Riya Panjabi

Recent B.Tech graduate with internship experience in fund accounting, investor reporting, financial data validation, and BI reporting. Skilled in SQL, Excel, and Python for data quality checks, reconciliation, and analysis of capital calls, distributions, and NAV data, with exposure to Power BI and Tableau for dashboarding. Detail-oriented and comfortable working with structured financial/investment data, seeking to grow in a Data Analyst role within fund administration or private markets data operations.

Data Science Analyst Intern - Weintern Pvt Ltd

(2026-01 - 2026-06)

• Performed data cleansing, standardization, and fund-level classification on investment datasets, ensuring accuracy and consistency of capital call, distribution, and NAV-related data prior to analysis.
• Ran QC reviews and reconciliations on processed data, resolving exceptions to maintain adherence to defined data standards and investor reporting requirements.
• Built automated Power BI/Tableau dashboards for real-time KPI tracking, improving reporting timeliness for stakeholders and fund administration teams.
• Applied SQL and Python (scikit-learn) for feature engineering, data preprocessing, and predictive modeling to support business decisions.

Business Analyst Intern - InsightBridge Solutions

(2025-05 - 2025-10)

• Processed and analyzed data from multiple stakeholder sources, identifying process optimizations through detailed documentation and review.
• Built forecasting models and BI dashboards to support stakeholder performance tracking and routine investor reporting.
• Gathered cross-team requirements and coordinated with team members to deliver targets accurately and on time, using Agile/Scrum.

B.Tech - SVKM's NMIMS University, Shirpur (2026)