Open to opportunities

Aditi Nagpal

@aditinagpal

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Aspiring computer scientist specializing in full-stack and ML solutions.

India

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What I'm looking for

I seek roles that combine full-stack development and ML/research challenges where I can build production-ready systems, work collaboratively in agile teams, and grow technical leadership while impacting product decisions.

I am a computer science undergraduate combining full-stack development and machine learning to build scalable, data-driven products. I have designed predictive models with 98%+ accuracy and developed MERN and Next.js applications deployed on Vercel, focusing on secure authentication and real-time features.

My research experience includes optimizing computational offloading for multi-UAV MEC systems using hierarchical DDPG with LSTM, conducting 500+ DRL training simulations that reduced latency and improved reliability. I translate technical findings into interactive dashboards and tools that inform strategic decisions, including retention forecasting and budget planning.

I am collaborative, adaptive, and outcomes-focused — active in debate and research presentation, with strong algorithmic foundations evidenced by 500+ solved coding problems and selection to a global women-in-tech cohort on merit.

Experience

Work history, roles, and key accomplishments

Data Science Intern

Unified Mentor

Jul 2024 - Aug 2024 (1 month)

Designed predictive models for employee attrition and sales forecasting achieving 98%+ accuracy and reduced forecast errors by 30%; built interactive dashboards to improve workforce planning efficiency.

Python SQL Dashboards Machine Learning Streamlit Data Visualization

Research Intern

Telecommunications Laboratory, UIET

Jul 2024 - Aug 2024 (1 month)

Researched computational offloading optimization in multi-UAV MEC systems using Hierarchical DDPG with LSTM, conducting 500+ DRL training simulations to reduce task latency and improve system reliability.

Python Simulation UAV MEC Research

Education

Degrees, certifications, and relevant coursework

University Institute of Engineering and Technology

Bachelor of Engineering, Computer Science and Engineering

2022 -

Grade: 8.65 CGPA

Activities and societies: Research internship on multi-UAV MEC systems, debated in UIET MUN, member of Debating Society, presented at CHASCON 2024, selected for SheFi Cohort 14

Pursuing a Bachelor of Engineering in Computer Science and Engineering with a CGPA of 8.65, focusing on machine learning, systems, and full-stack development.