Nilesh Khade is a highly skilled Applied Data Scientist at Microsoft, where he leverages his extensive expertise in software development, machine learning, and deep learning to drive impactful projects in the realm of non-search advertising. With over five years of experience in the field, Nilesh...
Nilesh Khade is a highly skilled Applied Data Scientist at Microsoft, where he leverages his extensive expertise in software development, machine learning, and deep learning to drive impactful projects in the realm of non-search advertising. With over five years of experience in the field, Nilesh has honed his abilities in modeling complex data patterns, particularly focusing on Click Through Rate (CTR) prediction. His current role involves spearheading machine learning initiatives aimed at optimizing view and monetization value signal predictions. By employing advanced techniques such as deep neural networks and boosting algorithms, Nilesh has successfully achieved over 1% offline AUC (Area Under the Curve) gains, translating into a significant increase in Click Yield and an impressive 2% revenue boost for the organization.
Nilesh's academic foundation is equally robust, holding a BTech (Hons.) and MTech from IIT Kharagpur in Computer Science and Engineering, along with an MS in Computer Science with a specialization in Machine Learning from UMass Amherst. This strong educational background complements his practical skills in programming languages such as Java and SQL, as well as his proficiency in database management systems and software design principles. His adeptness with tools like GitHub and Weka further enhances his capability to develop and deploy scalable machine learning solutions. Nilesh's contributions not only reflect his technical acumen but also his commitment to driving innovation and delivering measurable results in the fast-paced tech landscape. As he continues to push the boundaries of what's possible with data science, Nilesh remains a key player in shaping the future of advertising technologies at Microsoft.
