Real Estate Data Management

Saketh Boddu

973-***-**** ***********@*****.*** www.linkedin.com/in/sakethboddu247

EDUCATION

Rutgers University-New Brunswick Piscataway, NJ

Bachelors of Science in Computer Science and Economics Expected Graduation May 2027 Relevant Courses: Data Structures, Computer Architecture, Data Management, Microeconomics, Macroeconomics Clubs/Student Organizations: USACS, HackRU, Cybersecurity Club, Mobile App Development Club, Club Basketball EXPERIENCE

Catalyst XL Remote

Fellow (Swift) Dec 2024-Mar 2025

● Selected for a multi-month startup program that unites college students worldwide to immerse in the dynamic startup environment.

● Participated in entrepreneurship workshops, gaining valuable insights into the process of launching innovative ideas and further enhancing knowledge in the startup ecosystem.

● Created and presented investment materials such as pitch decks, summaries, and market analyses, gaining hands-on experience in investment thesis development and deal sourcing

● Partnered with a Catalyst Fellow to develop RuEating, an iOS dining hall menu app for Rutgers, using Swift, SwiftUI, SwiftData, and SwiftSoup to help students track meals and nutrition. SMR Realty LLC Morris, NJ

Web Development Intern (JavaScript, React, Tailwind CSS)May 2024-Aug 2024

● Collaborated on the design and development of a responsive real estate website using React and Tailwind CSS, contributing to a 40% increase in client inquiries.

● Helped build a property listing system with search and filter functionalities, improving user experience and engagement by 30%.

● Integrated the Google Maps API to visualize property locations on interactive maps, providing users with a more intuitive way to explore listings and enhancing navigation and usability.

● Collaborated with real estate professionals and stakeholders to refine the platform’s features, ensuring alignment with business goals and user needs.

CyberStart America Remote

Cybersecurity Analyst (Python, SQL, Linux)Oct 2023-Feb 2024

● Earned semifinalist recognition in a competitive cybersecurity program, utilizing essential security concepts to navigate through interactive challenges and real-world attack simulations.

● Applied knowledge in coding, ethical hacking, digital forensics, reverse engineering, and web exploitation to analyze vulnerabilities, investigate security threats, and develop strategic solutions.

● Leveraged Linux and bash scripting to automate security testing processes and manipulate system files, enhancing efficiency in security analysis tasks.

● Automated security analysis using Python scripts and executed SQL injection attacks to identify and exploit database vulnerabilities in simulated environments. PROJECTS

NFL Football Game Predictor(Python, Pandas, NumPy, BeautifulSoup)

● Developed an NFL game prediction model using Python and machine learning, achieving 75% accuracy on historical game data (team stats, player performance, weather, and betting odds) of the past 5 years

● Engineered 50+ features from raw datasets, including win streaks, yards per game, turnover ratio, and QB passer rating, using Pandas and NumPy.

● Implemented web scraping using BeautifulSoup which increased model adaptability by 20% and allowed for live team stats and injury reports to be tracked.

● Created data visualizations using Matplotlib to display key metrics such as prediction accuracy, error rates, and model performance over time, helping to identify patterns and areas for improvement in the game prediction model. SKILLS

Languages: Python, Java, JavaScript, SQL, Swift

Libraries & Technologies: Pandas, NumPy, Beautiful Soup, HTML, CSS, AWS, Linux, Tailwind CSS Frameworks: SwiftUI, React.js

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