Anjali Jangalagi

I evaluate and improve LLM results by analyzing the financial data generated by the model. I work on end-to-end dental receipt processing

Integrated Ouster LiDAR with UGV for underground navigation Implemented SLAM and localization with Docker integration. Used Blender to clean artifacts and create navigation paths

Developed real-time anomaly detection and financial analysis dashboards using Elasticsearch, Kibana, and Power BI, improving reporting efficiency by 13%. Utilized Python and SQL for data extraction, cleaning, and time-series analysis, collaborating with clients to deliver insightful visualizations and actionable business insights.

Built advanced dashboards in Power BI using M and DAX Applied machine learning models to solve business problems. Cleaned data and applied statistical modeling to improve operations . Worked on financial data analysis and in time series data .

Led two supply chain analytics projects, improving production by 22%. Created dashboards and visualizations using Power BI and Tableau. Processed data using Python libraries like Pandas and Matplotlib.

Built a collision-free autonomous path-planning robot. Anomaly detection in wind turbines (Time series). Built a smart home database system. Developed ML and rule-based regression models. IMU-based sensor activity detection. Applied DRL with LLMs.

Project : Real-time blind spot detection in vehicles using image processing Volunteer work : Organized TEDx in college and Attended TEQIP-sponsored FDP on LabVIEW Hubballi, Feb 2017 Participated in SRISHTI 2017 State Level Engineering Project Exhibition & Competition, Bengaluru