Anjali Nimje
ML Engineer transforming data into business impact.
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Built a Streamlit-based Software Intake Portal that automates application onboarding, software packaging data collection, and deployment workflow management for SCCM and Microsoft Intune environments.
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Developed a Software Discovery Bot using Python and Streamlit to automate software lookup and inventory management. The application allows users to search software packages, retrieve metadata from centralized repositories, and generate reports for deployment and compliance tracking. Designed to improve software packaging workflows, reduce manual effort, and streamline IT asset management processes.
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Developed and evaluated a Machine Learning classification model using Python and Scikit-learn. Analysed accuracy score, confusion matrix, precision, recall and F1-score to measure model performance and prediction quality.
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Developed a House Price Prediction model using Machine Learning and Python. Performed data preprocessing, feature engineering, model training and evaluation using Scikit-learn. This Visualization shows residual analysis used to evaluate prediction accuracy and model performance.
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