Beats By Dre Externship via Extern
I design ETL pipelines, data models, and cloud data solutions with Python, SQL, Airflow, Spark, and Snowflake to make analytics accurate and operational.
Projects include a NJ Transit data engineering system, a Beats by Dre externship for consumer insight analysis, and internships delivering data platforms using Airflow, Spark, Kafka, and Snowflake.
Beats By Dre · May 2025 · ✅ Verified by Extern
Learn how to understand consumer behavior, design surveys, and use AI tools to analyze data. Develop skills in research and data analysis that are valuable for careers in marketing, product development, and more.
I design ETL pipelines, data models, and cloud data solutions with Python, SQL, Airflow, Spark, and Snowflake to make analytics accurate and operational.
Data Analytics Engineer with 2+ years of experience building reliable ETL pipelines, data models, and cloud data solutions using Python, SQL, Airflow, Spark, and Snowflake. Skilled in data quality and observability, large-scale migrations, real-time streaming, and integrating structured and unstructured data to support accurate analytics and operational decision-making across consumer, financial, and transit domains.
Externships
Beats by Dre Data Analytics: Qualitative & Quantitative Insights Externship
Beats By Dre
Experience
Data Engineer Project
NJ Transit Smart Management & Optimization System · Jul 2025 - Oct 2025
Data Analytics Extern
Beats by Dre · Mar 2025 - Jun 2025
Data Scientist Intern
Techcolabs Softwares Inc · Dec 2022 - Apr 2023
Data Engineer Intern
Innovative Research Labs · Jul 2022 - Oct 2022
Education
Pace University
Master of Science, Computer Science
Skills
✅ Verified by Extern
Learn how to understand consumer behavior, design surveys, and use AI tools to analyze data. Develop skills in research and data analysis that are valuable for careers in marketing, product development, and more.
The externship produced a set of consumer-research artifacts for Beats by Dre, including an ideal consumer list, a customer-journey map, a 15-question analytical survey framework, coded qualitative themes from responses, and a presentation outline. Work combined survey design, manual coding, spreadsheet visualizations, and AI-assisted compilation.
I produced a complete consumer-research package: an ideal-consumer list, an AIDA customer-journey map, a 15+ question survey framework, coded themes from 20 responses, and a viewable presentation outline consolidating the findings.