DATA ANALYST II
FEB 2024 - Current
Financial Data Analytics Professional
Expert in SQL, Tableau, and Power BI, specializing in banking analytics, fraud detection, and credit risk assessment. Skilled in Python, R, and machine learning (scikit-learn, TensorFlow) for predictive modeling, customer segmentation, and credit scoring. Experienced in big data processing with Hadoop and Spark, cloud integration with Azure Data Factory and Snowflake, and automating ETL workflows. Develop real-time fraud alerts and ensure compliance using SAS and SPSS.
DATA ANALYST
Sep 2022 – Jul 2023
I specialize in data analytics for the oil and gas industry, analyzing exploration, drilling, and production data with SQL, Hive, and Snowflake. I develop predictive models in Python and R, focusing on equipment failures and production trends. I design data pipelines with Apache Airflow, Informatica, and Talend, and create real-time dashboards using Tableau, Power BI, and QlikView. I apply machine learning with TensorFlow and scikit-learn to improve drilling strategies. With tools like Hadoop, Spark, and Databricks, I process geophysical data and monitor real-time sensor
DATA ANALYST
May 2021 – Aug 2022
At Vertex Pharmaceuticals, I optimize data workflows and develop predictive models to support drug discovery and clinical research. I build ETL workflows using Azure Data Factory, SSIS, and Databricks, manage data lakes with Azure Synapse, Snowflake, and Redshift, and automate processes with Python, Pyspark, and SQL. I create interactive dashboards in Tableau and Power BI, orchestrate containerized apps with Docker/Kubernetes, and streamline deployments using Jenkins and Azure DevOps. Additionally, I manage big data processing with Hadoop