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Larry Tijaro

@larrytijaro

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Data Analyst and Machine Learning Specialist delivering fraud and predictive analytics.

Colombia

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What I'm looking for

I’m looking for roles where I can apply Python, SQL, and machine learning to fraud detection and predictive analytics, lead analytics in real production environments, and build dashboards and scalable data transformations in an Agile/Scrum culture.

I’m a Data Analyst with over 10 years of experience in the telecommunications sector, specializing in machine learning models for fraud detection, predictive analytics, and data-driven decision-making.

I lead analytics in 24/7/365 production environments, combining Python and SQL with machine learning and anomaly detection to translate complex business problems into scalable ML solutions. I’m Scrum Master certified and bring a practical, results-oriented approach to feature engineering, model training, validation, and ongoing monitoring.

In my roles, I’ve reduced fraud incidents by 40% and cut critical response time by 50% through automation, process restructuring, and cross-team training. At AB InBev, I supported a multi-country Payables Cashflow initiative by building a unified dashboard and delivering impact pricing and quantity insights to enable decisions across seven countries.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

AB InBev

Jul 2025 - Present (9 months)

Built Big Data data pipelines in Databricks/Azure and automated data transformations with PySpark for a Mexico–Central America payables analytics initiative. Developed unified accounts-payable dashboards (summary-to-SKU) and delivered impact price/quantity/mix and delta analyses to support financial decisions across seven countries.

Pyspark Databricks Microsoft Azure Azure Data Factory SQL Power BI Data Modeling Data Visualization

Fraud Management Specialist

Telefónica Movistar

Sep 2014 - Apr 2025 (10 years 7 months)

Led a 24/7/365 fraud analytics team, developing Python/SQL predictive models to identify network anomalies and power automated Power BI dashboards for C-level decisions. Reduced fraud incidents by 40% and cut critical response time by 50% through automation, process restructuring, and triage/escalation training.

Python SQL predictive modeling Fraud Analytics Anomaly Detection Power BI Automation Agile Scrum

Education

Degrees, certifications, and relevant coursework

Universidad Central

Master of Science in Data Analytics, Data Analytics

Master of Science in Data Analytics with advanced data analysis, predictive modeling, and data-driven decision-making. Emphasis on data pipelines, product performance, and handling large-scale datasets.