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Nausheen RabbaniNR
Open to opportunities

Nausheen Rabbani

@nausheeen

Computer science undergraduate building full-stack and ETL-ready data pipelines; eager to grow into impactful software engineering roles.

India
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What I'm looking for

I’m looking to grow as a software engineer by building real-world data and web applications, applying ETL and data-quality practices, and collaborating with a strong team that offers mentorship and fast learning.

I’m a computer science undergraduate with a strong grasp of data structures and algorithms, and a hands-on mindset for building projects that solve real problems. I enjoy turning requirements into working systems—whether that’s data pipelines, web features, or complete product flows.

At ISRO (Indian Space Research Organisation) RRSC, I worked as a Project Trainee where I built and validated ETL-style pipelines for large-scale satellite geospatial data. I automated data processing workflows in R, cutting manual effort by ~80%, and I performed data quality checks and feature validation across pipeline stages to improve reliability.

In my projects, I’ve focused on full-stack impact and interactive experiences. BetterBasket is a sustainable e-commerce platform built with React.js, Node.js, MongoDB, and TailwindCSS, including a dynamic GreenScore system and recommendation engines for 50+ SKUs. Woke is a mood-reactive music player that detects mood in real time using Web Audio API FFT analysis and streams music via Spotify Web Playback SDK.

I also contribute through documentation and systems thinking: I authored an SRS with UML diagrams, test cases, and architecture following an Agile model, and I’ve built network simulations using Cisco Packet Tracer (STP/RSTP, VLANs, and failover testing). Outside projects, I’m driven by competitive problem-solving—LeetCode 350+ problems with a Gold Badge, and strong contest performance like the ICPC 2025 Online Winter Challenge.

Experience

Work history, roles, and key accomplishments

ISRO RRSC logoIR

Project Trainee

ISRO RRSC

Jul 2024 - Sep 2024 (2 months)

Built and validated ETL-style pipelines for large-scale satellite geospatial data, automating processing workflows in R and cutting manual effort by ~80%. Performed data quality checks and feature validation across pipeline stages to improve performance and reliability on high-volume data processing.

Education

Degrees, certifications, and relevant coursework

HT

Heritage Institute of Technology

Bachelor of Technology, Computer Science and Engineering

2022 - 2026

Pursuing a B.Tech in Computer Science and Engineering at Heritage Institute of Technology from 2022 to 2026.

LS

Lal Bahadur Shastri Sr. Sec. School

2019 - 2021

Grade: 85.6%

Completed secondary education at Lal Bahadur Shastri Sr. Sec. School from 2019 to 2021, securing 85.6%.

HS

Himalayan English School

2019 -

Grade: 91.6%

Studied at Himalayan English School in 2019, securing 91.6%.

Tech stack

Software and tools used professionally

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