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Data-Driven Department Optimization

Tech Stack: NumPy Pandas Seaborn Scikit-Learn XGBoost Prophet TensorFlow Keras NLTK

A suite of data-driven solutions optimizing operations across HR, Marketing, Sales, Operations, and PR. Leveraging machine learning, deep learning, and advanced analytics to tackle departmental challenges—from predicting employee turnover with logistic regression and deep nets, to customer segmentation via K-Means and autoencoders, sales forecasting with Prophet, medical diagnostics with deep models, and PR sentiment analysis using Naive Bayes and logistic regression.

Data-Driven Department Optimization

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Optimizes departmental operations using machine learning and deep learning: predicts employee turnover (HR), segments customers (Marketing), forecasts sales (Sales), detects chest diseases (Operations), and analyzes customer satisfaction (Public Relations).

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