I consult Tech leaders & Companies on AI Strategy & Product
I have advised global clients from US, UK, EU, India on:
- AI & Data Science team building strategy
- AI Product development and strategy
- Data strategy for building AI capabilities
- AI team development and upskilling
- AI transformation roadmap
- AI infrastructure roadmap for startups
I coach Tech professionals to crack AI, ML, Data Science jobs in US Big Tech
My clients have received AI, ML and Data Science jobs in the US from:
AI: Career advice
AI: Interview preparation
AI: Career FAQs
- Apple
- Meta
- Amazon
- Databricks
AI: Career advice
- What does the future of AI look like?
- Advice for people looking for Data Science Jobs now
- Q&A on Careers in AI (Industry Insiders for UCL Alumni) [Video]
- AI in India (Industry Insiders for UCL Alumni) [Video]
- Careers in AI [Video]
- AI Career Advice - Part 1 [Video]
- AI Career Advice - Part 2 [Video]
- Advice for people who want to do research in AI
AI: Interview preparation
- How much Mathematics is required for Data Science and how do I prepare?
- How do I prepare for Machine Learning Engineer job interviews?
- How do I crack data science interviews, and should I learn DSA for the same?
- Robinhood Machine Learning System Design Mock Interview [Video]
- Amazon Deep Learning Mock Interview [Video]
AI: Career FAQs
I create expert content on AI Strategy & Product
AI: Leadership & Best Practices
AI: Data & Governance
AI: Use cases
Team development
Misc
- How to Automate MLOps? [New]
- Data Engineer vs Data Scientist
- Top 10 MLOps tools
- Developing AI/ML Projects for Business - Best Practices
- Building AI/ML products [video]
- How to build AI Teams that Deliver?
- Why Corporate AI Projects Fail? Part 1
- Why Corporate AI Projects Fail? Part 2
- How to hire Data Science teams?
- Benefits of FAANG companies for Data Science & ML roles
- ML Engineer vs Data Scientist
- Best Practices for Improving Machine Learning Models
- The Case for Reproducible Data Science
- Reskilling India for an AI-First Economy
AI: Data & Governance
- Data Preparation Steps for Data Engineers
- Why is a Strong Data Culture Important to your Business
- How Big Tech Companies Define Business Metrics
- What are Best Practices for Data Governance?
- Choosing a Data Governance Framework for your Organization
- Why Data Democratization is important to your business?
- How to ensure Data Quality through Governance
- The Metric Layer and how it fits into the Modern Data Stack
- How to Generate Synthetic Data for Machine Learning Projects
- Understanding and Measuring Data Quality
- Surefire Ways to Identify Data Drift
- Data Labeling and Relabeling in Data Science
- Data Labeling: The Unsung Hero Combating Data Drift
AI: Use cases
- How to choose the best time series forecasting model?
- Federated Machine Learning for Healthcare
- AI & Web3
- What are Fake Reviews?
- Knowledge Distillation: Principles, Algorithms & Applications
- TLDR: AI for Text Summarization & Generation of TLDRs
- Covid or just a Cough? AI for Detecting Covid-19 from Cough Sounds
- Fact-checking Covid-19 Fake News
- AI-enabled Conversations with Analytics Tables
Team development
- How to Manage Stakeholders Effectively?
- Effective Communication between Scientists and Non-scientists
- How to Improve Retention in Engineering Teams?
- Team Development Tips for Engineering and Product Leaders
- Five 5-minute Team-Building Activities for Remote Teams
Misc