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Lakshya Agarwal is a recent graduate of McGill University's Master of Management in Analytics program, specializing in data science, machine learning engineering, and generative AI. With a strong foundation in statistical methods and econometrics from his undergraduate studies, Lakshya has applied his analytical skills at Bain & Company's Private Equity CoE, where he assisted in due diligences and developed innovative automations and solutions using Python, Alteryx, and recently, LLMs. Passionate about leveraging AI for business success, Lakshya has led projects in sentiment analysis, retail analytics, and GenAI applications. His technical expertise spans Python, SQL, and various ML frameworks, with a particular focus on NLP and deep learning. Lakshya's recent work includes developing RAG-enabled tools for business model evaluation and optimizing data pipelines for large-scale analytics. An avid writer, Lakshya regularly shares insights on both technical and non-technical concepts through his blog, where he enjoys breaking down complex ideas and exploring the latest trends in AI and data science. Always eager to explore new technologies and methodologies in the rapidly evolving field of AI, Lakshya is open to discussing how cutting-edge techniques can drive innovation and efficiency in various industries. Connect with him through his website to explore potential collaborations or dive deeper into the world of AI and analytics.
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