Description
- Languages: Python, C++, HTML.
- Tools, Databases, Libraries: Keras, Tensorflow, Pandas, NumPy, Scikit-learn, MySQL, Flask, Statistics, Machine Learning, Regression Analysis, Algorithms, Excel , Azure, Docker, Kubernetes.
Automation of manual audits of the retail stores for a Fortune 500 company (Consumer packaged goods). Languages/ Technologies used: Azure Cloud (Blob Storage, Machine Learning Studio, Data Factory), Image Processing. The solution built: Increased the efficiency of audits by reducing the time from 1.5 hours to 15 minutes leading to savings on man-power deployment; Better visibility to the management on ground realities of sales. techniques, Python, Deep Learning.
Developed an end-to-end chatbot for WhatsApp based ordering and payment system for an Agromart. Worked on RASA to catch the dynamic intent. Integrated google vision and google speech to text API to place orders using handwritten item lists and catch voice-based commands. Worked on complex APIs such as Facebook's WhatsApp API, Razorpay payment API etc. Architecture Design, Deployment and Maintenance of NLP engine on AWS.
Python
DBA
Django
Flask
REST API
.NET
C++
MYSQL
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