With over 9 years of hands-on experience at the intersection of Machine Learning and Software Engineering, I am dedicated to operationalizing data science and analytics to drive tangible business value. Experienced in building scalable solutions to business problems by leveraging data and presenting insights to business leaders. Handled end-to-end data analytics projects and have proven experience in developing, formulating and executing statistical data models to solve complex business problems. Accustomed to fast paced learning and prototyping environment. Currently, I am part of the Microsoft Cloud Commerce org, working as an IC for the development of cutting-edge LLM-based copilot experiences for Microsoft products and services within Azure. This role allows me to channel my expertise and creativity into crafting the future of AI-powered solutions. Two times winner of LLM Hackathons at IDC level. My journey began at Epsilon, where I contributed to the Marketing Machine Learning team, gaining diverse experience across retail, finance, and hotel industry projects in the consulting industry. My career trajectory has also included academic exploration, particularly in Generative Adversarial Networks (GANs), with multiple publications to my name. Curiosity fuels my continual personal growth, and I approach each day as an opportunity to learn and improve. Publications ❊ SPRINGER: https://www.springerprofessional.de/en/training-dataset-extension-through-multiclass-generative-adversa/16966508 ❊ MTAP: https://link.springer.com/article/10.1007/s11042-020-08883-w ❊IEEE: https://ieeexplore.ieee.org/abstract/document/8856485 SKILLS: ❊ Programming Ability in C, C++, Python, SQL,Apache Spark, AWS, AWS Sagemaker, Azure ML, MLOps via databricks, Model deployment via airflow. ❊P.S. I love connecting with new people and discussing technology projects. Feel free to connect via LinkedIn or mail! Email: ganeshjha1cse@gmail.com