At Space Applications Centre (SAC) – ISRO, I developed Python-based time-series data pipelines for the Graphical Tele-command & Telemetry Application. I also implemented real-time satellite subsystem health analysis and visualization.
I used Pandas and NumPy for statistical analysis of telemetry data, reducing noise. My work also included monitoring logic that reduced manual monitoring effort and enabled proactive system alerts.
On Upwork, I built AI agents to automate task-specific workflows using Python, LLMs, APIs, and tool-calling. I also built a Random Forest anomaly detection system that achieved 98.97% accuracy and 98.94% F1-score on a 60,021-record dataset.
