AI/ML Engineer & Data Engineer

Architected real-time streaming integration using Azure Functions and Kafka, processing 2+ GB of manufacturing data daily and reducing data availability lag from 4 hours to 2 minutes (98% latency reduction). Optimized Azure Cosmos DB queries and indexing strategies, accelerating report runtimes from 5 minutes to 10 seconds (97% improvement). Engineered ETL pipelines using Python, SQL, and AWS Lambda to ingest manufacturing data into Snowflake, maintaining 99.9%+ pipeline availability through automated monitoring and proactive failure resolution. Designed dimensional data models in MS SQL, MariaDB, and PostgreSQL for centralized OLAP warehouses. Built CI/CD workflows in Azure DevOps reducing deployment failures by 80%. Created internal web tooling using React and Power BI visualizations, reducing time-to-action by 40%. Integrated AI-driven automation using LLM APIs to improve task efficiency by 30%. Collaborated with product managers and BI stakeholders to define data product requirements and establish data governance.

Remotely provisioned and troubleshot Residential ONTs using various query tools. Liaised issue escalations between stakeholders. Improved communication between Account Managers, Customer Service, and Tier 2 teams. Created data visualizations webpage to provide insights on peer performance, leading to a 25% increase in daily solved tickets.

Assisted instructor in leading a 24-week Data Analysis and Data Visualization Bootcamp in partnership with Penn State University. Provided tutoring and support on Python, Excel, Pandas, and other Data Science tools.

Managed data integration into CRM systems including data quality checks, resulting in a 60% increase in lead generation. Ran usage reports on web services to promote adaptation or design cost-efficient operations saving thousands of dollars. Troubleshot issues and trained employees on best practices.

Completed 650+ hours in Data Science/Machine Learning Career Bootcamp. Developed a capstone project creating a predictive model for financial complaints involving data cleaning, model training, comparison, and API design hosted via Docker.

Created an engaging classroom environment. Designed a Geometry course using test/quiz score metrics to generate alerts for irregular patterns, achieving a 100% pass rate.

Part-time Teacher Assistant for Physics Labs. Trained college students in data analysis and deductive reasoning to prove physical laws. Updated grading rubrics based on student performance analysis.

Part-time Teacher Assistant for intro level physics labs using Investigative Science Learning Environment (ISLE) techniques. Worked with researchers to provide feedback and metrics on student performance and interest.