Pedram Safaeifar

Context

Drive end-to-end delivery of a residential water solutions market research initiative across 3 European markets, aligning 10+ stakeholders on methodology and timelines to ensure on-time delivery.

What I Did

• Defined project scope, timeline, and key deliverables for the research initiative
• Coordinated internal stakeholders and external partners across multiple workstreams
• Structured the project into phases including research design, data collection, synthesis, and reporting
• Monitored progress and ensured alignment between technical, commercial, and research teams

Outcome

Delivered a structured insight program that produced actionable market intelligence and supported internal discussions on product opportunities and strategic priorities. The research findings influenced the team's product roadmap and partnership priorities.

Context

Enable collaboration between technical, commercial, and research teams during early-stage initiative discussions.

What I Did

• Facilitated structured workshops to gather perspectives from different stakeholders
• Synthesized inputs and differing viewpoints into clear discussion points
• Helped structure conversations around priorities and potential solution directions

Outcome

Improved alignment across teams and enabled more structured discussions around potential initiatives and next steps. Teams reached consensus on initiative priorities, enabling cross-functional decisions to move forward. Tens of new ideas for products and improvements generated during the sessions.

Objective

Investigate customer churn patterns for a streaming video startup to identify retention drivers and guide strategic focus toward the most promising user segments.

What I Did

• Analyzed overall churn trends since the company's inception
• Performed comparative churn analysis across distinct user segments
• Examined how consumer behavior differs between segments to identify growth opportunities
• Built reproducible SQL-based analytical queries for churn metrics

Tools

SQL, SQLite, Segment Analysis, Retention Metrics

Objective

Understand the key factors driving airline pricing dynamics and help identify optimal flight deals through comprehensive data exploration.

What I Did

• Analyzed pricing distributions across cabin classes and flight characteristics
• Investigated the impact of in-flight amenities, delays, and booking patterns on pricing
• Explored weekend vs. weekday and red-eye flight pricing variations
• Visualized trends using Seaborn and Matplotlib for clear insight communication

Tools

Python, Jupyter Notebook, Seaborn, Matplotlib

Objective

Predict sales patterns by analyzing historical data using time series methodologies and evaluating which models perform most effectively.

What I Did

• Conducted exploratory data analysis on sales data to identify trends and seasonality
• Applied time series forecasting techniques including ARIMA modeling
• Compared multiple machine learning approaches to identify optimal predictive models
• Evaluated model performance using accuracy metrics

Tools

R, Time Series Analysis, ARIMA, Prescriptive Analytics

Context

Led internal initiatives with structured data analysis and evidence-based insights.

What I Did

• Analyzed datasets related to product usage and market behavior
• Developed analytical dashboards to highlight patterns and trends
• Built a SharePoint-based database connected to a Power BI semantic model, and developed the required measures and logic to drive dashboard visualizations based on defined metrics and processes
• Integrated quantitative analysis with qualitative insights

Outcome

Provided data-supported insights that informed internal discussions and initiative prioritization. Leadership used the dashboards to reprioritize initiatives and allocate resources based on actual usage data.

Context

Understand factors influencing adoption of residential water solutions across key European markets.

What I Did

• Designed and coordinated a structured research initiative involving multiple industry stakeholders
• Synthesized qualitative insights into key themes related to installation practices and purchasing dynamics
• Structured findings into clear insight areas and opportunity themes

Outcome

Generated strategic insights that informed internal discussions on product positioning and potential market opportunities. Helped the team identify which business ideas had the highest potential, focusing effort on the most promising opportunities.

Context

Contributed to building a physical proof-of-concept to validate a product concept before investing in full development.

What I Did

• Collaborated with the team to create a non-functional physical mockup of a product concept
• Supported early-stage design decisions by translating ideas into a tangible prototype
• Used the mockup to facilitate stakeholder feedback and alignment on product direction

Outcome

The prototype feedback gave stakeholders the confidence to greenlight the next development phase.

Objective

Build an interactive dashboard for real-time analysis and visualization of the business performance of a sample product line, enabling data-driven decision-making.

What I Did

• Designed and developed an interactive Tableau dashboard to monitor key performance metrics
• Visualized sales trends, product comparisons, and performance indicators across multiple dimensions
• Enabled real-time filtering and drill-down capabilities for deeper business insights
• Published the dashboard online for accessible, on-demand performance tracking

Tools

Tableau, Data Visualization, Business Intelligence, Performance Analytics