Razaq Gomma

LinkedIn | rgomma@lion.lmu.edu | 425-243-4025 | Los Angeles, CA

I am a recent graduate from Loyola Marymount University with a degree in Information Systems and Business Analytics. I am an eager learner with an analytical mindset that always strives for efficiency.

Education

Loyola Marymont University

• Major: Information Systems and Business Analytics (B.B.A)
• Graduated 2023

Skills

• Microsoft Office (Excel [Pivot Tables, Formulas, Powe Query, etc.], Powerpoint, Word, Access)
• Amazon Web Services (S3, EC2, DynamoDB, Lambda, CloudFront, API Gateway...)
• MySQL (Window functions, Aggregate Functions, Indexs, Joins, CTE's...)
• Python (Machine Learning, Pandas...)
• Power BI (DAX expressions and integrations)
• Adobe Creative Suites (Photoshop, Premier Pro)
• Wordpress

Projects

Cloud Resume Challenge

• AWS Infrastructure Setup: Configured AWS S3 for hosting a static website, Route 53 for DNS services, and CloudFront for content distribution, ensuring secure access with HTTPS.
• Serverless Visitor Counter: Developed a serverless API using AWS Lambda, DynamoDB, and API Gateway to implement a visitor counter, enhancing practical skills in serverless architecture and NoSQL databases.
• Web Development: Coded and styled a resume in HTML and CSS, integrating a JavaScript function for API calls, and gaining experience in web development and debugging.
• Read more about my process in my LinkedIn blog post

Capstone Project - Understanding and Predicting NBA Arena Attendance

• Data Integration and Management: Scrapped and stored NBA game data from Portland Trail Blazers home games from 2017-2023 from basketball-reference using Python and managed it in a MySQL database on AWS RDS.
• Predictive Model Development: Built and refined a Random Forest Regression model to predict NBA game attendance, considering various factors such as team performance and player availability.
• Visualization and Reporting: Created interactive dashboards in PowerBI to visualize historical trends and model predictions, providing actionable insights for NBA teams.
• Strategic Business Alignment: Aligned the predictive model with NBA teams' strategic goals to maximize attendance, optimize operations, and enhance revenue management.
• My work can be accessed through this GitHub repository

SQL Baseball Analysis Project

• Data Collection: Scraped and integrated batting stats from baseball-reference and baseball savant, focusing on high-pressure game situations for the SF Giants 2022 season.
• SQL Analysis: Performed SQL analyses in Jupyter notebooks utilizing views, CTE's and window functions to evaluate players' clutch performance in critical game moments.
• Actionable Insights: Identified top-performing players in high-pressure scenarios, aiding strategic decisions for player selection and pinch-hitting.
• My work can be accessed through this GitHub repository

Experience

Broadcast Crew and Sports Information Assistant -- LMU Athletics Department

• Contribute to the live stream production of LMU athletics games, as a videographer or on-screen graphics operator
• Operate the scoreboard, assist with stats collection or provide general utility

Meat/Seafood Associate, Cashier -- Sprouts Farmers Market

• Preparing meat and seafood for sale, receiving, stocking, ensuring smooth operations and maximizing sales of the department
• In charge of closing the department at night

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