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💫 I'm Sam, a data enthusiast with a passion for turning code into powerful insights and solutions.

Me

🔍 I specialize in data analysis, machine learning, and predictive modeling—transforming complex data into actionable insights.

💼 My journey as a freelance data scientist has been enriched with projects across diverse domains, from bioinformatics to financial analytics, business intelligence, Geographic Information Systems (GIS) for spatial data analysis, and digital humanities.

🌐 I believe in the power of data to drive valuable insights and solve real-world problems, whether in bioinformatics, environmental science, economics, healthcare, or VR-enhanced learning environments.

📚 I'm committed to continuous learning, staying up-to-date with the latest advancements in data science, artificial intelligence, and emerging trends.

💻 I'm proficient in a wide range of programming languages and tools:

  • Data Science & Analysis: Python, R, SQL
  • Software Development: C++, C#, Lua, JavaScript
  • Web Development: HTML, JavaScript, p5.js
  • VR Development & Simulation: C#, Unity

🤝 I'm open to collaborations and discussions on projects related to data-driven research and innovation in fields like computational biology, social sciences, VR applications in education, and healthcare.

📊 My goal is to make data science and technology accessible and impactful, leveraging their potential to contribute meaningfully across both industry and academia.

  • 📫 Let's Connect! Email Website LinkedIn X (formerly Twitter) GitHub

Sam Shirinnezhad's Projects

gs-chatgpt icon gs-chatgpt

The objective of this project was to conduct a comprehensive analysis of research papers related to ChatGPT by scraping data from Google Scholar. The dataset obtained consisted of numerous research papers covering various aspects of ChatGPT, and the analysis aimed to gain insights into the research landscape surrounding this topic.

reddit-chatgpt icon reddit-chatgpt

This project delves deep into the dynamics of the "ChatGPT" subreddit, utilizing a vast dataset scraped from Reddit, encompassing all posts and comments within the said subreddit. The study meticulously examines various aspects of the data through a multi-pronged analytical approach.

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