About Me
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I am Dinesh Krishnan Gopalakrishnan, a data science professional with a strong academic foundation in Complex Adaptive Systems and Automotive Engineering. With experience as a Data Scientist and Associate Data Scientist, I have honed my expertise in Python, SQL, and Spark, alongside tools and techniques for predictive modeling, time series forecasting, and demand planning. My passion for data driven solutions is evident in projects like customer churn prediction, epidemic testing strategies, and time series forecasting using Transformer models.
I thrive in roles requiring a blend of analytical rigor and creativity, demonstrated through my work on segmentation plugins, Revenue Growth Management models, and data visualization. My professional journey has also included mentoring in Python programming and developing data pipelines.
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