Data professional with 2.5+ years in data quality, workflow optimization, and ML pipeline support. Proficient in Python scripting, SQL, and automated data processing. Upskilling in Pandas, NumPy, and data engineering pra…
Data professional with 2.5+ years in data quality, workflow optimization, and ML pipeline support. Proficient in Python scripting, SQL, and automated data processing. Upskilling in Pandas, NumPy, and data engineering practices.
Managed end-to-end data operations, leading the team.
Ensured data accuracy and consistency through structured reviews.
Resolved data issues via corrective workflows.
Oversaw the complete data lifecycle from collection to final delivery for ML and engineering teams.
Transformed unstructured data into analysis-ready formats using Python and SQL.
Improved data processing efficiency by 35%.
Engineered scalable web scraping tools to collect structured datasets.
Decreased manual workload by 60%.
Collaborated with ML engineers to enhance dataset quality.
Boosted model training accuracy by measurable margins.
Regularly audited annotation and moderation work to ensure standard qualities are met for training machine learning models.
Improved model accuracy.
Managed end-to-end data operations — leading the team, ensuring data accuracy and consistency through structured reviews, resolving data issues via corrective workflows, and overseeing the complete data lifecycle from collection to final delivery for ML and engineering teams., Transformed unstructured data into analysis-ready formats using Python and SQL, improving data processing efficiency by 35%., Engineered scalable web scraping tools to collect structured datasets, decreasing manual workload by 60%., Collaborated with ML engineers to enhance dataset quality, boosting model training accuracy by measurable margins., Regularly audit annotation and moderation work to ensure standard qualities are met for training machine learning models and improving model accuracy.
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