/* As a motivated NYU sophomore, I’m honing my expertise in business technology and data analytics, eager to embrace new challenges and make an impact. */
🟢 Open to work
Currently an Extern @AmazonDive into my portfolio showcasing relevant projects and skills in operational strategy, AI, and data analytics.
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✅ Verified by Extern
Imagine shaping how AMAZON — yes, THE Amazon — welcomes and keeps its workforce. Every year, Amazon loses billions because new hires leave before Day 90. You’re going to fix that. In this externship, you’ll web scrape real-world employee reviews from across the web, extract actionable insights, and
Direct end-to-end engineering project strategy for a cross-functional technical team, translating raw data into actionable insights through quantitative modeling and structured analysis (Pandas, Matplotlib).
PawPal+ is an intelligent Python assistant that manages feeding, walking, and grooming for multiple pets. It uses an agentic workflow to prioritize tasks by considering pet health, owner energy, and time constraints, with a Streamlit-based interface.
I calibrated Negative Temperature Coefficient thermistors over a range of -60°C to 180°C to enhance the durability of Low Gain Avalanche Diode sensors in extreme space temperature conditions. This work improved sensor reliability and performance in challenging environments.
As a motivated NYU sophomore, I’m honing my expertise in business technology and data analytics, eager to embrace new challenges and make an impact.
I’m Erronn Bridgewater, a sophomore at New York University pursuing a Bachelor's in Business and Technology Management. With experience in operational strategy and people analytics, I’m passionate about leveraging data to drive impactful business decisions.
Externships
Amazon Operational Strategy & People Analytics Externship
Amazon
Experience
Operational Stragey & People Analytics Extern
Amazon (Extern) · May 2026 - Jul 2026
Operations Analyst
NYU Rouge Aerospace · Apr 2026
AI Fellow
Handshake · Dec 2025
NYU Admissions Ambassador
New York University · Nov 2024 - Sep 2025
Academic Peer Leader
New York University · May 2025 - Aug 2025
Mission Finance & Risk Analyst
NASA L'SPACE Mission Concept Academy · May 2025 - Aug 2025
Flight Sim Developer
NYU Rouge Aerospace · Apr 2025
Education
New York University
B.S. in Business and Technology Management · Class of 2028
Skills
✅ Verified by Extern
Imagine shaping how AMAZON — yes, THE Amazon — welcomes and keeps its workforce. Every year, Amazon loses billions because new hires leave before Day 90. You’re going to fix that. In this externship, you’ll web scrape real-world employee reviews from across the web, extract actionable insights, and
In my externship with Amazon, I focused on enhancing employee retention strategies by analyzing workforce data. I conducted web scraping of employee reviews to gather insights and developed persona-driven strategies aimed at improving the onboarding experience. This project was dedicated to understanding how data can inform better decision-making in workforce management.
I produced an attrition analysis and briefing note, visualized keyword and sentiment patterns from Glassdoor and YouTube reviews, built a cohort friction map that prioritized Full-Time Associates, and documented root causes linked to HR and operational factors.
Direct end-to-end engineering project strategy for a cross-functional technical team, translating raw data into actionable insights through quantitative modeling and structured analysis (Pandas, Matplotlib).
Codepath · May 2026
PawPal+ is an intelligent Python assistant that manages feeding, walking, and grooming for multiple pets. It uses an agentic workflow to prioritize tasks by considering pet health, owner energy, and time constraints, with a Streamlit-based interface.
PawPal+ is an intelligent Python assistant that manages feeding, walking, and grooming for multiple pets. It uses an agentic workflow to prioritize tasks by considering pet health, owner energy, and time constraints, with a Streamlit-based interface.
Archiecture Overview: Human Input: Users define pets, owners, and specific care tasks via the Streamlit UI. The Scheduler: Acts as the central orchestrator, holding the state of the task queue. AIAgent (Gemini): The Scheduler sends the context to the AI Agent (powered by Gemini 2.5 Flash), which "reasons" through priorities. Validation & Refinement: The system programmatically checks the AI's
NYU Rouge Aerospace · Apr 2025
Brookhaven National Laboratory · Aug 2023
I calibrated Negative Temperature Coefficient thermistors over a range of -60°C to 180°C to enhance the durability of Low Gain Avalanche Diode sensors in extreme space temperature conditions. This work improved sensor reliability and performance in challenging environments.
I calibrated Negative Temperature Coefficient thermistors over a range of -60°C to 180°C to enhance the durability of Low Gain Avalanche Diode sensors in extreme space temperature conditions. This work improved sensor reliability and performance in challenging environments.
I achieved ±2°C sensor calibration accuracy and improved durability from −60°C to 180°C using Matplotlib, SciPy, NumPy, and Pandas for statistical analysis. I automated the collection of around 60 temperature-resistance measurements, reducing experiment time by about 60% with an Arduino-based data acquisition system.