fharook shaik

• Contributing as the sole end-to-end technical member on a university research initiative to detect and map photovoltaic infrastructure across Germany using high-resolution Sentinel-2 satellite imagery. • Handling the complete data preparation pipeline including multi-band processing (RGB, NWIR, NDVI and other spectral indices) to maximise feature separability for solar panel detection. • Developing deep learning segmentation workflows and providing technical assistance to Ph.D. researchers in energy infra

• Designed and owned end-to-end SAP log analytics pipelines (Python, SQL, Bash) extracting, transforming, and loading 1-2 GB of daily system log data from 100+ SAP production environments into a centralised database powering Power BI dashboards. • Conceptualised and implemented an automated hourly archiving pipeline that mounts production SAP drives read-only onto a dedicated dev server, preserving production CPU/RAM, eliminating manual log deletion and archiving 10–15 GB of data across distributed systems.

• Supported data extraction, cleaning, and analysis for enterprise SAP application services, generating actionable insights for operational improvements. • Co-authored standardised documentation for data workflows, improving process consistency and cross-team collaboration.

• Developed modular functions for an open-source RPA (Robotic Process Automation) tool, automating repetitive data workflows to improve operational efficiency. • Mentored participants at ClointFusion hackathons, including an event co-hosted with IIT Dharwad, fostering data-driven problem solving among student developers.