Abhishek Konda

@MobiKwikSWAT @_NorthernArc - this is illegal & breach of privacy. You calling my friends, relatives & family.

@AddictAnalytics Hi Abhishek! We've sent you a response via DM regarding your query. Please refer to your messages for further details. Thank you! i.ki.show/E994AE09A8

The recovery agent of MobiKwik, using number +91 81083 72941, is continuously calling me, my family, and even my relatives, causing severe harassment. They are calling even on Sundays and have illegally accessed my personal contacts, which is a serious violation of privacy.

@MobiKwik @MobiKwikSWAT DM sent.

@AddictAnalytics Hi Abhishek! Please DM @MobiKwikSWAT, our dedicated support handle along with a brief description of your concern and registered wallet details. They will review your issue and get back to you.

@MobiKwikSWAT Multiple calls to my friends, family & relatives.

@AddictAnalytics recordings or screenshots, where someone claiming to represent MobiKwik has behaved inappropriately. Please send the details to feedback@mobikwik.com so we can take appropriate and prompt action. i.ki.show/E994AE09A8 (2/2)

@MobiKwikSWAT @MobiKwik @PiramalFinance @PiramalFinCare - he is telling he is calling from piramal finance. @PiramalFinance - this is illegal

@MobiKwikSWAT @MobiKwik @PiramalFinance - The recovery agent of MobiKwik, using number +91 81083 72941, is continuously calling me, my family, and even my relatives, causing severe harassment. They are calling even on Sundays and have illegally accessed my personal contacts.

@MobiKwikSWAT @MobiKwik @PiramalFinance This kind of unethical recovery practice is unacceptable. Kindly take strict action immediately.

stop wasting months learning sql i learnt it thrice because of the wrong learning approach you just need to master the 12 highly important sql topics i know it's the toughest tool to learn & it'll haunt you till the end these topics have high chances of coming in interviews and you’ll definitely use them every single day in a real job just focus on these 12 topics: → join & their types: inner, left, right, full, self, cross if you can't connect tables, how will you work at your first job? → window functions: row_number, rank, dense_rank, lead, lag use these to compare rows & handle complex rankings favorite topics for interviewers → case when: the only way to build custom logic & bucket your data on the fly also helpful to turn the columns into rows (this comes in interviews) → group by & aggregations: if you can’t summarize data, how will you know what is happening → common table expressions (ctes): stop writing unreadable subqueries instead use ctes to make your code look professional → data cleaning: coalesce, cast, trim, replace real-world data is disgusting & full of nulls learn how to fix it before you analyze it → date & time functions business questions are always time-based master these or your reports will be useless → union vs union all: know when to stack data & when to avoid duplicates at all costs most probably, this will come in interviews → filtering logic (where vs. having): if you don’t know the difference your results will always be wrong & you won't know why → subqueries: know when they are necessary & when they are just killing your performance → types of sql language: this comes under the theoretical part but this might come in interviews → logic operators: and, or, in, between the bread & butter of every single query you will ever write this might sound like a lot but to be honest, if you take 90 days challenge, you can easily master them stop trying to learn everything at once master these & get at least eligible for interviews & projects because these topics will always be going to be in your queries i'm dropping an entire roadmap for sql + list of free resources & platforms to practice ⬇

These sites are essential for Data Analysts 1. Mockaroo (mockaroo.com) → generates realistic test data in seconds. I used to spend hours creating fake datasets to practice with. This thing spits out thousands of rows based on whatever parameters you need. 2. SQL Fiddle (sqlfiddle.com) → test your queries before running them on actual data. Saved me from crashing our database more times than I care to admit. 3. Regex101 (regex101.com) → makes regular expressions actually make sense. That alone is worth it. I used to copy paste regex patterns and pray they worked. 4. Our World in Data (ourworldindata.org) → clean, reliable datasets on basically everything. When your boss asks for "industry benchmarks" at 4pm, this is where you go. 5. Datawrapper (datawrapper.de) → creates charts that don't look like they're from 2003. Your stakeholders will think you hired a designer. 6. Mode Analytics (mode.com) → runs SQL, Python, and R in the same place. No more switching between five different tools to finish one analysis. These tools don't make you a better analyst, they just stop you from wasting time on things that shouldn't take time in the first place. Thanks to Goodness Nwadibie for sharing, I hope it helps beginners in DA.

Are you jobless? This AI agent will get you a job! We built this AI agent which finds companies for you (using @ExaAILabs) and applies to them on your behalf (using @browserbase)

Wow. Listen to this.

"Cancer is so easily cured it's not even funny"

