IdentityI am a Data Scientist with 5+ years of industry experience, currently working at HP Inc., Bangalore, where I design and deploy end-to-end machine learning and AI systems used in real business environments.
My expertise spans Data Science, Machine Learning, NLP, and Generative AI, with hands-on experience building production-grade solutions—from data preprocessing and model training to API deployment, monitoring, and scalability. I have worked extensively with Python, SQL, statistics, transformers, LLMs, and cloud platforms (AWS), and I regularly apply these skills to solve real-world customer and business problems.
I specialize in teaching practical, industry-oriented data science, not just theory. My sessions focus on:
Strong fundamentals (Python, SQL, statistics, ML concepts)
Real-world datasets and problem-solving approaches
End-to-end ML workflows (EDA → modeling → evaluation → deployment)
Text analytics using transformer models and Generative AI
How data science is actually practiced in companies
I have led and contributed to impactful projects such as:
AI-powered anomaly detection systems for large-scale telemetry
Customer feedback and call transcript analysis using NLP and LLMs
Automated testing and AI-driven image comparison solutions
Production-ready ML pipelines and inference services
I also secured 2nd place in the 2024 HP Innovation Hackathon, demonstrating my ability to translate AI ideas into working, high-impact solutions.
As a mentor, my teaching style is structured, clear, and example-driven. I adapt sessions based on the learner’s background—whether you are a student, working professional, or career switcher—and focus on building confidence to apply data science skills independently.
If your goal is to learn data science the right way—practical, industry-relevant, and future-ready—I can help guide you step by step.
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