Simran Pandey
@simranpandey
Aspiring data engineer skilled in Hadoop, ETL automation, and full‑stack development.
What I'm looking for
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.
Experience
Work history, roles, and key accomplishments
Data Intern
Extenso Data
Jun 2025 - Aug 2025 (2 months)
Processed and analyzed large-scale datasets (>100 GB) using Apache Hadoop, configured and optimized a 5-node Docker-based Hadoop cluster, and automated ETL pipelines to reduce processing time by ~30% while achieving zero post-deployment bugs through comprehensive QA.
Selected for PwC Data Analytics & AI Launchpad Program and completed expert-led modules to gain hands-on experience with AI and data analytics tools, contributing to real-world projects that applied industry-standard methodologies.
Education
Degrees, certifications, and relevant coursework
Manipal University Jaipur
Bachelor of Technology, Computer Science and Engineering
2022 -
Grade: CGPA: 7.55
Pursuing a Bachelor of Technology in Computer Science and Engineering with coursework in OOPS, Operating Systems, Computer Architecture, DBMS, and Computer Networks; current CGPA 7.55.
Availability
Location
Authorized to work in
Job categories
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