Data Analyst with strong analytical skills in Python, SQL, and data visualization tools (Power BI, Excel). Experienced in data cleansing, pattern analysis, and automation to improve operational efficiency. Proven ability…
Data Analyst with strong analytical skills in Python, SQL, and data visualization tools (Power BI, Excel). Experienced in data cleansing, pattern analysis, and automation to improve operational efficiency. Proven ability to deliver actionable insights and manage stakeholder relationships in fast-paced environments.
Collected operational data from factory workers using egocentric (head-mounted), exocentric, and DAS camera systems across multiple production lines.
Analyzed time-study data in Excel including start/stop times, total run time, and cycle counts, identifying 15% reduction in idle time.
Generated actionable reports on production metrics, supporting process optimization that improved workflow efficiency by 20%.
Collected operational data from factory workers using egocentric (head-mounted), exocentric, and DAS camera systems across multiple production lines., Analyzed time-study data in Excel including start/stop times, total run time, and cycle counts, identifying 15% reduction in idle time., Generated actionable reports on production metrics, supporting process optimization that improved workflow efficiency by 20%.
Conducted data analysis on 50,000+ property listings, improving data accuracy by 35% through verification protocols.
Analyzed market trends and customer behavior patterns, generating insights that increased operational efficiency by 25%.
Developed automated data validation processes using Python and Excel, reducing manual effort by 40%.
Conducted data analysis on 50,000+ property listings, improving data accuracy by 35% through verification protocols., Analyzed market trends and customer behavior patterns, generating insights that increased operational efficiency by 25%., Developed automated data validation processes using Python and Excel, reducing manual effort by 40%.
Conducted data verification and validation on 10,000+ records, ensuring 98% accuracy and completeness.
Analyzed unstructured datasets using Python (Pandas, NumPy), identifying anomalies and improving data quality by 30%.
Conducted data verification and validation on 10,000+ records, ensuring 98% accuracy and completeness., Analyzed unstructured datasets using Python (Pandas, NumPy), identifying anomalies and improving data quality by 30%.
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