Mahima S

To continually enhance my technical skills, collaborate effectively with experienced professionals, and contribute innovative solutions to create impactful and efficient software products.

• PL-300: Microsoft Power BI Data Analyst
• Python 101 for Data Science - IBM

Project Name: Business Intelligence Report

Technologies: MySQL Database, Power BI

Details:

• Inventory Analysis: Implemented inventory optimization metrics through BI reports using Power BI to enhance operational efficiency and minimize costs. Created insightful Power BI reports such as: Aging Inventory, Product on Demand, and Stock Below Threshold to facilitate strategic decision-making for inventory management.

Project Name: Chabot with RAG Implementation.
Technologies: Django, VS Code, Python (NumPy, Pandas, transformer-based models)
Details:

• Developed a Chatbot using Retrieval-Augmented Generation (RAG) with Django, integrating transformer-based models for accurate, contextually relevant responses. Implemented retrieval models and a large language model (LLM) to enhance information extraction and user interaction efficiency.

Project Name: Smart LPG Monitoring

Technologies: IOT, Load Cell, GSM Modem, Wi-Fi, Android Studio, C

Details:

• The project aimed to facilitate individuals in monitoring their home LPG gas cylinders through their registered phone numbers. It is designed to detect gas leakage, ascertain the current weight of the cylinder, and subsequently transmit SMS alerts to the registered phone numbers. Implementation involves utilizing a GSM Modem for SMS transmission and a Smart LPG Monitoring Application for real-time status updates.

Project Name: Sales Data Analysis using Azure Platform

Technologies: Azure Synapse Analytics, Azure Data Factory, Azure Data Lake

• Ingested, transformed, and analyzed sales dataset using Azure Synapse Analytics and Azure Data Factory. Demonstrated Azure's capabilities in managing diverse data sources, performing complex transformations, and generating actionable insights through interactive visualizations. Utilized Azure Synapse Analytics for efficient data handling and Azure Data Factory for seamless data integration and workflow automation.