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Ernie Baptista

@erniebaptista

Data Scientist at Oddin.gg building real-time anomaly detection and visualization tools for live esports data.

At Oddin.gg, I lead a team of six analysts and establish data reproducibility standards and operational workflows. I also query relational databases with complex SQL and maintain automated pipelines that feed interactive dashboards.

I engineered automated visualization and anomaly-detection tools to process live, imperfect data streams and identify arbitrage opportunities and odds variations in real time.

Previously, as an Esports Trader / Data Specialist at Oddin.gg, I analyzed high-frequency behavioral and odds data and used statistical probability models to adjust live parameters for MOBA and FPS titles. I also directed operational shifts and coordinated incident response during service outages.

At SUNAT, I analyzed enterprise service logs and built weekly monitoring reports, while maintaining and monitoring WebLogic servers and Kubernetes clusters. In research at Universidad Peruana de Ciencias Aplicadas, I trained and evaluated ensemble models to forecast disease outbreaks and published a peer-reviewed paper on the work.

Experience

Work history, roles, and key accomplishments

Current

Esports Team Leader & Data Analyst

Current

Oddin.gg

Apr 2024 - Present (2 years 6 months)

Lead a team of six analysts, establishing data reproducibility standards and operational workflow guidance. Query relational databases with complex SQL and maintain automated data pipelines feeding interactive dashboards to drive business PnL growth.

SQL Amazon Quicksight Grafana Data Pipelines Data Visualization Anomaly Detection Statistical Analysis Team Leadership

Esports Trader / Data Specialist

Oddin.gg

Jun 2023 - Apr 2024 (10 months)

Analyzed high-frequency behavioral and odds data streams in real time, leveraging statistical probability models to adjust live parameters for MOBA and FPS titles. Directed 8-hour operational shifts as Shift Master, serving as primary liaison for B2B clients and cross-functional departments.

Statistical Modeling Real Time Data Analysis Incident Response Client Communication Operational Management

Middleware & Data Pipeline Intern

Superintendencia Nacional de Aduanas y Administración Tribut

Mar 2022 - Jun 2023 (1 year 3 months)

Analyzed enterprise service log data, building weekly monitoring reports and validating data pipeline efficiency across server environments. Maintained and monitored WebLogic servers and Kubernetes clusters, ensuring high system availability and reliable data collection.

Web Logic Kubernetes Data Pipelines Log Analysis Monitoring Linux

Machine Learning Researcher

Universidad Peruana de Ciencias Aplicadas

Mar 2022 - Jun 2023 (1 year 3 months)

Executed end-to-end ML lifecycle: performed EDA, feature engineering, missing value imputation, and model selection to forecast disease outbreaks. Trained and evaluated ensemble models against baseline algorithms, optimizing regression metrics.

Python scikit learn Random Forest EDA Feature Engineering Model Evaluation Research