Open to opportunities

Michael Scott

@michaelscott1

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Result-driven Data Scientist specializing in predictive analytics and machine learning.

United States

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What I'm looking for

I am looking for a role that fosters innovation, collaboration, and growth in data science and machine learning.

I am a result-driven Data Scientist with over 6 years of experience in statistical modeling and machine learning. My expertise lies in anomaly detection and predictive analytics for industrial applications, where I have successfully scaled and deployed models that achieved a 30% boost in early fault detection accuracy and a 20% reduction in operational downtime.

Throughout my career, I have honed my skills in Python, pandas, scikit-learn, Keras/TensorFlow, and PySpark, complemented by hands-on experience with Databricks, AWS SageMaker, and Docker. I excel in developing predictive analytics pipelines and optimizing data architectures, which has allowed me to lead teams in implementing GDPR-compliant data governance practices and enhancing system efficiencies.

My professional journey has equipped me with a strong foundation in MLOps and data engineering, enabling me to architect cloud-native solutions and streamline data processing workflows. I am passionate about leveraging data to drive impactful decisions and continuously seek opportunities to innovate and improve processes.

Experience

Work history, roles, and key accomplishments

Sr. AI Engineer

Sr. AI Full Stack Engineer

Deloitte

Jan 2019 - May 2022 (3 years 4 months)

Architected a cloud-native data lake on Azure, developed ELT pipelines for real-time streaming data, and enhanced BI reporting with Power BI dashboards. Implemented A/B testing frameworks to improve decision-making processes.

Azure Databricks Kafka Power BI A B Testing Data Lake

Software Engineer

ElevenLabs

Sep 2017 - Jan 2019 (1 year 4 months)

Designed ETL pipelines for processing unstructured data and deployed predictive models on Databricks for financial document analysis. Improved system scalability by migrating workflows to a distributed architecture on Azure.

ETL Databricks Azure Predictive Analysis Financial Analysis Scalability

Software Engineer

JP Morgan Chase

Oct 2014 - Sep 2017 (2 years 11 months)

Developed SQL-based backend systems integrated with Tableau for financial analytics reporting. Optimized database queries to reduce latency across key operations systems.

SQL Tableau Backend Systems SQL Optimization Financial Analytics RESTful APIs Golang

System Integrator

Bank of America

Oct 2014 - Sep 2017 (2 years 11 months)

Built a HIPAA-compliant data lake on AWS S3, redesigned ETL pipelines using Apache Spark, and migrated legacy systems to modern SQL architectures, improving query performance significantly.