Real Estate Data Analyst

Akin Aksay

646-***-**** **********@*****.*** www.linkedin.com/in/akin-aksay github.com/aaksay1 Education

Rutgers University New Brunswick, NJ

Bachelor of Science in Computer Science, Minor in Econmics Sep. 2020 – May 2024 3.6/4.0 GPA

• Rutgers Honors College Student

• Rutgers Investing Club and Undergraduate Student Alliance of Computer Scientists Experience

Data Analyst Intern June 2023 – Aug. 2023

Century 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. 2018

Zirve 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 company’s remote repository

• Managed the repositories for the company and added documentation when necessary Projects

Dining 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 information

2 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 insights

Stock 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 parameters

Technical Skills

Languages: Java, Python, C, SQL, R, HTML/CSS, Gauss Frameworks: React, SpringBoot, JavaFX, WordPress

Developer Tools: Git, Bitbucket, Android Studio, VS Code, Visual Studio, PyCharm, IntelliJ, Eclipse Libraries: pandas, NumPy, Matplotlib, smtplib

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