Data / UX Analytics with a GIS background (Forest Engineer) and 20+ years solving complex problems. I recently completed the TripleTen Data Analytics bootcamp and turn user & operational data into actionable insights that improve journeys, KPIs, and efficiency.
- 🔬 Projects: funnels & A/B testing, cohorts/retention and churn, call-center operational KPIs, e-commerce analytics, mobility/taxi analysis.
- 🛠️ Tools: Python (pandas, numpy, scipy, scikit-learn), SQL, Power BI, Excel.
- ✅ Data quality & ETL: validation, consistency, traceability; basic ETL (Extract-Transform-Load).
- 🧭 Leadership: served as Acting Team Coordinator and Acting Territorial Director (standards, change control, executive reporting).
- 🤖 Curious about AI-assisted workflows to speed up analysis and QA.
Portfolio / CV:
- Projects repo: https://github.com/arkad2008/duver-analytics-portfolio
- LinkedIn: https://www.linkedin.com/in/duver-arredondo-data/
- Contact: duverarredondo@yahoo.com
Problem: Which pre-paid plans are most profitable by region?
Approach: Descriptive stats & visuals; hypothesis testing
Impact: Segmentation/plan adjustments → +12% revenue potential
Stack:
Problem: Too many ideas; need prioritization & measurement
Approach: ICE/RICE, A/B experiments, t-test/chi²
Impact: Highest-ROI hypothesis → +8% sales projection
Stack:
Problem: Rising churn; need early-risk signals
Approach: Logistic Regression & Random Forest; behavioral segments
Impact: Retention playbook → up to –15% churn
Stack:
Problem: Measure home→payment funnel; assess a UI change
Approach: Event validation; control vs test; t/chi²
Impact: No significant lift → instrumentation fixes & next-test design
Stack:
Problem: Long/variable waits; abandonment
Approach: KPIs (avg/median/max wait), queue/operator ranking
Impact: Bottlenecks: workload redistribution; ops dashboard
Stack:
See more in the portfolio repo’s
/projectsfolder.
Languages & libs: Python (pandas, numpy, scipy, scikit-learn), SQL, Power BI, Excel, matplotlib, seaborn.
Competencies: A/B testing, cohorts/retention, funnels, deep dives, data storytelling, basic ETL, data quality & standards.
Open to Data Analyst / UX Data Analyst roles (Remote/Hybrid · LatAm/Global).
Feel free to open an issue, suggest improvements, or reach out: duverarredondo@yahoo.com.