Data Analyst with hands-on experience collecting, cleaning, validating, and analyzing large datasets to drive business decisions. Proficient in SQL, Advanced Excel, and Python for data analysis, and skilled in Power BI a…
Data Analyst with hands-on experience collecting, cleaning, validating, and analyzing large datasets to drive business decisions. Proficient in SQL, Advanced Excel, and Python for data analysis, and skilled in Power BI and Tableau for building dashboards and visualizations that surface trends and actionable insights. Experienced applying statistical techniques and data modeling to ensure data accuracy, automate recurring data processes, and present clear, stakeholder-ready findings across the full analysis lifecycle.
<p>Collected, cleaned, and validated a 500K-row production dataset for accuracy using Python, Pandas, and SQL.<br>
Automated preprocessing and feature engineering, improving pipeline efficiency by 35%.<br>
Applied statistical techniques and 5-fold cross-validation to build and validate classification and regression models, lifting model accuracy from 71% to 84%.<br>
Automated recurring reporting workflows, saving 3 hours per week.<br>
Built real-time KPI dashboards in Power BI and Streamlit to help stakeholders track trends and make data-driven decisions.<br>
Built NLP preprocessing pipelines (tokenization, stopword removal, normalization) feeding a downstream classification system.</p>
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