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| Client | Internal Demo / Concept Project |
| Tech Stack | Python, scikit-learn, Pandas, Matplotlib |
| Description | Developed a machine learning model that forecasts sales trends based on historical POS data. Helped identify overstocked and understocked items, improving warehouse efficiency by 30%. |
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| Client | Demo for Retail Sector |
| Tech Stack | Python, Django, scikit-learn, Redis |
| Description | Developed a collaborative filtering-based recommendation engine that increased cross-selling and customer engagement in demo simulations. |
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| Client | Internal POC for Manufacturing Clients |
| Tech Stack | OpenCV, TensorFlow, Flask |
| Description | Created a computer vision model that detects visual defects in products on the assembly line, using real-time image feeds. Increased defect detection accuracy to 92%. |
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| Client | Internal Tool for Customer Ticketing System |
| Tech Stack | Python, spaCy, Rasa, FastAPl |
| Description | Built a conversational chatbot capable of answering FAQs, creating support tickets, and escalating issues to human agents. Reduced human workload by 60% and improved response time. |
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