Jemish Moradiya

• Leveraged advanced SQL techniques to perform cohort analysis on large-scale datasets. • Automated reporting workflows by replacing manual Excel processes with Python-based tools, achieving 99% data accuracy. • Developed interactive Power BI dashboards using Row-Level Security (RLS) and scheduled refreshes for real-time reporting. • Implemented Python-based data validation scripts, improving data quality for financial audits.

• Streamlined cross-functional reporting by developing systematized Power BI and Python dashboards, accelerating executive decision-making speed by 30%. • Improved query performance by 40% through Advanced SQL optimization, enabling real-time monitoring of standardized KPIs across high-volume datasets. • Conducted A/B testing and segmented Offerwall performance using SQL, optimizing targeting and reward conversion.

• Architected and deployed interactive Power BI dashboards using dynamic DAX measures and Power Query, establishing Star Schema data models that improved query performance by 25%. • Processed and cleansed 50K–200K+ raw records utilizing SQL and Python, building structured ETL pipelines for production-ready reporting datasets. • Led cross-functional requirements gathering sessions with key stakeholders, translating complex Exploratory Data Analysis (EDA) findings into strategic business recommendations.

• Focus: Database Management Systems, Data Analysis, Data Mining, Cloud Computing, Real-time Systems, Simulation, IT Security, R Language.

• Focus: Data Structures, Advanced Algorithms, Mathematics, Machine Learning, Java, Python Programming, Object-Oriented Programming, Project Management, Microsoft 365.