Ramon Vejar
Indianapolis
Summary
Innovative data scientist with a robust background in machine learning, statistical analysis, and predictive modeling. Skilled in translating complex datasets into actionable insights that drive decision-making and business strategy improvements. Demonstrates strong problem-solving abilities and mastery of Python, R, SQL, and data visualization tools. Previous work has led to significant enhancements in operational efficiency and revenue growth through data-driven strategies.
Overview
8
8
years of professional experience
Work History
Data Scientist
The Walt Disney Company
05.2022 - Current
- Designed and implemented ETL pipelines to process and analyze large-scale data, improving data processing efficiency by 20%
- Developed and maintained data models to support analytical reporting and business intelligence
- Created interactive dashboards and visualizations using Tableau to present key metrics to stakeholders
- Collaborated with cross-functional teams to understand data requirements and deliver tailored solutions
- Implemented data quality checks and monitoring systems to ensure data accuracy and reliability
Data Scientist - Game Analytics
Electronic Arts
Orlando
09.2018 - 05.2022
- Built and optimized data pipelines using Spark and Hive to process terabytes of game telemetry data
- Developed data models to analyze player behavior and provide insights for game design improvements
- Created and maintained dashboards in Looker to visualize player engagement and monetization metrics
- Worked closely with product managers and data engineers to define data requirements and deliver solutions
- Ensured data governance by implementing best practices for data security and compliance
System Engineer
Symbotic
Tolleson
11.2017 - 08.2018
- Developed automated data collection systems to monitor system performance and detect anomalies
- Conducted data analyses to identify trends and provide recommendations for system optimization
- Collaborated with software developers to integrate data solutions into existing systems
- Implemented data visualization tools to present system metrics to stakeholders
Lead Software Developer & IT Specialist
Avirtek
Tucson
05.2017 - 05.2018
- Designed and implemented data collection and analysis tools to monitor cybersecurity threats
- Developed visualizations to present security metrics and trends to clients
- Conducted machine learning experiments to detect and predict potential security breaches
- Collaborated with cross-functional teams to develop and deploy security solutions
Education
Master of Science - Applied Data Science
Syracuse University
Syracuse, NYBachelor of Arts - Information Science and eSociety, Minor in Spanish
University of Arizona
Tucson, AZSkills
- Data Engineering
- ETL Workflow Management
- Data Structure Design
- SQL
- Python
- R
- Spark
- Hive
- AWS
- Google Cloud Platform
- Data Visualization Tools
- Tableau
- Power BI
- Data Governance
- Machine learning
- Data pipeline optimization
- Predictive analytics
- Cross-functional collaboration
- Stakeholder engagement
- Big data analytics
Projects Contributions
- Real-Time Data Processing Pipeline: Developed a real-time data processing pipeline using Spark and AWS Kinesis, reducing data latency by 30%.
- Customer Segmentation Dashboard: Created an interactive dashboard in Looker to visualize customer segments, aiding marketing strategies and increasing campaign effectiveness by 15%.
- Data Quality Monitoring System: Implemented a data quality monitoring system that automatically detects and alerts for data anomalies, improving data reliability.
Timeline
Data Scientist
The Walt Disney Company
05.2022 - Current
Data Scientist - Game Analytics
Electronic Arts
09.2018 - 05.2022
System Engineer
Symbotic
11.2017 - 08.2018
Lead Software Developer & IT Specialist
Avirtek
05.2017 - 05.2018
Master of Science - Applied Data Science
Syracuse University
Bachelor of Arts - Information Science and eSociety, Minor in Spanish
University of Arizona
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