- Collect, clean, and preprocess large volumes of structured and unstructured data from multiple sources.
- Analyze complex datasets to identify trends, patterns, correlations, and business insights.
- Develop, train, and validate machine learning and predictive models to solve business problems.
- Design and implement statistical analyses, forecasting models, and data-driven solutions.
- Create data visualizations, dashboards, and reports to communicate findings to stakeholders.
- Collaborate with business teams, product managers, and engineers to understand requirements and provide analytical support.
- Build and maintain data pipelines, ensuring data quality, integrity, and accessibility.
- Evaluate model performance and continuously optimize algorithms for accuracy and efficiency.
- Apply advanced analytics techniques such as regression, classification, clustering, and deep learning.
- Stay updated with emerging technologies, data science tools, and industry best practices to drive innovation and business value.
📌 Data ScientistF discussion - Chennai
🏢 Tata Consultancy Services
📍 Chennai
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