Akash Mondal
₹500 / 30 Min
Educational Background
Bsc in statistics from Calcutta university
MTech Cs and Ms stat from IISc Bangalore, IIT Kanpur
Current Organization and Role
Company: Intuit , Designation: AI scientist 2
Experience
4 years of experience
Previous Experience
Ford, Siemens research, Infosys, EY
Services Offered
Tech - IT
As an AI Scientist at Intuit with 4 years of industry experience, and an academic background spanning Statistics and Computer Science (M.S. from IIT Kanpur and M.Tech from IISc), I understand both the theoretical and practical dimensions of AI/ML. If you're looking to break into this field, here’s how I recommend you approach it: 1. Build a Strong Foundation Begin with core concepts in statistics, linear algebra, and programming (especially Python). Complement this with a solid understanding of algorithms and data structures. 2. Focus on Applied Learning Learn popular libraries (like scikit-learn, PyTorch, TensorFlow) and work on real datasets. Kaggle, GitHub, and open-source contributions can be invaluable. 3. Pursue Structured Learning Enroll in credible courses (e.g., fast.ai, DeepLearning.ai, or university-backed programs) that combine theory and hands-on work. 4. Specialize and Showcase Choose a niche—be it NLP, computer vision, or generative models—and create a few end-to-end projects. Document your work thoroughly to share on GitHub or a personal blog. 5. Network and Seek Mentorship Reach out to professionals in the field, attend AI meetups, and participate in research reading groups. I’m happy to share insights from my journey and point you toward valuable resources.
My area of expertise/achievement
AI, ML, DL, Stat, LLM, GenAI