Karthik Naga is a Senior Consultant specializing in Artificial Intelligence and Machine Learning at Slalom, where he leverages his extensive experience in both the US and Asian markets to drive innovative solutions in the AdTech industry. With a robust academic foundation that includes degrees in...
Karthik Naga is a Senior Consultant specializing in Artificial Intelligence and Machine Learning at Slalom, where he leverages his extensive experience in both the US and Asian markets to drive innovative solutions in the AdTech industry. With a robust academic foundation that includes degrees in Computer Science and an MBA in Finance from prestigious institutions, Karthik seamlessly integrates technical expertise with strategic business insights. His proficiency in cutting-edge technologies such as AWS, Python, SQL, and PySpark allows him to develop and deploy scalable machine learning models that enhance advertising effectiveness and optimize client outcomes.
At Slalom, Karthik has been instrumental in leading key projects that harness the power of Amazon SageMaker and TensorFlow to create predictive analytics frameworks. These frameworks enable clients to better understand consumer behavior and improve targeting strategies, ultimately driving revenue growth. His experience with XGBoost and Snowflake further enhances his ability to analyze large datasets efficiently, ensuring that insights are actionable and aligned with business objectives.
Karthik’s skill set extends beyond technical capabilities; he is adept in business process improvement and requirements analysis, ensuring that projects not only meet technical specifications but also deliver significant business value. His leadership skills foster collaboration among cross-functional teams, driving projects to successful completion while maintaining a focus on quality and innovation. As a thought leader in AI/ML, Karthik is committed to staying at the forefront of industry trends, continuously seeking ways to apply emerging technologies to solve complex business challenges in the dynamic AdTech landscape.
