> I’m a data analyst and computer science professional based in New York City, passionate about machine learning, data engineering, and building intelligent systems that solve real-world problems. I’ve worked across aerospace, e-commerce, and retail analytics, designing data pipelines, building predictive models, and creating dashboards that transform raw data into meaningful stories. Whether it was analyzing passenger behavior and operational data for aviation, studying customer engagement for online markets, or understanding sales performance and inventory dynamics in retail, I’ve learned how data behaves in different industries — and how to make it useful.
> I have hands-on experience with SQL, Python, cloud data tools, and visualization platforms, and I love explaining complex technology in simple, human language. Right now, I’m expanding my knowledge in AI, cloud computing, and large language models, while building real projects and preparing for my first full-time role in tech.
> I believe data should not only answer questions — it should help people think better, plan smarter, and make decisions with clarity.
> Designed a full ETL data warehouse using Snowflake, integrating climate and business review data to analyze how environmental conditions impact customer behavior and business performance.
> Explored real DoorDash delivery data to uncover inefficiencies in delivery times, missing items, customer satisfaction patterns, and operational bottlenecks.
> Using Python, I engineered metrics like delivery lateness, order-level missing item rates, and average resolution time to show how delivery performance affects customer experience.
> Analyzed Gorgias product usage during free trials to uncover which behaviors lead to successful conversions.
> Using event data from tickets, integrations, and account activity, I identified key adoption patterns — such as high ticket volume, AI chatbot usage, and number of enabled apps — that strongly predicted conversion likelihood.
> CONTACT()
📬 pierremoraerazo@outlook.com
📍 New York, NY
🔗 LinkedIn() | GitHub() | Portfolio()