Data Scientist
I am a Data Scientist at Airtel with a Master's degree in Artificial Intelligence from the Indian Institute of Science (IISc), Bangalore. My work focuses on designing, developing, and deploying machine learning solutions that solve large-scale business problems, with expertise spanning the complete ML lifecycle, from model development and optimization to production deployment and monitoring. At Airtel, I have worked on developing credit risk models using deep neural network (DNN) architectures as an alternative to traditional tree-based approaches, building scalable model monitoring frameworks to track model health and detect performance degradation, and developing hyperparameter optimization packages to accelerate experimentation and improve model performance. My background combines industry experience with a strong research foundation in Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, and Generative AI. Throughout my academic and personal projects, I have benchmarked deep learning models for image-based disease detection, fine-tuned transformer models such as BERT for Question Answering and Named Entity Recognition, implemented recommendation systems, and worked on Vision Transformers, object detection, semantic segmentation, and generative models. I enjoy translating cutting-edge AI research into practical, production-ready solutions. As a mentor, I aim to help aspiring data scientists and machine learning engineers build strong technical foundations, understand how ML systems are developed and deployed in industry, prepare for technical interviews, and bridge the gap between academic knowledge and real-world applications. Whether you're learning machine learning fundamentals, deep learning, or Generative AI, my goal is to provide practical, industry-oriented guidance that helps you grow with confidence.
Airtel
2025-08 – Present
Each session is tailored to your specific needs. We'll discuss your goals upfront, and I'll provide actionable advice, resources, and follow-up materials.
Based on candidate readiness and fit, I may choose to provide professional recommendations or introductions within my network after working together. This is not guaranteed and depends on team openings, fit, and your performance during our sessions.
Share your resume, LinkedIn, and specific questions/goals at least 24 hours before the session so I can prepare personalized advice.
You can reschedule up to 24 hours before the session. Cancellations made less than 24 hours in advance are non-refundable.
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