Guillermo Adrianza

Junior Data Analyst | Systems Engineer

Actively looking · Member since 18 Sep 2026

Message

Location: Cabimas, Venezuela

Desired salary: Confidential

Work preference: Remote Only

Experience level: Junior

About

Professional summary

I am a Systems Engineer and Junior Data Analyst based in Cabimas, Zulia, Venezuela. I have practical experience using Python, SQL, relational databases, data cleaning, data processing, and process automation.

I enjoy transforming raw information into useful insights through data analysis, visualization, pattern evaluation, and anomaly detection. My academic work has included collecting, processing, and analyzing sensor and network traffic data to identify performance patterns and security-related anomalies.

I have developed Python scripts for data extraction, cleaning, processing, and automated report generation. These automations reduced manual review time by more than 98% in my data analysis project work.

I have hands-on experience building a desktop network traffic monitoring application with C# and .NET. The project included packet capture, MySQL data storage, adaptive anomaly detection, dashboards, protocol and IP filters, alerts, and report exports.

I bring analytical problem-solving, technical documentation, requirements analysis, testing, validation, and Agile methodology knowledge. I am interested in Junior Data Analyst, Junior Data Engineer, AI/ML, and automation opportunities.

I am available for immediate incorporation and committed to continuous learning. I work well in teams, communicate technical concepts clearly, and pay close attention to detail.

Notice period: Immediate

Tech stack & tools

Working toolkit

Experience

Career history

Academic Systems Engineering Project Developer Instituto Universitario Politécnico "Santiago Mariño"

2026 – 2026

Developed a C#/.NET desktop application for real-time network traffic capture, analysis, and visualization as part of a Systems Engineering academic project.

Implemented packet capture with SharpPcap and persistent data storage in MySQL. Built adaptive anomaly detection using averages, standard deviation, and dynamic thresholds, with protocol and IP filtering, anomalous pattern identification, and security event alerts.

Designed dashboards for speed, latency, bandwidth, and traffic by protocol. Added history management and report exports to PDF, Excel, and CSV, and performed performance and integration testing.