JUWAIRIYA KHAN

Data Analyst with 1+ years of experience specializing in data visualization, business intelligence, and predictive analytics. Proficient in SQL, Power BI, and Tableau, with a proven track record of leveraging data to optimize operational performance and inform strategic decisions. Notable achievements include developing KPI dashboards that improved efficiency by 20% and creating customer segmentation models that boosted conversion rates by 15%. Committed to turning raw data into actionable insights to drive organizational success.

• Certificate of Advanced Studies in Data Analysis and Business Analysis, 01/24, Specialized in advanced data modeling, business intelligence, and data visualization techniques.
• Certificate of Internship Project in Data Analysis, 12/23 - 03/24, Focused on real-world data analysis scenarios, including KPI reporting and predictive modeling for business applications.
• Power BI 'Dashboard in a Day' Certification by Microsoft, 12/23, Mastered the creation of interactive dashboards to visualize complex datasets and improve data-driven decision-making.

British Airways Review Analysis using Tableau:

• Conducted a comprehensive analysis of over 10,000 customer reviews to identify key drivers of satisfaction related to cabin service, entertainment, and food quality.
• Segmented customer feedback by traveler type, seat class, aircraft type, and geographic region using Tableau visualizations, uncovering actionable insights to target service improvements.
• Recommended strategic enhancements that improved customer satisfaction metrics by 10% and informed executive decision-making. Tools: Excel, MySQL, Tableau, Statistical Analysis, PowerPoint

Patient and Disease Data Analysis using Python: 

• Analyzed a dataset of 50,000+ patient records using Python libraries (Pandas, NumPy) to uncover trends in disease prevalence and geographic distribution.
• Developed visualizations with Matplotlib and Seaborn to highlight correlations between demographics and disease impacts, supporting evidence-based policy recommendations.
• Improved analysis efficiency by automating data cleaning and preprocessing workflows, reducing manual effort by 30%. Tools: Python (Pandas, NumPy, Matplotlib, Seaborn), Excel

Statistical Analysis HR Analytics Insights using Power BI: 

• Designed and implemented interactive dashboards in Power BI to analyze HR metrics, including attendance patterns and remote work trends, across a workforce of 5,000+.
• Identified a 15% increase in sick leave occurrences during peak seasonal periods, enabling targeted wellness initiatives. Tools: Power BI, Excel, Statistical Analysis