Business Intelligence · SQL · Python · Power BI · Reporting Systems
B.Tech Computer Science — ITER, SOA University (2027) · Bhubaneswar, India · Open to Relocate

Business Intelligence starts long before dashboards.

I'm a Computer Science student building production-style Business Intelligence platforms that transform operational data into governed analytical datasets using SQL, Python, dimensional modeling, KPI governance, semantic modeling, and engineering documentation.

Across my repositories, the focus remains consistent: preparing trusted analytical datasets that support business metrics, executive reporting, and recurring business reviews. The dashboard is the final layer—not the starting point.

Every repository follows the same reporting workflow.

Operational Data
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SQL Transformation
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Python ETL & Data Validation
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Curated Analytical Datasets
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Dimensional Modeling
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Semantic Layer
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Executive Reporting

The objective is to organize business data into reporting systems that produce consistent, reusable business metrics instead of isolated dashboards.

Business Intelligence
Power BI · DAX · Power Query

Data Engineering
SQL · Python · ETL · Data Validation

Analytical Modeling
Dimensional Modeling · Star Schema · KPI Governance · Semantic Modeling

Reporting & Documentation
Executive Reporting · Business Documentation · Reporting Playbooks · Weekly Business Reviews

Tools
Git · GitHub · VS Code · Jupyter Notebook

Across five flagship repositories, each project focuses on a different stage of the Business Intelligence engineering lifecycle like from data preparation and KPI governance to cloud analytics, semantic modeling, and executive reporting.

• Designing reporting architectures around business requirements.
• Transforming operational data into curated analytical datasets.
• Building dimensional models for reusable reporting.
• Defining governed business metrics and KPI standards.
• Developing semantic reporting models in Power BI.
• Supporting executive reporting with engineering documentation and reporting playbooks.

Together, these repositories demonstrate how reporting systems are designed before they are visualized.

• Fundamentals of Analytics (Part 1) — AWS SkillBuilder
• Tata GenAI Powered Data Analytics — Forage
• Deloitte Data Analytics Job Simulation — Forage
• AWS Solutions Architecture Job Simulation — Forage

As I continue building Business Intelligence reporting systems, I'm deepening my understanding of:

• Advanced SQL for analytical reporting
• Data warehouse design
• Power BI semantic models
• KPI governance
• Reporting architecture
• Business metric design
• Dimensional data modeling

I'm interested in Business Intelligence Engineering roles where reporting is treated as an engineering discipline rather than a visualization task. My current work focuses on designing reporting systems that organize operational data into trusted analytical models for executive reporting and business decision-making.

I'm continuously expanding this portfolio by building reporting solutions across different business domains while strengthening my understanding of data warehousing, semantic modeling, and modern BI engineering practices.

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Building production-style Business Intelligence reporting systems that transform operational data into governed analytical models for business decision-making.