The richest people in the world are quietly switching to flip phones. Not because they’re old. Not because they hate technology. But because smartphones are destroying something far more valuable than money. Most people won’t realize it until it’s too late. At a private dinner, a banker friend of mine noticed something strange. Every billionaire at the table pulled out a button phone. No apps. No notifications. No glowing screens. It felt less like coincidence and more like a silent agreement. He finally asked: “Why don’t any of you use smartphones?” The room went quiet. Then someone said: “Because every notification is someone else controlling my mind.” To them, smartphones aren’t tools anymore. They’re attention leaks. Every buzz pulls focus. Every scroll fragments thinking. Every algorithm trains reaction instead of intention. And attention is the rarest currency on Earth. One billionaire said something chilling: “Money is easy to make again. Focus is not.” He explained that once attention breaks, decision quality collapses. And bad decisions destroy fortunes faster than bad markets. So they simplified. Old phones. One function. Call. Message. Off. No feeds competing for dopamine. No endless mental noise. No invisible manipulation. Just silence, on command. Ironically, the wealthier they became, the less technology they personally touched. Their assistants manage screens. They manage thinking. Because power isn’t access to information—it’s control over your inner world. One investor admitted: “Quitting my smartphone lowered my anxiety more than therapy.” Not because life became easier, but because his mind finally stopped being pulled in 100 directions. He could hear his own thoughts again. Meanwhile… Most people wake up and touch their phone before touching their own awareness. News. Fear. Comparison. Noise. The mind gets hijacked before the day even begins. The elite understand something most never learn: If you don’t decide how your attention is used, someone else will decide for you. And they will profit from it. This is why flip phones became a status symbol. Not because they’re cheaper, but because they signal independence. “I choose when I connect.” “I choose when I consume.” “I choose when I disappear.” Real luxury isn’t faster internet. It isn’t the newest device. It isn’t constant access. Real luxury is mental silence. Undisturbed thinking. And time with yourself. That’s the upgrade money can’t buy—unless you protect it. That’s why 2 Rules of Michael Saylor’s (@saylor) 10 Rules for Life hit so hard: Focus your energy Guard your time [see the full 10 + 2 pinned to my profile] Assuming you’re not ready to ditch the smartphone yet, here’s how to reclaim focus and turn X into your superpower: • No more doom scrolling or rage bait—mute, block, curate Lists for signal only. • Use search intentionally: Dive into inflation, taxes, Bitcoin strategies instead of reactive feeds. • Set strict notification rules and time blocks. Reading the right things catapults you toward financial independence. Grab “The Millionaire Next Door” and “The Bitcoin Standard” (free audiobook on YouTube). Want to dig deeper on why digital minimalism is the real power move? Ever heard of Cal Newport’s 2019 book Digital Minimalism: Choosing a Focused Life in a Noisy World? This builds on his earlier ideas from Deep Work (focused, high-value effort) and tackles how constant digital noise—smartphones, apps, notifications, social media—fragments attention, spikes anxiety, and erodes meaningful living. Core Definition of Digital Minimalism Newport defines it as: A philosophy of technology use in which you focus your online time on a small number of carefully selected and optimized activities that strongly support things you value, and then happily miss out on everything else. Thread 🧵

How evolved is #TableauNext ? I feel it is at a rookie stage. #datafam

Hi All, I have been away for a long time. let's reconnect to share & understand more about Tableau Visualization.

unfollow everyone and start following chinese computing researchers and every account working on/with Tenstorrent. trust me, it's an amazing experience i'm having on my feed

🥲 Reality of learning data engineering (no one tells you this) When you start learning, you all get excited about learning data engineering 😈 You find roadmaps, we start searching for courses, we bookmark all posts on LinkedIn...💾 You do everything except learning data engineering.🔁 But it's not just about learning Python, SQL, Spark, Airflow... It's - Googling/ChatGPT the same error for 2-3 hours - Thinking, is this the right path? - Seeing someone post "Just got an offer" while you are still stuck on Python basics - Feeling like you'll never know enough But you know what? Every data engineer you see out here went through the same journey as you The only difference is They didn't quit! So hang in there, you will find your way. And if you are interested in learning core skills of Data Engineering in one place and actually prepare for an interview with hands-on, then I have something for you 6 Courses, 16+ Projects, Notes, and a Complete platform to practice for interviews Check below for more details ⬇️

How I’d Learn Data Engineering in 2025 (If I Were Starting Today) No fluff. No 10-hour YouTube rabbit holes. No course-hopping. Just one clear roadmap: the same one we follow at DataVidhya. 🧱 Phase 1: Get Strong at Python & SQL These are your bread and butter. Learn just enough Python to write clean scripts, work with APIs, and automate things. Master SQL joins, aggregations, and window functions. 🧩 Inside our program: You get hands-on coding with real interview-style SQL and Python problems. 🚀 Phase 2: Build an End-to-End Data Pipeline Not a toy project. Something you can actually explain in an interview. - Ingest raw data (APIs / CSVs / streaming) - Store it in cloud storage (S3) - Transform it (dbt / Spark) - Load into warehouse (Snowflake) - Visualize it (Looker Studio) 📦 What we give you: ✅ Real-world datasets ✅ Pre-configured cloud environments ✅ Projects like Spotify, Zomato, and Netflix ✅ Step-by-step videos + guided GitHub repo 🔁 Phase 3: Learn Airflow the Right Way Most beginners treat Airflow like a fancy cron job. But it’s the backbone of real pipelines in production. ⚡ Phase 4: Add Spark & Scale It This is where you go from “learning” to “engineering.” We teach Spark not just for syntax, but to handle distributed data, optimize joins, and manage memory. ⚡ In Code+, you can write and run PySpark code directly in the browser with test cases, no local setup, no EMR headaches. 💼 Phase 5: Get Interview-Ready It’s not about how many tools you know; it’s how well you can explain your decisions. We focus on questions like: - “Design a scalable pipeline for 1B records/day” - “How would you detect and handle data quality issues?” - “What happens when your job fails?” 🎯 TL;DR: What We’ve Built at DataVidhya: ✅ Learn the tools that matter (Python, SQL, dbt, Airflow, Spark) ✅ Build 16+ end-to-end projects ✅ Practice on a real coding platform — not just videos ✅ Prepare for interviews with our curated workbook