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Data Analytics
Data Analyst at BlueMetrics who built a risk-scoring pipeline that sends daily alerts for proactive account review.
BrazilData Analytics at BlueMetrics
Designed and developed large-scale data pipelines in Python processing nearly 100 million records, storing outputs on Amazon S3 and loading into Amazon Redshift. Led delinquency prediction modeling and built automated ETL pipelines for risk scoring and daily alerts.
PythonSQLETL PipelinesAWS RedShiftAWS LambdaXGBoostSisenseTableau
Conducted experimental phase of PhD research in time series analysis, designing and implementing a real-time data acquisition pipeline using vibration sensors. Built end-to-end data pipelines including ingestion via MQTT, storage, preprocessing, and transformation of large-scale time series datasets.
PythonMachine LearningMQTTTime series Forecasting
Developed and maintained core functionalities of an ERP system with focus on data management and integrity. Designed and optimized complex queries for large transactional datasets using SQL Server and PostgreSQL, and developed mobile applications integrated with backend APIs.
C#Microsoft SQL ServerPostgreSQLAgileScrum
PhD in Applied Computing with focus on Artificial Intelligence, completed in 2024.
PhD in Applied Computing with focus on Artificial Intelligence, completed in 2024.
Master of Science in Applied Computing with focus on Artificial Intelligence, completed in 2020.
Master of Science in Applied Computing with focus on Artificial Intelligence, completed in 2020.
Bachelor of Science in Information Systems, completed in 2014.
Bachelor of Science in Information Systems, completed in 2014.
Profile sourced from Himalayas.