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I would love to hear insights on this So I am at an ideastion stage of this startup which builds a easy to use scouting mechanisms for professional athletes with proper data analytics to prevent bias which is seen a lot on today's day an age It would

I See a lot of potential in india's sports tech industry it is estimated to be of 3.5 billion dollars till 2027 I had an idea regarding the same Idea- ____ is a fitness device that will help players,and coaches in tracking their performance(detailed

I've noticed that many players suffer injuries during training. My idea is to create a virtual reality platform for athletes to improve their skills and practice efficiently from home. Additionally, incorporating wearable insoles with sensors can tra

I was working in one of the organisations where I lead the team of 200+ data collectors, 2 data analysts, 2 Field coordinator. I collected around 1 lakhs plus data for organisations. I also developed three government web-app currently operated by th

Here are some essential SQL topics for data analysts: 1. Basic Queries: SELECT, FROM, WHERE clauses. 2. Sorting and Filtering: ORDER BY, GROUP BY, HAVING. 3. Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN. 4. Aggregation Functions: COUNT, SUM, AVG, MIN, M

Hey! I’m building a new-age esports & gaming platform focused on solving 3 core problems faced by players in games like Free Fire and ScarFall: 1. Slot Shortage in free tournaments 2. Lack of Exposure for talented players 3. Unaffordable Paid Tourna

🔍 Decoding Profitability: How to Analyze Profit Pools! 💰📊 Understanding business profitability starts with: 1️⃣ Identifying ‘pure’ players – Those focused on a single activity (e.g., Intel). 2️⃣ Recognizing mixed players – Companies handling mul

Legacy automaker TVS Motor and Bhavish Aggarwal-led Ola Electric have emerged as the top two players in India’s fast-growing electric two-wheeler (E2W) market for April, overtaking Bajaj Auto in total registrations. According to Vahan data as of May

❣️ Why are AI Systems Being Taught to Understand Emotions? The market for AI applications that recognize human emotions is growing rapidly. By the end of 2024, it is projected to exceed $28 billion. In addition to major players like Amazon, Microsof