Konda Laxmi Prasanna

• Employed automated tools to develop functional and technical specifications for SAP environments. Collected client requirements to drive precise documentation efforts. Leveraged GenAI and Azure OpenAI for efficient data orchestration during specification generation. Delivered customized documentation to optimize SAP implementation and adaptability.
• Designed and implemented data indexing processes for GenAI training using Azure OpenAI and custom Azure Functions.
• Developed triggers to automate indexing of files from Azure Blob Storage.
• Created and maintained Azure DevOps pipelines for backend (Node.js), frontend (Next.js), and Azure Functions deployments.
• Led team operations: handled access approvals, onboarding, and individualized client setups.
• Coordinated with the open cloud team for cross-functional integration and delivery.
• Tools & Technologies: Azure Resources, Gen AI, RAG, LLM, Node.js, Next.js, Azure DevOps

Client :Deloitte Consulting India Pvt Ltd

• This Application involves monitoring and maintaining the inventory of child URLs and parent URLs from the entire Dell/Support page. The process includes collecting necessary information, maintaining inventory across different pages, and creating data pipelines from various data sources to a single table based on custom filters provided by stakeholders. The entire process is automated using SQL and Python.
• Collected and maintained inventory of child URLs and parent URLs from the Dell/Support page.
• Built data pipelines to consolidate data from different sources into a single table based on custom filters provided by stakeholders using stored procedures.
• Developed Dashboards using Streamlit and Power BI.

• Netscore Decision Intelligence is a business intelligence tool that processes your organization's data with leading artificial intelligence (AI) technology and machine learning (ML) models to power top-line revenue growth and margin improvements. These results are achieved by implementing analytical models for actionable insights and unique predictive analytics models for forecasting and estimating business risks and opportunities.
• Built a Pipeline to collect data from NetSuite File Cabinets to database.
• Involved in Design and Implementing in a Regression Model to predict the product Quantities.
• Tools & Technologies: HTML, CSS, Bootstrap, Python – NumPy, Pandas, Matplotlib, Plotly, SQL, Mongo DB, Streamlit, Stats Models, PyCharm, Jupyter

• Leverage a rich and powerful database of institutional and expert profiles to quickly discover the most relevant information for any profiling task at hand. Tools for a medical affairs organization to identify, analyse, and apply the critical information surrounding opinion leaders.
• Responsible for data identification, collection, exploration, cleaning for modeling.
• Tools & Technologies: Python, Pandas, NumPy, Seaborn, SQL, Django, PyCharm