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Click here or scroll down to respond to this candidateCandidate's Name
PHONE NUMBER AVAILABLE EMAIL AVAILABLE LINKEDIN LINK AVAILABLE github.com/aaksay1 EducationRutgers University New Brunswick, NJBachelor of Science in Computer Science, Minor in Econmics Sep. Street Address May 2024 3.6/4.0 GPA Rutgers Honors College Student Rutgers Investing Club and Undergraduate Student Alliance of Computer Scientists ExperienceData Analyst Intern June 2023 Aug. 2023Century 21 Conducted data analysis on real estate market trends, property sales, and customer demographics using Python and R, processing datasets exceeding 10,000 records Developed and maintained Excel spreadsheets and databases, managing over 100 unique data entries per week with SQL for database management and manipulation Conducted exploratory data analysis on real estate datasets spanning 6 months, extracting insights to inform strategic decision-making processes and identify market opportunities Software Engineer Intern Jan. 2018 Feb. 2018Zirve Software Worked in a team to create tax and corporate accounting software using Java in the backend Utilized Spring Framework to optimize the tax calculation algorithm, achieving a 20% reduction in computation time and enhancing software efficiency Completed assigned duties such as debugging and actively pushing code into the companys remote repository Managed the repositories for the company and added documentation when necessary ProjectsDining Hall Webscraper Python, Java Created a robust Java-based webscraping solution to extract real-time meal information from Rutgers dining halls Designed a database system to efficiently store and manage the extracted meal data Utilized Python to automate personalized meal notifications via SMS, enhancing user experience by delivering timely and relevant dining information2 Player Chess Game Java, Android Studio Developed a sophisticated chess game on Android Studio for an immersive two-player experience on a single device Implemented advanced features such as game recording and playback functionality, allowing players to review and analyze their matches Integrated an AI module that intelligently suggests moves, enhancing the gaming experience and providing strategic insightsStock Screener Python Engineered an intelligent stock screener using Python, Yahoo Finance, and Pandas Library Implemented customizable filters, empowering users to make informed investment decisions based on their specific criteria Enhanced decision-making with a predictive model that assesses whether a stock is a favorable buy according to user-defined parametersTechnical SkillsLanguages: Java, Python, C, SQL, R, HTML/CSS, Gauss Frameworks: React, SpringBoot, JavaFX, WordPressDeveloper Tools: Git, Bitbucket, Android Studio, VS Code, Visual Studio, PyCharm, IntelliJ, Eclipse Libraries: pandas, NumPy, Matplotlib, smtplib |
