Interactive Dashboards, Python Automation & Structured Modeling.
Transforming messy, disparate market datasets into clean, executive-ready analytical intelligence. I leverage Power BI, Python, SQL, and advanced Excel to build interactive visual dashboards, automated web collection pipelines, and auditable data models.
End-to-End Analytical Precision
From unorganized raw data to dynamic dashboards that clarify strategic patterns instantly.
Power BI Executive Dashboards
Custom interactive business intelligence dashboards allowing leadership to filter market segments, compare competitor pricing, and view growth trajectories with a click.
- DAX data modeling & relationship architecture
- Intuitive UX design with corporate color palettes
- Drill-down capabilities by geography, SKU, and segment
Python Data Collection & Cleaning
Automated data extraction and cleansing scripts using Pandas, BeautifulSoup, and custom scrapers to gather unstructured market data rapidly and reliably.
- E-commerce catalog & pricing data extraction
- Data normalization, deduplication & error checking
- Automated scheduled ingestion pipelines
SQL Database Modeling & Queries
Relational schemas structured to hold complex company attributes, historical pricing benchmarks, vendor lists, and product catalog metadata.
- Relational schema design (PostgreSQL / MySQL / SQLite)
- Multi-table joins & aggregated financial metric views
- Repeatable, auditable analytical query repositories
Financial & Pricing Statistical Modeling
Advanced financial modeling in Excel with VBA/macros for sensitivity testing, margin variance analysis, regression trends, and cost curve estimations.
- Monte Carlo and sensitivity variance analysis
- Unit cost curve & gross margin regression
- Audit-proof spreadsheet modeling with clear parameter inputs
What You Receive at Project Close
Production-grade, fully functional analytics files and documentation.
Published Power BI Report (.pbix)
Fully packaged Power BI dashboard with data relationships, measures, bookmarks, and visual layout ready for deployment.
Documented Python Scripts
Clean, commented Python scripts and Jupyter Notebooks documenting data extraction, transformation, and statistical calculations.
Cleaned Relational Datasets
Structured CSV, Excel, or SQL exports formatted with clear data dictionaries, schema types, and primary keys.
Data Methodology & User Guide
Concise technical manual explaining data source provenance, refresh cadences, and step-by-step instructions for team handoff.
Complementary Consulting Pillars
Market Research
TAM/SAM/SOM sizing, industry trends, and market mapping.
Learn more → PRACTICE 02Competitive Intelligence
Competitor profiling, mystery shopping, and pricing teardowns.
Learn more → PRACTICE 03Strategic Insights
Market entry playbooks, validation, and commercial roadmaps.
Learn more →Have Disorganized Market Data That Needs Structure?
Whether you need automated web scraping pipelines or executive-ready Power BI reporting, let’s connect to build a structured analytics solution.