I am a dedicated Data Scientist and ML Engineer with expertise in statistics, supervised and unsupervised learning, predictive modeling, and MLOps pipelines. Skilled in Python, SQL/NoSQL, PySpark, Scala, and cloud platforms such as AWS, GCP, and Azure, I have a proven record of building scalable data pipelines, feature engineering, and deploying ML models into production. With a strong background in business performance analytics, forecasting, campaign optimization, pricing strategy, and e-commerce/fintech sectors, I am passionate about problem-solving, cross-functional collaboration, and communicating data-driven insights to stakeholders.
I continuously strive to improve processes and deliver strategic, data-driven business recommendations. I combine strong technical skills with business acumen and am always eager to learn and adopt new technologies to enhance business performance and customer experience.
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