Amazon Externship via Extern·🟢 Open to work
I blend operational strategy with people analytics insights, informed by an Amazon externship, as I explore the next step in my career.
Work here focuses on operational strategy and people analytics from my Amazon externship and related hands-on tasks I completed while starting my career.
Built an automated ETL pipeline to extract daily MLB game and player data from REST APIs, clean and transform records in Python, and load analysis-ready tables into Snowflake. Designed a star schema with player, team, game, and date dimensions; created SQL views and Tableau dashboards for game-level and daily performance analysis; added scheduled refreshes, logging, retries, and data-quality handling.
Analyzed 20+ years of Zillow housing data across 50K+ records, performing data cleaning, feature engineering, exploratory analysis, and regression modeling to evaluate regional home-price trends and investment returns.
I blend operational strategy with people analytics insights, informed by an Amazon externship, as I explore the next step in my career.
I am Tim Carlon. I started my career and am exploring a career change. I completed the Amazon Operational Strategy & People Analytics externship and I am refocusing my skills toward roles that combine operations and people analytics.
Externships
Amazon Operational Strategy & People Analytics Externship
Amazon
Experience
Data Science Fellow
Springboard · Jan 2025 - Present
Senior Client Manager - Data Science and Software Development
Proxify · Jul 2023 - Present
Senior Account Manager - SEO Analytics
Botify Corporation · Aug 2021 - Jan 2023
Client Development - Governance
Diligent Corporation · Jun 2019 - Aug 2021
Education
Springboard
Data Science Certification
Syracuse University
B.S. in Management
Codecademy
Full-Stack Engineering Certification
Skills
Built an automated ETL pipeline to extract daily MLB game and player data from REST APIs, clean and transform records in Python, and load analysis-ready tables into Snowflake. Designed a star schema with player, team, game, and date dimensions; created SQL views and Tableau dashboards for game-level and daily performance analysis; added scheduled refreshes, logging, retries, and data-quality handling.
Analyzed 20+ years of Zillow housing data across 50K+ records, performing data cleaning, feature engineering, exploratory analysis, and regression modeling to evaluate regional home-price trends and investment returns.