Alan Coronado Daspro
San Diego
Summary
Detail-oriented Machine Learning Developer with a strong foundation in data engineering and cloud technologies. Skilled in architecting efficient data solutions and collaborating with cross-functional teams to align analytics with business intelligence needs, ready to enhance operational efficiency.
Overview
1
1
year of professional experience
Work History
Machine Learning Developer Intern
Realty Income Corporation
San Diego
06.2025 - 08.2025
- Modernized large-scale data infrastructure by migrating legacy systems to Delta Tables in Databricks, enhancing data accessibility and performance.
- Architected and optimized distributed data pipelines with PySpark and Delta Live Tables (DLT), increasing data reliability and processing speed.
- Collaborated with cross-functional teams to align data engineering efforts with business intelligence needs, ensuring data-driven decision making.
Analytics Intern
Topes de Gama
Comunidad de Madrid
09.2024 - 12.2024
- Designed centralized SQLite database schema for efficient storage and querying of high-volume marketing data, streamlining data retrieval processes.
- Engineered Python-based data pipeline to aggregate and analyze multi-platform social media performance metrics, enhancing data accessibility for reporting.
- Developed a custom GUI using Tkinter to automate data cleaning and reporting workflows, reducing manual processing time by 40%.
Education
BBA - Business Analytics
University of San Diego
San Diego, CA05-2026
Bachelor of Arts - Computer Science
University of San Diego
San Diego, CA05-2026
Skills
- Languages: Python, Java, C, C, R, SQL,
- Data Engineering & Cloud: Databricks, PySpark, Delta Tables, ETL Pipelines, Data Modeling
- Machine Learning: Regression, Feature Engineering, Model Development, Statistical Testing
- Tools & Systems: Linux, REST APIs, WebSockets, SQLite, Tkinter, Jira, Tableau, Git
Languages
English
Full Professional
Spanish
Full Professional
Projects
Real-Time Polling System (Expensify Senior Design Project) | C++, PHP, WebSockets, SQLite
- Designed and implemented a real-time polling system integrated into chat platforms to streamline group decision-making.
- Built a scalable client-server architecture using REST APIs and WebSocket synchronization for instant UI updates.
- Implemented ACID-compliant SQLite storage to ensure data integrity and cross-platform consistency.
- Developed features for ranked-choice voting, anonymity controls, and live analytics dashboards.
Real Estate Forecasting Model | Python, Databricks, PySpark, SQL
- Developed a linear regression model to generate point estimates for property sales, significantly improving forecasting accuracy.
- Translated complex analytical findings into strategic business insights for executive stakeholders to support underwriting decisions.
Timeline
Machine Learning Developer Intern
Realty Income Corporation
06.2025 - 08.2025
Analytics Intern
Topes de Gama
09.2024 - 12.2024
BBA - Business Analytics
University of San Diego
Bachelor of Arts - Computer Science
University of San Diego