Andrew Daly

Phone: (610) 609-9336 | Email: adaly2001@gmail.com

LinkedIn: Andrew Daly | GitHub: Andrew Daly

EDUCATION

The University of Iowa
Graduated: May 2024
B.B.A. Business Analytics and Information Systems
Economics Minor
Cumulative GPA: 3.77 / 4.00
Major GPA: 4.00 / 4.00

TECHNICAL SKILLS

Programming / Tools: Python, R, SQL, JavaScript, Azure, GCP, AWS

Methodologies: Machine Learning, Deep Learning, Data Modeling, Data Wrangling, Feature Engineering, Predictive Modeling, A/B Testing, Statistical Analysis, Data Visualization, Model Deployment, Business Forecasting, Causal Inference

Certification: Azure Fundamentals

PROJECT EXPERIENCE

Automated Decoder Application
• Developed a Python application to automate the process of gathering vehicle information from the NHTSA database.
• Leveraged Selenium for web scraping to automate data collection on vehicle information, enhancing data collection efficiency for Brown & Riding Insurance company employees by over 1,500%, which exponentially increases turnover.
• Implemented Flask to create a user interface for inputting VINs and retrieving detailed vehicle data.
• Employed Pandas for data transformation and processing, enabling real-time data validation and error handling.
• Integrated comprehensive error handling and data quality checks to ensure accurate and reliable data ingestion.

Fanatics Sentiment Analysis
• Conducted sentiment analysis for Fanatics to understand brand perception on social media platforms.
• Utilized the Twitter API to collect real-time data related to Fanatics, and applied natural language processing techniques.
• Investigated correlations between Twitter sentiment and sentiments expressed in user reviews from web scraping, providing valuable insights into customer perceptions.
• Employed text mining techniques and visualization to uncover recurring topics and sentiments in user discussions.

Airbnb Data Analysis
• Conducted a comprehensive analysis of Airbnb data in New York City using Python, Pandas, and Matplotlib. • Ingested and cleaned large datasets to assess pricing trends across boroughs, identifying top neighborhoods and optimizing listing strategies based on data-driven insights.
• Modeled data to analyze room type dynamics and the impact of minimum stay durations on pricing, utilizing statistical methods to derive significant findings.
• Developed visualizations to communicate findings, providing actionable insights for property owners and renters.

Sleeper: NFL Injury Visualization
• Developed a dynamic web application using React to visualize and track injuries of NFL players, enhancing the understanding and analysis of injury patterns over seasons.
• Utilized d3-scale for color scaling to visually represent the severity of injuries on a human silhouette, improving immediate visual feedback on injury hotspots.
• Integrated data from multiple JSON sources (injuries.json and players.json) to provide a comprehensive dataset of player injuries and personal information.
• Implemented a sophisticated search functionality to filter players by name using React's state management, allowing users to interactively select players and view specific injury data.
• Created an interactive SVG overlay on a player silhouette to pinpoint injuries using coordinates mapped to body parts, facilitating an intuitive graphical user interface.
• Employed lodash for enhanced state handling and performance optimizations, ensuring efficient data manipulation and rendering of components.
• Designed a user interface that allows for quick toggling between players and injury details, featuring a real-time updating mechanism to reflect selected data.
• Constructed a detailed injury log that displays occurrences, specific injury sites, and game status, offering detailed insights into player readiness and historical injury data.

A/B Testing and Statistical Analysis
• Implemented an A/B testing framework to evaluate and optimize user engagement strategies.
• Applied statistical techniques such as t-tests, chi-square tests, and Q-Q plots to validate the significance of results.
• Utilized R libraries like ggplot2 and dplyr for data visualization and analysis.
• Created visualizations to communicate findings effectively, ensuring data-driven decisions and optimizing marketing strategies.

Anomalies in Canadian Hockey Players
• Conducted an analysis to identify anomalies in the performance data of Canadian hockey players.
• Gathered and cleaned large datasets on player performance metrics.
• Applied machine learning algorithms to detect outliers and anomalies in the data.
• Visualized the findings to highlight performance anomalies and provided actionable insights for coaching staff.

WORK EXPERIENCE

Reinsurance Broker Intern | Lockton Re | Philadelphia, PA Summer 2023
• Conducted catastrophe risk tolerance analysis for 106 insurance companies, learning about key risk factors and underwriter processes.
• Analyzed and modeled large datasets to support risk assessments and enhance client understanding.
• Created and processed two submissions from raw data, transforming it into actionable insights for client presentations.
• Developed data-driven reports, effectively communicating findings to senior leadership, which in turn, helped them nurture client relationships by enhancing the clients understanding and comfort with risk management strategies.

Accounting Intern | Essential Utilities (Aqua America) | Bryn Mawr, PA Summer 2022
• Assisted and performed accounts payable and treasury department functions.
• Facilitated company transition to the SAP application and helped management resolve systematic disruptions.
• Processed over 30 invoices daily and organized an online record of various paper documents dating back to 2015.

Front Desk Associate | Ellis Athletic Center | Newtown Square, PA Summer 2022
• Improved and aided high-quality standards for member experience.
• Documented and assisted new member registration and sold four new memberships.

Landscaper | Dan Boyle Contracting | Havertown, PA Summer 2021
• Lawn mowing, edging, trimming, mulching, and hedging in all weather conditions.

Valet, Busser, Runner, (Clubhouse Staff) | Llanerch Country Club | Havertown, PA June 2018 - March 2020
• Parked cars, kept track of keys, and assisted patrons respectfully.
• Ran food to tables, kept track of customer orders while being processed.
• Banquet set up and support.