Senior Analyst
CurrentCall center Analytics:Developed a tool that takes the audio calls from AWS S3 transcribes calls into readable textual format at speaker level saves the result back into S3. Then did few NLP(Topic modelling, Sentiment analysis) on the transcribed output to extract key insights from the data and stored the final excel in the S3. AWS lambda was used as event trigger to initiate this process. The final output was visualized in Tableau to showcase key insights.Tools used : Python, AWS S3… Show more Call center Analytics:Developed a tool that takes the audio calls from AWS S3 transcribes calls into readable textual format at speaker level saves the result back into S3. Then did few NLP(Topic modelling, Sentiment analysis) on the transcribed output to extract key insights from the data and stored the final excel in the S3. AWS lambda was used as event trigger to initiate this process. The final output was visualized in Tableau to showcase key insights.Tools used : Python, AWS S3, AWS Transcriber, AWS lambda, TableauShelf space optimization (POG to Store and Sales mapping): Develop a Web UI and automate the mapping of planogram files to the respective store and sales data. Developed python script to automate the entire process of fetching files from Azure blob based on user interaction with Web App, mapping and pushing files back to Azure blob in the respective folder and integrated with UI. Also containerized the code so that it helps in running the tool in any platform. The tool helped in comparing the shelf space utilization and its impact on sales and using this information to further optimize the shelf space.Tools used : Python, Azure blob, Azure SQL, Azure function app, Power Bi, Docker, VS code Show less