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Data Science
B.Sc. Information Technology
MCA Computer Applications
Aspiring data scientist student with a passion for transforming data into actionable business knowledge. Eager to apply analytical skills and programming expertise (Python, SQL) to real-world problems in Business Analytics, Business Intelligence, and Data Science.
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Utilized Python and machine learning algorithms to perform predictive analysis of electrocardiograms, contributing to early detection and intervention in cardiovascular diseases and arrhythmias.
Developed AI-powered software for precision agriculture, optimizing crop yields, resource allocation, and pest control. Enhanced farm productivity by integrating machine learning algorithms for data-driven decision-making. Implemented real- time monitoring and automation, reducing operational costs and increasing sustainability.
The spread of misinformation online necessitates methods to identify real news. This work explores using Natural Language Processing (NLP) with BERT, a powerful language model, to classify short text snippets as real or fake news.
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