Aryan Mishra

2026 goal: Building strong foundations in Data Science & AI. Hi X, I’m Aryan, a Data Science student from India , Currently focused on Python, ML, and applied AI through hands-on Kaggle projects. I’ll be sharing structured learnings, projects, and practical insights.

@heynavtoor AI

Everyone is hyped about Claude… but barely anyone knows how to actually use it to replace real work. I collected 700+ mega prompts that turn Claude into a full-blown productivity engine. Comment "AI" and I’ll DM you everything.

@RvrSuram Thank you , I truly appreciate your kind words and encouragement. I’ll continue learning and sharing my journey. 😊

@aryanmdev It's wonderful to see such dedication to learning, Aryan. Keep exploring and sharing your journey; it inspires many. 🌟

Hi Twitter, I’m Aryan, a Data Science student from India 🇮🇳 Learning Python, Machine Learning, and AI while sharing projects and key learnings. Building practical skills through Kaggle and hands-on work.

@PythonPr The output is Odd. The modulo operator checks divisibility by 2, and since 7 is odd, the else condition is triggered.

Python Question / Quiz; What is the output of the following Python code, and why? Comment your answers below!

@thenaijacarguy This distinction is really important. Descriptive statistics help summarize what the data looks like, while inferential statistics let us generalize beyond the sample. Understanding when to use each makes a big difference in real data science projects.

Statistics is divided into 2 major types: - Descriptive Statistics - Inferential Statistics If you’re interested in Data Analytics, you should at least know Descriptive Statistics If you’re interested in Data Science, Machine Learning you should at least know both!

@DailyDoseOfDS_ This visual is very helpful. As someone learning RAG systems, seeing the full open-source stack mapped out like this makes it much easier to understand how the components fit together end-to-end.

The open-source RAG stack (2025):

If you’re learning or working in Data Science, ML, or AI, let’s connect. Follow for regular updates, and feel free to reply with a resource, project, or Kaggle profile worth exploring.

Topics I’ll be posting about: • Python & Data Science fundamentals • Machine Learning concepts • Kaggle notebooks & project breakdowns • Learning resources and lessons learned

2026 goal: Building strong foundations in Data Science & AI. Hi X, I’m Aryan, a Data Science student from India , Currently focused on Python, ML, and applied AI through hands-on Kaggle projects. I’ll be sharing structured learnings, projects, and practical insights.