Simran Pandey

I am an aspiring data engineer with hands-on experience processing large-scale datasets, configuring distributed Hadoop clusters, and automating ETL pipelines to improve efficiency.

During a PwC Data Analytics & AI Launchpad program I gained practical exposure to industry-standard analytics and AI methodologies and applied those learnings to real-world problems.

As a data intern at Extenso Data (Nepal) I managed a Docker-based 5-node Hadoop cluster, processed datasets exceeding 100 GB, automated end-to-end ETL workflows reducing processing time by ~30%, and executed QA test plans that resulted in zero post-deployment production bugs.

I also conduct applied research in IoT security — simulating 30+ Contiki‑NG/Cooja nodes to evaluate blackhole attacks in RPL, delivering resilience techniques that improved packet delivery by 25% and extended network lifetime by 15%, and presenting findings at WCONF 2025.