I'm a tech enthusiast with an engineering background, now specializing in data science and machine learning. Skilled in Scikit-learn, Keras, TensorFlow, PyTorch, and more, I bring an interdisciplinary approach to tackling real-world challenges through innovative solutions. Academic Excellence: B.Tech from IIT Kanpur, Major: Mechanical Engineering, Minor: ML and Applications Professional Experience: Currently at Microsoft India, I’ve developed language models for Bing search to improve latency and click-through rates and written data pipelines. Previously, I built robust ASR systems and conducted EDA on various client calls, enhancing efficiency through automation and troubleshooting. My prior experience includes internships at Siemens Bengaluru and Michigan State University, where I focused on explainability for anomaly detection and interpretable AI. Research Contributions: Published two impactful papers in reputable conferences, focusing on evaluating nonlinear decision trees and fault detection using AutoEncoders and interpretable AI. My Publications: AdConip Conference 2022, Vancouver, Canada: Link IEEE-SSCI Conference 2020, Canberra, Australia: Link Technical Proficiency: Proficient in Scikit-learn, Keras, TensorFlow, NumPy, Pandas, Matplotlib, NLTK, SQL, PyTorch, SciPy, and large language models (LLMs). Experienced in data visualization, analysis, and infrastructure management. As a firm believer in the quote, "You rise by lifting others," please feel free to reach out if I can guide or help you. 🙂