Tools and technologies I use to build data-driven products
I work across the full product stack, from data analysis and research to design and implementation. Here are the tools and technologies I use to turn insights into impactful products.
Tools for data analysis, visualization, and business intelligence
Advanced queries, optimization, database design
Pandas, NumPy, data analysis, automation
Dashboard creation, DAX, data modeling
Interactive dashboards, storytelling with data
Statistical analysis, data visualization
Advanced formulas, pivot tables, VBA
Tools for product strategy, design, and team collaboration
Agile workflows, sprint planning, backlog management
Wireframing, prototyping, design systems
Documentation, requirements, knowledge management
User behavior analysis, conversion tracking
Experiment design, statistical significance
Sprint planning, retrospectives, stakeholder management
Cloud platforms, databases, and technical tools
QuickSight, S3, Lambda, EC2
Data services, analytics, cloud computing
Database management, SQL optimization
ERP systems, business processes
CRM management, workflow automation
Development environment, extensions, debugging
Leadership, communication, and strategic thinking abilities
Leading teams across engineering, design, and business stakeholders
Translating technical concepts into business value
Breaking down complex problems into actionable solutions
Aligning product decisions with business objectives
Thriving in fast-paced, changing environments
Using metrics and analytics to guide product strategy
Professional certificate covering data analysis, visualization, and business intelligence
Microsoft
Advanced Power BI techniques for enterprise reporting and analytics
Oracle
Database design, SQL programming, and optimization techniques