Welcome to my Data Analytics Portfolio. I am an Electrical Engineer transitioned into Data Analytics, leveraging a background in telecommunications testing, validation, and performance monitoring to solve business problems.
This portfolio demonstrates my ability to clean, analyze, and interpret complex datasets using SQL, R, and Tableau. Below are selected case studies that translate technical findings into actionable strategic insights.
| Domain | Tools & Competencies |
|---|---|
| Analytics | SQL (Joins, CTEs, Aggregations), R (Tidyverse, ggplot2, Data Cleaning) |
| Visualization | Tableau (Dashboards, Storytelling), Excel/Sheets (Pivot Tables) |
| Engineering | Telecom Hardware Validation, Network Traffic Monitoring, Systems Analysis |
| Soft Skills | Cross-functional Communication, Technical Documentation, Strategic Problem Solving |
Objective: Analyze usage patterns of casual riders versus annual members to identify conversion opportunities.
- Tech Stack: R, Spreadsheets.
- Key Actions: Processed 12 months of trip data, engineered features for ride duration/timing, and identified distinct behavioral segments.
- Outcome: Delivered data-driven recommendations for targeted marketing campaigns to increase membership conversion.
View Project:
- π Repository & Source Code
- π Full Report (PDF) | Markdown Report
Objective: Analyze health data from smart devices to detect trends and inform marketing strategies for a women's wellness company.
- Tech Stack: SQL, R (Tidyverse, ggplot2), R Markdown.
- Key Actions: Cleaned daily/hourly Fitbit data, analyzed correlations between activity, sleep, and caloric burn, and audited data quality (non-wear days).
- Outcome: Provided actionable recommendations for app feature development and user engagement strategies.
View Project:
- π Repository & Source Code
- π Full Report (PDF) | Markdown Report
- Location: Timisoara, Romania
- Email: [email protected]
- LinkedIn: Robert Amartisoaei
- Resume: Download PDF
- Certification: Google Data Analytics Professional Certificate