Projects using Docker in Pimpri-Chinchwad
Projects using Docker in Pimpri-Chinchwad
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Vikaskumar dane
From Manual Clicking to Terraform Magic
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Mansi Gaikwad
Project Title: Sentix AI: Global Sentiment Intelligence Results & Impact: 1. Achieved a 92% F1-score by implementing domain-specific fine-tuning on diverse consumer datasets, ensuring high reliability in classification. 2. Engineered an Aspect-Based Sentiment Analysis (ABSA) module that decomposed reviews into granular attributes (performance, pricing, reliability), making trend tracking 15% more precise. 3. Optimized inference performance by 25% through model distillation and Docker-based containerization, enabling the system to handle thousands of concurrent requests. 4. Mitigated data bias by designing a robust pre-processing workflow including lemmatization and custom noise reduction, critical for handling global marketplace jargon.
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Neha Madrala
Medicine Supply Chain Disruption Predictor Built a production-ready ML system that predicts drug shortage risk using real FDA data. Collected and cleaned 1703 real drug shortage records, trained an XGBoost model, and deployed it as a live REST API — accessible to anyone worldwide. The biggest challenge was identifying and removing 6 sources of data leakage that were causing fake 100% accuracy. After fixing this, the model delivers honest, generalisable predictions. The entire system is containerised with Docker, automatically rebuilt and redeployed via a Jenkins CI/CD pipeline on every code push, and visualised through an interactive Power BI dashboard. Result: A complete ML + DevOps project — from raw data to live deployed API — built independently in under 2 weeks. Live API: https://medicine-supply-predictor.onrender.com/docs GitHub: https://github.com/nehaM906/medicine-supply-predictor
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Gsinfotechvis Pvt Ltd
AI Support & Optimization Solutions
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Sandesh Salunkhe
Interview - HackerRank
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Sandesh Salunkhe
CodeScreen - HackerRank
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