Hey, I’m Anshuk, a Data Engineer and emerging AI practitioner at PharmEasy with a journey that’s taken me through data analytics, machine learning and scalable engineering I started my career in data roles, gradually moving closer to the AI side of the spectrum as my work and curiosity evolved. Along the way, I’ve built ML systems, worked on NLP projects and strengthened my foundation in model building, evaluation and deployment Earlier, I spent time at Samsung Research, where I worked on IoT-focused data initiatives and learned how large-scale systems are built, tested and optimized. That experience shaped the way I think about both engineering and machine learning today I help students and early-career professionals understand the practical side of data and AI - • choosing the right path between Data Science, ML Engineering and Data Engineering • building strong, real-world projects that actually get noticed • interview preparation (DS/ML/DE) and avoiding common pitfalls • crafting a resume that highlights your strengths and story • learning the right tools in the right order If you’re feeling unsure about your direction or want clarity on how to grow in the AI/Data ecosystem, I can help you make steady, confident progress If you’re looking for grounded, real guidance and not just generic advice, feel free to connect. I’d be happy to support your journey