience developing and deploying advanced analytics models that seamlessly align business strategy with actionable business intelligence.

My Work

Take a look at my latest work.

course

Introduction to SQL

course

Introduction to R

course

Introduction to Python

My Certifications

These are the industry credentials that I’ve earned.

Other Certificates

Microsoft Power BI Data Analyst Associate

Microsoft DAT208x - Introduction to Python for Data Science

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.

Embark | Nov 2023 - Present

Manager – Data Analytics, Business Transformation

• Translated business-specific operational and financial KPI requirements across core business divisions into technical specifications, leading to the successful development of multiple automated data visualization executive dashboards in Domo • Developed a comprehensive data architecture for 50+ data operating systems, organizing them by division and automating the ETL process for streamlined data retrieval and storage in an enterprise-friendly Azure data warehouse environment
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PwC | Jan 2022 - Oct 2023

Manager - Data Analytics, Operations

• Led the development of a data visualization operations reporting solution in PowerBI, leveraging multiple enterprise relational SQL databases to measure the impact PwC’s global delivery network system had on the firm performance while supporting senior leadership in strategic decision-making • Established centralized data analytics capabilities using Azure Data Factory (ADF), Alteryx, and Power Automate to enable automated ETL processes for more streamlined and consistent reporting across internal operations teams • Co-developed comprehensive documentation for key data quality procedures and process mapping of central financial data systems, delivering consistent branded reporting solutions and uniform data analytics insights to monitor progress against firm strategic initiatives • Constructed a data model using exploratory data analysis (EDA) in Python to assess the economic value of PwC’s global business model and competitive strategy • Contributed to the creation of internal business rules and standard operating procedures for PwC’s businesses within its global delivery network

PwC | Oct 2017 - Dec 2021

M&A Deals Management Consultant

• Utilized PMO expertise to develop data-driven reporting solutions in Excel and Tableau, enabling the measurement of insights and tracking of critical path activities • Contributed to data migration and warehousing strategies, identifying key data assets to enhance business intelligence • Performed in-depth research on the U.S. Department of Labor's Fiduciary Rule, analyzing its implications for financial investment firms

My Education

Take a look at my formal education

Master of Science in Data Science Northwestern University | 2023
Bachelor of Arts in Financial EconomicsColumbia University | 2017

About Me

Nicholas Pappacena

I am a Data Scientist with experience developing and deploying advanced analytics models that seamlessly align business strategy with actionable business intelligence.

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