Qalam Noer Fazrian

Aspiring Data Scientist • NLP • Machine Learning

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About Me

Computer Science undergraduate deeply passionate about Data Science, Machine Learning, and Artificial Intelligence, with strong commitment to building analytical and intelligent systems. Experienced in developing NLP pipelines, predictive models, and deep learning architectures through hands-on projects. Continuously exploring modern AI techniques and applying them to real-world problems, aiming to grow as a data scientist capable of creating impactful solutions.

Featured Projects

HIV Risk Mapping ML

Predictive modeling and clustering achieving R² > 0.8 to classify regional risk zones in West Java.

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Cyberbullying Classification using RNN & LSTM

Sequence-based NLP classifier using LSTM to model textual patterns, including preprocessing, embedding, and deep learning training pipeline.

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IndoBERT Sentiment API

NLP model deployed with FastAPI achieving 84% classification accuracy.

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Football Match Outcome Prediction

Neural network model predicting match outcomes with 78% accuracy using engineered performance features and classification tuning.

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NLP Chatbot System

Conversational chatbot built using NLP techniques to process user queries and generate contextual responses through intent classification.

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CNN Image Classification

Transfer learning model achieving 99% accuracy.

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Skills

Python SQL Machine Learning NLP TensorFlow FastAPI Pandas Scikit-learn

Let’s Connect

Open for Data Science, Machine Learning Engineer, & AI Engineer Internship Opportunities

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