A dynamic Data Scientist with a strong foundation in AI, machine learning, and deep learning, specializing in Python and R programming. As an alumnus of MNNIT Allahabad with a Master of Science in Mathematics and Scientific Computing, expertise spans advanced algorithms, scikit-learn, PyTorch, TensorFlow, and neural networks. With a robust understanding of mathematical disciplines like Statistics, Optimization, Linear Algebra, and Graph Theory, I am equipped to solve complex challenges and deliver impactful solutions in the rapidly evolving fields of AI and data science.

Currently working as a Data Scientist (Analyst) at eClerx, I contribute to large-scale projects involving Natural Language Generation, IoT, Neo4j, Large Language Models (LLMs), and Generative AI. Key achievements include securing AIR 802 in IIT JAM 2021, AIR 1007 in GATE 2022, and winning the prestigious 13th Edition Aegis Graham Bell Awards in 2023, conducted by the Ministry of Electronics and Information Technology, Government of India, NITI Aayog, Skill India, and National Informatics Center Services Incorporated. With a passion for innovation and excellence, my work is driven by a commitment to leveraging advanced technologies to create cutting-edge solutions that shape the future of AI.