Jasmine Kaphle

Data-focused professional with hands-on experience in data cleaning, analysis, and visualization using SQL, Excel, and Tableau to generate insights. Building skills in analyzing user behavior and product metrics to support data-driven decisions and improve performance. Comfortable working in collaborative environments and adapting to evolving analytical challenges. Skilled in data storytelling and communicating insights to both technical and non-technical audiences. Familiar with AI-assisted tools such as Microsoft Copilot and low-code platforms like VibeCode to streamline analysis and build data-driven solutions. Seeking a Product Data Intern role to apply analytical skills in improving user experience and product outcomes.

Explore more at : https://github.com/jasminek139/github-portfolio
Hands-on data analysis projects using Excel and Tableau to clean, visualize, and interpret real-world datasets. Projects demonstrate skills in data wrangling, dashboard creation, trend analysis, and storytelling through data.

• COVID-19 Impact & Recovery Analysis: Developed an interactive Tableau dashboard analyzing global and U.S. COVID-19 data to track infection rates, mortality trends, and vaccination progress over time. Cleaned and merged datasets using Excel and SQL to calculate rolling averages and growth rates. Analyzed pre- and post-vaccination trends to identify patterns in case reduction across regions. Included filters for country, date range, and key metrics to support exploratory analysis and data-driven insights.
• Financial Analysis Web App (Vibe-Coded Project): Designed and built a financial analysis web application that automatically performs variance analysis between actuals and forecasts. The app processes financial data to calculate budget vs. actual differences, highlights key variances across categories, and presents results through a clean, user-friendly interface. This project demonstrates practical application of financial analytics, automation, and data-driven decision support.
• Sales Performance & Customer Segmentation Dashboard :Built an interactive sales performance dashboard analyzing revenue, profit, and customer purchasing behavior across regions and product categories. Cleaned transactional data in Excel and used SQL to calculate key metrics, including profit margin, order frequency, and customer lifetime value. Visualized sales trends, top-performing products, and customer segments in Tableau to identify growth opportunities and support strategic decision- making.