Jose Bravo Email & Phone Number
Who is Jose Bravo? Overview
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Jose Bravo is listed as DATA SCIENTIST & ENGINEER: Data Products | Big Data Analytics | Quality Assurance at DigiDems, a with 72 employees, based in Salinas, California, United States. AeroLeads shows a matched LinkedIn profile for Jose Bravo.
Jose Bravo previously worked as Campaign DigiDem - Data Technologist at Digidems and Data Scientist at Nielsen. Jose Bravo holds Bachelor Of Arts - Ba, Applied Mathematics from California State University-Sacramento.
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About Jose Bravo
I am experienced in creating, optimizing, and maintaining intricate data pipelines, performing big data analytics, engineering, and implementing robust data validation and quality assurance checks. Deep commitment to translating research and development efforts into impactful productization and conducting essential testing of novel features and impact analyses before a product's release. Adept at crafting efficient data solutions, maintaining a steadfast focus on data quality and results, and translating complex findings into easily digestible insights with data visualizations. Proven ability to collaborate effectively, adapt to evolving technologies, and data-driven organizational decision-making.I am a results-driven, hands-on professional seeking an opportunity to contribute to a dynamic team in a challenging data engineering role and further my analytical skills. Ready to take on new challenges and contribute to the success of forward-thinking data projects.KEY ACCOMPLISHMENTS:• PRODUCT LAUNCH: Successfully launched Nielsen ONE Ads product's critical module through the rapid acquisition of domain knowledge, feature testing, impact analysis, data quality assurance, code reviews, and result presentation, resulting in on-time delivery and widespread recognition within the organization.• DATA PIPELINE OPTIMIZATION: Proactively led cross-functional efforts to optimize Nielsen ONE Ads product's data pipeline, reducing runtime by over 60%, enhancing product efficiency, and improving revenue.• SEAMLESS BAYESIAN INFERENCE INTEGRATION: Spearheaded critical data extraction and Bayesian inference implementation by designing and integrating efficient Python, Spark, PySpark, and SQL-based solutions into the data pipeline, ensuring seamless delivery of posterior probability calculations and seamless integration into the production environment.KEY SKILLS:Database Management | Programming & Algorithms | Monitoring & Logging | Visualization & Modeling | Machine Learning | Troubleshooting & Debugging | Collaborative Teamwork | Data Warehousing | Statistical Analysis | Scripting & Automation | Security Best Practices | Data Governance
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Jose Bravo work experience
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Data Scientist
I helped launch the Nielsen ONE Ads product released January 2023 which measures cross media deduplicated audiences. Supported data pipeline optimization through extensive testing and Spark cluster adjustments resulting in runtime decrease of over 60%.My achievements include:✔ Hands on experience with object-oriented and functional programming. Languages include C++, Java, Julia, Python, R, and SQL for queries. Wrote production-ready code using industry standards. Wrote payload requests and metadata YAML files to initiate data pipelines using modern data orchestration practices, specifically Airflow for directed acyclic graphs (DAG). Working knowledge of Git repositories (GitLab, GitHub) and CI/CD software development method.✔ Knowledge of big data analytics via training in cloud computing. Comfortable working in Linux environment and shell scripting. Experience using a shared platform running on the cloud that provides end to end development flow, data exploration, algorithm prototyping, and run code in production environment.✔ Implemented platform abstraction to orchestrate multiple tasks in a DAG, package my project, provide code management, version control software (Git), parameters to customize execution, and package tests. Published using semantic versioning in both research/development and production environments.✔ Adept at data quality techniques. Identified unexpected pipeline output in the form of data quality assurance (DQA) checks. Other quality checks include regression testing, impact analysis, and/or data validation of new features in the codebase.
Warehouse Associate
Sales And Warehouse Associate
Organizer
External Organizer
Colleagues at DigiDems
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Noah Bardash
Colleague at DigidemsIthaca, New York, United States
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Andrei H.
Colleague at DigidemsParamus, New Jersey, United States
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Patty Matos
Colleague at DigidemsPhiladelphia, Pennsylvania, United States
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Maya Benson
Colleague at DigidemsWashington, District Of Columbia, United States
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Jeremy Durden
Colleague at DigidemsSeattle, Washington, United States
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Sahaja Pandey
Colleague at DigidemsCincinnati Metropolitan Area, United States
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Johnny T.
Colleague at DigidemsUnited States
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August Mcginnity-Wake
Colleague at DigidemsMadison, Wisconsin, United States
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Charlie Stopek
Colleague at DigidemsNew York, United States
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Jake Hui Wang
Colleague at DigidemsNew York City Metropolitan Area, United States
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Jose Bravo education
Bachelor Of Arts - Ba, Applied Mathematics
Bachelor Of Arts - Ba, Physics
Mathematics And Statistics
Frequently asked questions about Jose Bravo
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What company does Jose Bravo work for?
Jose Bravo works for DigiDems.
What is Jose Bravo's role at DigiDems?
Jose Bravo is listed as DATA SCIENTIST & ENGINEER: Data Products | Big Data Analytics | Quality Assurance at DigiDems.
Where is Jose Bravo based?
Jose Bravo is based in Salinas, California, United States while working with DigiDems.
What companies has Jose Bravo worked for?
Jose Bravo has worked for Digidems, Nielsen, Wilderdog, Monterey Bay Aquarium Gift & Bookstore, and National Union Of Healthcare Workers.
Who are Jose Bravo's colleagues at DigiDems?
Jose Bravo's colleagues at DigiDems include Noah Bardash, Andrei H., Patty Matos, Maya Benson, and Jeremy Durden.
How can I contact Jose Bravo?
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What schools did Jose Bravo attend?
Jose Bravo holds Bachelor Of Arts - Ba, Applied Mathematics from California State University-Sacramento.
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