Urvi Pandya

• Built interactive Power BI and Tableau dashboards to monitor patient leads, referrals, conversions, and operational KPIs, enabling data-driven performance monitoring.
• Used Python to clean, transform, validate, and analyze healthcare and business datasets for reporting and visualization.
• Developed KPI-based reports to monitor business performance, patient trends, and referral workflows, supporting data-driven
• decision-making.
• Created dynamic filters and drill-down visualizations enabling non-technical stakeholders to independently analyze business data.
• Automated recurring data processing and reporting workflows, reducing manual effort and improving reporting efficiency.
• Transformed raw datasets into actionable insights and visual reports to support business decisions.

Skills: Python, SQL, Power BI, Tableau, Data Analysis, Data Visualization, Data Reporting, Data Validation

• Conducted macroeconomic and fundamental analysis of global commodity markets, focusing on gold, silver, and copper.
• Monitored CPI, PCE, central bank decisions, inflation trends, and geopolitical developments affecting commodity prices.
• Analyzed futures curves, calendar spreads, inventory data, and warehouse stocks across COMEX, LME, and SHFE.
• Prepared daily market commentary, research reports, and trade ideas for internal discussions.
• Performed technical analysis using price action, moving averages, RSI, MACD, VWAP, and support/resistance.
• Executed and monitored simulated trades on the NextGen platform while following risk management guidelines.

Skills: Macroeconomic Analysis, Commodity Research, Fundamental Analysis, Technical Analysis, Futures Trading, Calendar Spreads, Risk Management