Laila Azizi
Fremont,CA
Summary
Graduate student in Statistics and Data Science with expertise in data labeling, quality auditing, and workflow optimization. Proficient in tools like MS Excel and SQL, with a strong foundation in root cause analysis and content insights. Experienced in collaborating with cross-functional teams to enhance labeling programs and deliver impactful results.
Overview
1
1
Certification
Work History
Data Labeling Intern
Silver Concepts
Fremont, CA
06.2023 - 08.2023
- Supported quality audits by performing data labeling on large datasets, enhancing the accuracy and consistency of labeling guidelines.
- Became a subject matter expert on labeling workflows, providing insights for guideline improvements and optimization opportunities.
- Conducted root cause analyses to identify labeling errors and implemented corrective actions, resulting in a 15% increase in labeling accuracy.
- Collaborated with cross-functional teams to communicate quality metrics and facilitate adjustments to labeling policies and procedures.
Education
Master of Science - Statistics And Data Science
California State University, East Bay
Hayward05-2025
Bachelor of Science - Computer Science
California State University, East Bay
Hayward05-2023
Skills
- Data Labeling & Quality Audits: Workflow optimization, quality metrics, RCA, guideline improvement, content insights
- Technical Proficiency: MS Excel (pivot tables, VLOOKUP), SQL (data extraction and analysis), Python, R
- Communication & Collaboration: Strong written and oral skills; adept at cross-functional teamwork and stakeholder management
- Critical Analysis: Identifying patterns, conducting root cause analyses, recommending workflow optimizations
- Adaptability & Leadership: Thriving in ambiguous environments, independently tackling challenges, and aligning with product goals
Certification
- Google Data Analytics, Coursera (Expected January 2024)
- Certificate in Java Development, Ohlone College (May 2021)
- Software Testing, Udemy (May 2023)
Projects
- Labeling Workflow Optimization Project: Improved data labeling processes by conducting audits and implementing guideline refinements, resulting in enhanced workflow efficiency.
- Data Visualization Project: Enhanced visual analytics by integrating third-party APIs and developed ETL processes to transform raw data for visualization.
Languages
English
Native/ Bilingual
Persian
Native/ Bilingual
Dari
Native/ Bilingual
Timeline
Data Labeling Intern
Silver Concepts
06.2023 - 08.2023
Master of Science - Statistics And Data Science
California State University, East Bay
Bachelor of Science - Computer Science
California State University, East Bay
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