Open to opportunities

Junior Rutamu

@juniorrutamu

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I am an insight-driven Data Analyst specializing in ETL, dashboards, and predictive analytics.

United States

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What I'm looking for

I seek a collaborative analytics role building scalable ETL pipelines, actionable dashboards, and predictive models to drive measurable business impact and professional growth.

I am an insight-driven data analyst with a strong foundation in statistical modeling, KPI development, and automated reporting. I translate complex datasets into actionable insights that drive data-informed decisions across industries.

At Liberty Latin America I developed customer segmentation models that improved personalization by 30%, built Power BI dashboards that cut reporting turnaround by 40%, and engineered ETL pipelines supporting an 80%‑precision B2B recommendation system. I also contributed to a 15% improvement in retention strategy and a 20% increase in bundling revenue through cross-sell analysis.

Previously I automated data extraction, cleaning, and reporting across organizations—reducing manual effort 30%, improving threat detection by 40%, and lowering MTTR by 25%—and created dashboards and telemetry monitoring with Grafana and Tableau. My projects include an e-commerce analytics platform processing over 10M transactions and a salary-analysis study on 120K+ job postings that improved prediction accuracy 40%.

I hold a Master of Science in Business Analytics (Emory) and an MS in Information Technology (Carnegie Mellon) and I seek roles where I can build scalable data solutions, mentor teammates, and deliver measurable business impact.

Experience

Work history, roles, and key accomplishments

Current

Data Analytics Consultant

Current

Liberty Latin America

Jan 2025 - Present (7 months)

Developed customer segmentation models increasing personalization by 30%, built Power BI dashboards that reduced reporting turnaround time by 40%, and engineered ETL pipelines enabling a recommendation system with 80% precision that supported a 15% improvement in retention.

Power BI Python SQL Customer Segmentation Data Integration Dashboarding

Data Analyst Consultant

Carnegie Mellon University

Jan 2024 - May 2024 (4 months)

Maintained 300+ academic records weekly and standardized Excel formats to reduce manual entry time by 40%, contributing to a 25% drop in data errors while producing weekly snapshots for departmental reporting.

Excel Data Cleaning Reporting SQL Data Validation Documentation

Network Data Analyst

Carnegie Mellon University

Sep 2023 - Jan 2024 (4 months)

Built real-time Grafana dashboards and performed anomaly detection on SDN telemetry to improve system observability and inform automation and performance improvements.

Grafana Python Anomaly Detection Data Visualization Linux

Data Analyst

RSGV Services

Jun 2022 - Aug 2023 (1 year 2 months)

Automated data extraction and cleaning with SQL and Python to reduce manual effort by 30%, built Tableau and Power BI dashboards for real-time monitoring, and developed churn models that improved retention efforts by 10%.

Tableau Power BI SQL Python A B Testing Data Cleaning Dashboarding

Data Systems Analyst

GOAT Interactive

Sep 2017 - May 2022 (4 years 8 months)

Automated system log parsing and built real-time monitoring dashboards, improving threat detection efficiency by 40% and reducing mean time to resolution by 25%.

Monitoring Linux Scripting Root Cause Analysis Alerting Dashboarding