Summary
Siddhant Maharana is a Senior Data Scientist based in Atlanta with nine years of experience turning data into measurable business outcomes across retail, advertising, and product analytics. He combines deep expertise in A/B testing, causal inference, and statistical modeling with practical machine learning and deep learning skills (including reinforcement learning and CNNs) to optimize ads marketplaces and product funnels. At Cardlytics he built automated experimentation frameworks and propensity models that reduced turnaround time by ~50% and improved advertiser ROAS, and he now applies that product-focused rigor at Lowe’s. His toolkit spans Spark, Hadoop, Python, TensorFlow, SQL and Java, and he has a track record of shipping production-ready forecasting and targeting systems. Comfortable bridging product, engineering and analytics teams, he also brings startup-honed pragmatism from early roles where small experiments produced outsized retention and engagement gains. Trained in engineering and analytics (Georgia State University), he blends rigorous statistical thinking with hands-on pipeline and reporting automation.
8 years of coding experience
5 years of employment as a software developer
Electronics and Instrumentation, Electronics and Instrumentation at College of Engineering and Technology, Bhubaneswar
Master's degree, Analytics and Data Science, Master's degree, Analytics and Data Science at Georgia State University - J. Mack Robinson College of Business
English, Hindi