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Data Analyst
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Competencies
Demonstrated experience with Python.
Demonstrated experience with pandas.
Demonstrated experience with NumPy.
Demonstrated experience with scikit-learn.
Demonstrated experience with data profiling.
Education
Summary
Data Analyst open to new opportunities
Experience
Data Analyst
Analyzed internal customer needs and translated them into project plans, reporting requirements, priorities, deliverables, and implementation activities.. Extracted, imported, cleaned, validated, and reconciled 2,500–5,000 records monthly using SQL, MySQL, and Excel, maintaining supporting documentation.. Used Python, pandas, and NumPy to transform datasets and identify trends, exceptions, and data-quality issues.. Built and maintained 1–2 Power BI dashboards presenting 5–8 KPIs using Power Query, DAX measures, and relational data models; configured scheduled refreshes in Power BI Service and verified outputs against source data.. Produced 4–6 recurring and ad hoc reports monthly, reducing manual report-preparation time by 10–15% through reusable queries and standardized transformations.. Designed and documented 1–2 internal reporting tools using Python, Flask, HTML, CSS, JavaScript, and MySQL while supporting improvements to 3–5 web and desktop applications.. Analyzed operational processes and collaborated on digital improvements affecting workflows, data access, and reporting consistency.
Sales Associate (Part-Time)
Supported 40–60 customers per shift by processing transactions, answering product questions, and resolving service concerns.. Assisted with inventory, returns, merchandise handling, and daily store operations while maintaining transaction accuracy.