Career Why I Love Working in the AI Field— A Personal Reflection from a Product Leader in Data Science Ankit Tomar, June 17, 2025June 6, 2025 This is a question I’ve been asked a lot lately—and it’s a good one. Why do I continue to work in AI and data science, especially when I could easily pivot into more conventional technology domains like ERP systems? The answer lies somewhere between passion, purpose, and impact. When I… Continue Reading
Career Data Science and AI: Real Career Challenges You Should Know Ankit Tomar, June 16, 2025June 6, 2025 Over the past decade, I’ve worked across various domains and seen the field of data science evolve dramatically—from traditional analytics to today’s GenAI capabilities. There’s no doubt we’ve come a long way, and yet, I still find myself answering the same questions over and over again—on YouTube, LinkedIn, and even… Continue Reading
Career 10 Real Ways to Get Better at Data Science & AI Ankit Tomar, June 13, 2025June 6, 2025 Over the past decade, I’ve built countless models, launched data products, and worked across geographies in the field of data science and AI. One thing that stands out to me is the wide skill gap among data science professionals. While many are good at the core task—model development—most fall short… Continue Reading
Machine Learning 🎯 Go-To-Market Reduction with a Hypothesis-First Approach in Data Science Ankit Tomar, June 12, 2025June 6, 2025 Let’s face it — most machine learning models never make it to production. Despite the effort, time, and resources poured into data science projects, a staggering percentage fail to deliver actual business value. Why? One of the biggest culprits is that we often jump straight into the data and start… Continue Reading
Career 🚀 Don’t Just Be a Data Scientist — Become a Full-Stack Data Scientist Ankit Tomar, June 11, 2025June 6, 2025 Over the past decade, data science has emerged as one of the most sought-after fields in technology. We’ve seen incredible advances in how businesses use data to inform decisions, predict outcomes, and automate systems. But here’s the catch: most data scientists stop halfway.They build models, generate insights, and maybe make… Continue Reading
Machine Learning Building a Practical Explainable AI Dashboard – From Concept to Reusability 🧰🔍 Ankit Tomar, May 25, 2025June 17, 2025 In today’s world of machine learning, understanding why a model makes a decision is becoming just as important as the decision itself. Interpretability isn’t just a “nice to have” anymore—it’s essential for trust, debugging, fairness, and compliance. That’s why I set out to create a modular, reusable Explainable AI Dashboard…. Continue Reading