Detail-oriented Data Analyst with hands-on experience in cleaning, transforming, and analyzing large datasets using SQL, Power BI, Excel, and Tableau. Skilled in creating dynamic dashboards, writing optimized SQL queries…
Detail-oriented Data Analyst with hands-on experience in cleaning, transforming, and analyzing large datasets using SQL, Power BI, Excel, and Tableau. Skilled in creating dynamic dashboards, writing optimized SQL queries, and extracting actionable insights that support business decisions. Experienced in handling datasets with 500,000+ records, automating reports using DAX and Power Query, and identifying trends across industries such as pharmaceuticals and crowdfunding. Adept at data modeling, KPI tracking, and presenting insights to stakeholders to drive operational improvements and strategic planning.
● Analyzed over 500,000 clinical trial records using SQL and Excel, focusing on drug effectiveness and patient outcomes for a major American pharmaceutical client.
● Cleaned, validated, and transformed raw datasets in Excel, increasing data quality and consistency by 35%, which reduced reporting errors.
● Built interactive dashboards in Power BI to track key KPIs such as response rate, trial completion rate, and dosage efficacy across multiple demographics.
● Identified anomalies and outliers in clinical data enabling better trial monitoring and protocol adjustments.
● Delivered insightful data visualizations that helped stakeholders evaluate treatment performance across age groups, leading to an improved focus on target demographics.
● Supported strategic decisions by identifying the top-performing compounds, leading to a 15% improvement in trial success rate.
● Contributed to internal knowledge sharing by presenting project findings during weekly review meetings.
Analyzed over 500,000 clinical trial records using SQL and Excel, focusing on drug effectiveness and patient outcomes for a major American pharmaceutical client.
Cleaned, validated, and transformed raw datasets in Excel, increasing data quality and consistency by 35%, which reduced reporting errors.
Built interactive dashboards in Power BI to track key KPIs such as response rate, trial completion rate, and dosage efficacy across multiple demographics.
Identified anomalies and outliers in clinical data enabling better trial monitoring and protocol adjustments.
Delivered insightful data visualizations that helped stakeholders evaluate treatment performance across age groups, leading to an improved focus on target demographics.
Supported strategic decisions by identifying the top-performing compounds, leading to a 15% improvement in trial success rate.
Contributed to internal knowledge sharing by presenting project findings during weekly review meetings.
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