Brian Honea

Detail-oriented recent graduate with strong skills in research, technical analysis, and problem-solving. Proficient in big data technologies and adept at assembling data pipelines using Python and SQL. Ready to apply these competencies in a dynamic data engineering role to deliver impactful results.

• Carbon Emissions Analysis, SQL: Led the development of a comprehensive SQL database to analyze carbon emission trends in the automotive industry. Designed database schema and ER Diagram. Implementing tables, complex queries, procedures, triggers, and functions, resulting in data driven insights that supported environmental solution brainstorming and decision-making.
• Big Data Analysis: Spearheaded a big data project leveraging the Hadoop Ecosystem to execute end-to-end ETL processes. Extracted data using a Python-based API and ingested it into HDFS servers with Apache Flume. Conducted data analysis and processing with HiveQL and Apache Spark to derive actionable insights, showcasing expertise in big data technologies and scalable data pipelines.
• Stock Market Prediction Model: Led a stock market prediction project using Python and Yahoo Finance API to gather historical stock data. Cleaned and preprocessed the data for machine learning, building a classification model to predict stock movement ('rise', 'fall', 'neutral').
• Airbnb Data Science Predictions and Visualizations: Conducted data analysis on an Airbnb dataset using pandas, scikit-learn, and matplotlib to identify market trends and optimize rental property investments. Delivered insights on high-yield investment locations, enhancing the decision-making process for property managers.
• COVID 19 Time Series Analysis: Performed analysis on COVID-19 loan data, performing EDA and predictive modeling to evaluate the best regression model.