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Crystal Reports for Chemical & Pharma Lab Systems (ELN)
Designed and developed Crystal Reports for an Electronic Lab Notebook (ELN) environment used in chemical and pharmaceutical R&D. The report captures full experiment traceability project and scientist codes, reaction type and stage, structured reagent/material tables with CAS numbers, molecular weight, quantity, and equivalents, plus reaction monitoring snapshots and final yield, batch size, and compound appearance data.
Built for compliance-heavy environments where every field needs to be audit-ready: consistent formatting, embedded chemical structures, calculation tables (moles, equivalents, density), and a clean signatory/approval section for QA sign-off.
This kind of report is common across CROs, API manufacturers, and pharma R&D teams running SAP B1 or standalone ELN systems and it's exactly the type of structured, data-heavy report I specialize in building and maintaining.
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I designed a Business Intelligence and financial reporting solution that transforms scattered data from multiple sources into centralized, validated, and decision-ready information.
The solution automates the complete reporting workflow: connecting and consolidating data, cleaning and standardizing information, applying business rules, building a structured data model, calculating financial KPIs, and generating executive dashboards and recurring reports.
Instead of manually combining spreadsheets and preparing reports every reporting period, the workflow creates a repeatable data pipeline that reduces manual work while improving consistency, traceability, and visibility.
Key capabilities include:
Multi-source data consolidation
Automated ETL and data transformation
Data validation and quality controls
Power Pivot data modeling
Financial KPI calculations
Interactive executive dashboards
Automated and scheduled reporting
Exception and duplicate detection
Audit trails and process traceability
Technologies: Excel, Power Query, Power Pivot, VBA, DAX, SQL/CSV data sources and automated reporting workflows.
The goal of the project is not simply to create a dashboard, but to build the automated data process behind it — turning raw information into reliable insights that can support faster business decisions.
All information, companies and metrics displayed in this case study are fictional demo data created exclusively for portfolio purposes.
I made this Nexabank Financial Dashboard for my client.
Which one is looking better?
Let me know your thoughts.
3 voted
43%
4 voted
57%
7 votes
Closed
Option 2 for me — it feels cleaner and easier to scan, while keeping the KPIs and charts visually clear. Both are well structured, but Option 2 feels more presentation-ready.
