Get live statistics and analysis of 𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰's profile on X / Twitter

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰@techwith_ram

Senior Data Scientist. Daily Dose AI/ML. Remote Employee. IIITB. Upcoming product: @datavistaAI

397 following4k followers

Archetype analysis

The Curator

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮 is a data scientist who turns complex AI/ML knowledge into daily bite-sized wisdom for his community. With a relentless tweeting habit and a passion for sharing educational resources, he’s building a treasure trove of insights for fellow tech enthusiasts. When not deep in code, he’s nurturing his upcoming product, @datavistaAI, aiming to make data more accessible.

Recent engagement

Impressions

18.8M2.6M

Estimate earning$3531.01

Likes

2.6k99

15%

Retweets

12k1.3k

71%

Replies

26545

Bookmarks

2.1k-56

12%

Get more insights about 𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰 with SuperX

🔥 Roast

With a tweet count like that, you could probably single-handedly keep the internet’s servers running—just imagine the power outage if you ever decide to take a day off tweeting!

⚡️ Nice achievement

Creating the authoritative 'Top 50 LLM Interview Questions' thread that garnered over 1.2 million views and became a go-to resource for data science job seekers.

🌟 Life's purpose

To democratize AI/ML expertise by curating and disseminating valuable educational content, helping others grow their skills and confidence in an increasingly data-driven world.

💬 Values and Beliefs

Believes that knowledge should be freely shared and that the AI/ML community grows strongest when individuals actively support each other's learning journeys. Values clarity, accessibility, and practical learning over hype.

💪 Strength

Exceptional at selecting and organizing high-value AI/ML resources, turning complex topics into digestible threads and posts that engage both novices and experts alike.

🫣 Weakness

Sometimes floods the timeline with content, which can overwhelm new followers or drown out more spontaneous, personal engagement.

⚡️ Growth audience tips

Try mixing in more interactive content like polls or Q&A sessions to complement your resource sharing. Engaging directly with followers will boost your presence and create a tighter community around @datavistaAI.

💁 Bonus

Fun fact: 𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮 has tweeted over 13,900 times—proof that when it comes to sharing knowledge, he doesn’t hold back.

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰@techwith_ram · Jun 04

Top 50 LLM Interview Questions :

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰@techwith_ram · Feb 07

This Book is with me in PDF format. Can't attach here. Comment "Interested", will send you via DM.

358k

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰@techwith_ram · Mar 09

88k

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰@techwith_ram · Jun 25

AI/ML Engineering Books: Read these books (top → bottom) in this order.

81k

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰@techwith_ram · Apr 15

ML Basics - The Encoder

64k

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰@techwith_ram · Jun 21

Quantitative Economics With Python

87k

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰@techwith_ram · Jun 03

MIT's Matrix Calculus for Machine Learning.

53k

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰@techwith_ram · Jun 02

Anyone trying to deeply understand Large Language Models. Checkout Foundations of Large Language Models by Tong Xiao & Jingbo Zhu. It’s one of the clearest, most comprehensive resource.

30k

𝗿𝗮𝗺𝗮𝗸𝗿𝘂𝘀𝗵𝗻𝗮— 𝗲/𝗮𝗰𝗰@techwith_ram · Apr 11

𝗠𝗮𝘁𝗵 𝗙𝗼𝗿 𝗠𝗟(𝗟𝗶𝗻𝗲𝗮𝗿 𝗔𝗹𝗴𝗲𝗯𝗿𝗮 𝗣𝗮𝗿𝘁 -𝟭) Before diving deep into ML models, it’s crucial to get comfortable with the math that powers them. In this first part of my Linear Algrebra series, I will be revisiting the essential linear algebra operations. 🧵👇