Rishi Dave Email & Phone Number

Mumbai, MH, IN

Mumbai, Maharashtra, India

• Developed a bespoke question and answer(Q&A) solution using GenAI, tailored to the needs of telco company to streamline support process, reducing manual search time by 1934 hours/month for 50 users, saving.
• Engineered a robust cache mechanism using SQLLite to optimize the utilization of resources and reduce costs associated with calling the Azure OpenAI API. This innovative approach enhanced the efficiency of the Q&A.
• Implemented the solution to reduce the time and effort required by the support executives to find the solutions to the customer queries, resulting in increased efficiency and productivity.
• Leveraged Azure search vector database for indexing and Azure OpenAI to power the Q&A system, and created RAG pipeline, ensuring accurate and relevant responses to customer inquiries.
• Integrated accumulated training documents stored on Azure BLOB storage, into the solution to enable effective retrieval of specific answers to customer problems, enhancing the overall user experience.
• Collaborated closely with the stakeholders to understand their requirements and deliver a customized solution that addressed their specific pain points and challenges.

India

• Streamlined unstructured document auditing using Azure Form Recognizer and Azure cognitive search, reducing processing time by 75%, enhancing productivity and decision-making with query specific responses.
• Proposed and developed a POC for the unstructured documents utilizing generative ai technology.
• The proposed solution was built using Azure openai, Azure vector DB, Azure blob storage.
• Built a RAG pipeline to enhance the LLM response, making it specific to the query.
• Engaged in the performance issues related to data fetching from MSSQL from node.js app.
• Tools and technologies used in the project were Python, MSSQL, Azure search, Azure form recognizer, Databricks, Azure functions app, Azure OpenAI, Langchain, Azure vector DB, Azure container registry, Azure container.

India

• Project: Deepmind (Real estate).
• Developed a machine learning solution that increased property sales by 25% by providing buying propensity insights, enabling sales managers to identify potential customers and tailor pitches more effectively.
• The tools and technologies used in the project were machine learning using Python and Databricks, MLOPS for model monitoring and model re-training using Azure ML flow.Project: RIMA (Reimagine Audit).
• The application will improve the auditing process of pharma and vaccination manufacturing sites by using NLP techniques.
• The project will provide a one stop shop to the auditors to perform the auditing conveniently and reducing the time it takes to do the auditing.
• The application has a repository created for the regulatory documents onto which we have implemented Azure search to make it easier for the auditors to find the regulatory documents based on the search keywords.

Thane, Maharashtra, India

• Using NLP techniques implemented machine learning in an already existing Chatbot application built in Flask, to classify text messages/Transcripts.
• Enhancements in the Flask app to improve the workflow.
• Identifying and improving the architectural flaws in the chatbot application for providing better results. Migratedthe Chatbot application to the latest Python Version.

Mumbai, Maharashtra, India

• Incident category (Text classification) based on issue Descriptions.
• Using NLP Techniques worked on automating the Ticketing process.
• Worked on project for Automating the process of STR using python.
• Worked on ETL process logic to implement the automation of reviewing trades, using python.
• Apply data engineering and predictive analytics techniques, combining tickets / requests data of all theprojects from all BU’s and try to identify trends / seasonality from it.
• Identifying the most common request trends across the BU’s and try to identify the tasks which can be automateProject: Automating the STR process for reviewing the trades.

Mumbai Area, India

• Collaborated with the cross-functional development team members to analyze potential system solutions based on evolving client requirements.
• Providing architectures for the database servers for improving high availability and disaster recovery of the application like log shipping, Clustering, always on.
• Extracting and processing data on Hadoop clusters using Apache Spark to fetch useful data to analyze and audit the same and find the mitigations in the application or servers.
• Business Intelligence solution design, development, and process documentation to produce required reporting and analytics deliverables using Tableau.
• Dashboard development for use in analyzing and predicting channel, region, site-level performance. Managing Linux servers / Apache Tomcat / MS SQL DB / IIS

Mumbai, Maharashtra, India

• Worked closely with U.S healthcare providers to improve patient health information data management.
• Troubleshooting an internal workflow of an application. Scheduling Jobs for full, differential and transactional log back up of databases. Troubleshooting issues related to failure of backups and maintenance.
• Analyze slow queries and analyze query execution plans to identify the root-cause of it. Editing the queries tomake sure it executes in a highly optimized manner.
• Analyzing the DB architecture and create execution plans for new features / customizations as requested byclient. Worked on Hadoop clusters using Apache Spark for fetching patient data for the providers/hospitals.

Pgp In Data Science, Data Science

Bachelor'S Degree, Computer Engineering