Anoushka Jawale

Contributed to an AI-powered application to extract tabular data from scientific papers using OCR with Tesseract in Python, enabling downstream mathematical analysis. Developed a Streamlit frontend and added automated visualization generation using embedded LLM capabilities (Gemini). Used Azure Python SDK, Azure Search and Azure OpenAI to create document-aware agents and chatbots. Participated in a Microsoft Hackathon as part of the AI team and authored detailed technical documentation for the completed project. Trained AI agents on frequently queried documents to enable natural language querying via Azure AI Services.

Interpreted agricultural program data analysis results to generate insights and contribute to public reports. Developed an application to analyze and search tracked email content and documents using NLP techniques such as keyword extraction and semantic similarity. Implemented relevance ranking to improve search accuracy by approximately 20%. Conducted analysis on large qualitative, quantitative, and unstructured datasets, creating graphs in Python and dashboards in Tableau and PowerBI. Performed sentiment analysis on feedback survey data collected from event attendees. Used Visio to create diagrams for presentations and reports.

Wrote PowerShell scripts to extract data from Microsoft Teams and store results in Excel spreadsheets. Built a request-tracking application for IT Helpdesk using Microsoft PowerApps. Automated repetitive workflows for the Requests app using Power Automate. Created M365 site to inform employees about M365 resources in SharePoint.