AI Marketing Pipeline Training
I worked on training AI models specifically for marketing automation and intelligent content workflows. My role involved labeling and annotating large-scale text datasets used to build marketing-focused LLM pipelines.
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I am a data enthusiast with hands-on experience in data preprocessing, annotation, and model building, specializing in Natural Language Processing (NLP) and machine learning projects. My background includes building real-time news verification systems and developing predictive models for oil price forecasting, where I handled large datasets, performed data cleaning, feature engineering, and implemented various ML algorithms such as k-Nearest Neighbors, Naive Bayes, SVM, Decision Trees, and Random Forest. I am proficient in Python, PyTorch, TensorFlow, and data visualization tools like Power BI and Tableau, and excel at extracting actionable insights from complex datasets. My strong attention to detail, problem-solving ability, and collaborative mindset enable me to deliver high-quality, accurate training data for AI systems across diverse domains.
I worked on training AI models specifically for marketing automation and intelligent content workflows. My role involved labeling and annotating large-scale text datasets used to build marketing-focused LLM pipelines.
Bachelor of Technology, Computer Science and Engineering
Marketing
Data Science Intern