Results-driven Data Scientist with hands-on experience building and deploying predictive models, analyzing complex datasets, and translating insights into business-relevant recommendations.
Strong foundation in machine learning, data analysis, and data engineering, with proficiency in Python and common data-science tools to glean actionable results. Delivered multiple end-to-end ML projects during a Codsoft internship (e.g., Titanic survival, sales prediction, movie ratings, iris classification) and independently developed customer segmentation and sentiment analysis solutions using DistilBERT. Communicated technical concepts clearly to both technical and non-technical stakeholders and continuously upskilled to solve real-world problems.
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