Peter Murphy Email & Phone Number

Boston, Massachusetts, United States

- Created and maintained dashboards using SQL and Retool, providing actionable insights around trading, app usage, and marketing data- Built scalable systems, including supervised machine learning models in Python, to manage risk- Leveraged both domain knowledge and data manipulation in Excel and Python to make recommendations around product positioning.

• Applied thorough understanding of exploratory data analysis, data visualization and machine learning methods in completing over 25 labs and 5 projects during a 480-hour immersive course.
• Utilized data science best practices to solve real-world problems and presented findings to technical and non-technical audiences.
• Created a house pricing model using linear regression wherein I cleaned and analyzed home features data to identify underpriced homes and renovations that would have the most impact on increasing the homes’ values..
• Collected Reddit post data through API calls and developed a Natural Language Processing (NLP) model to classify posts between two subreddit topics (r/mlb and r/redsox), correctly predicting posts with 73% accuracy.
• Collect, extract, query, clean, and aggregate data for analysis
• Gather, store, and organize data using SQL and Git

Boston, Massachusetts, United States

• Managed relationships with four consulting firms who invest $180 billion combined client assets with BlackRock
• Facilitated timely, accurate delivery of investment data; assisted in completion of six RFPs last year
• Organized quantitative and qualitative client data for portfolio manager pitches using Excel pivot tables

Boston, MA

Framingham, MA

• Ensure data quality and consistency by conducting regular data exercises
• Conduct phone and web-based research to complete projects
• Accurately enter changes and updates into the database using Microsoft Access

Bachelor Of Science - Bs, Finance, General

Certificate, Data Science

Full-time, 480-hour Data Science Immersive program utilizing a hands-on approach to practice data science and advanced analytics.