Aanish P

Bangalore

I'm Aanish, a project collaborator at the Centre of Data for Public Good (CDPG), IISc, where I channel my deep curiosity and diligence into driving meaningful, data-driven impact for the public sector. I approach challenges with a pragmatic mindset, staying flexible and resourceful to navigate complex problems while keeping real-world outcomes at the forefront. With a strong foundation built over the past year, I thrive on collaborative problem-solving and bring a quiet, focused determination to every project I take on.

Experience

AIML Intern

e-Sutra Chronicles Pvt. Ltd · Jan 2026 – May 2026

Not yet confirmed

• Developed an automated Percona MySQL Backup Suite for secure database backup, recovery, and monitoring.
• Implemented Point-in-Time Recovery (PITR) using MySQL binary logs to enable recovery from accidental data loss.
• Built automated monitoring and alerting systems for backup health, incident detection, and system reliability.
• Leveraged Docker, MySQL, Linux, and Shell Scripting to automate database management workflows.
• Contributed to the development of RAG-based AI solutions with SQL database integration for intelligent information retrieval.

C

Project Collaborator

Centre of Data for Public Good, IISc · Oct 2024 – Jan 2025

Not yet confirmed

• As part of a four-person team in an industry-academic collaboration with the Center of Data for Public Good (CDPG), we co-developed the "Analytical Air Quality Dashboard." This full-stack web application, built with Flask and JavaScript, provides real-time AQI data via the AQICN API and 7-day forecasts using the Prophet prediction model.
• The dashboard features interactive maps and historical trend graphs powered by Chart.js to deliver comprehensive and actionable air quality insights.

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Project Collaborator

Centre of Data for Public Good (CDPG), IISc · Oct 2024 – Jan 2025

Not yet confirmed

• Co-developed the "Analytical Air Quality Dashboard," a full-stack web application using Flask and JavaScript in a four-person industry-academic team.
• Integrated the live AQICN API for real-time data and implemented the Prophet prediction model to generate 7-day air quality forecasts.
• Designed and built interactive maps and historical trend graphs using Chart.js to deliver comprehensive and actionable air quality insights.