VIPLAV NAGPAL
CincinnaƟ,Ohio
Summary
Driven and analytical engineering student with a passion for applying machine learning to solve complex challenges. Hands-on experience developing a full-stack exoplanet classification system, achieving 98.7 accuracy with a Gradient Boosting model. Adept at data analysis, algorithm implementation, and collaborating effectively in a team environment to deliver innovative and impactful results.
Overview
2
2
years of professional experience
Work History
ExoDetect
Nasa Space Apps Challenger - Global Hackathon
10.2025 - 10.2025
- Architected a full-stack Python application using a Gradient Boosting ensemble model (Scikit-learn) to classify exoplanet candidates from NASA's Kepler, TESS, and K2 datasets with up to 98.7% accuracy.
- Engineered a closed-loop, automated MLOps pipeline that appends new user-submitted data to the source dataset, triggering a full data re-cleaning and model retraining cycle to continuously improve the system.
- Developed a dynamic frontend with HTML, CSS, and JavaScript, featuring mission-specific input forms, an interactive archive search, and a live performance dashboard connected to a Flask backend with RESTful API endpoints.
Data Analyst Intern
Snowman Logistics Limited
08.2024 - 12.2024
- Simplified complex logistics data from India's cold-chain sector into clear, easy-to-understand visualizations for senior leadership.
- Analyzed competitor warehouse and fleet networks, presenting the findings to highlight key operational gaps and market opportunities.
- Developed data-driven reports and dashboards that accelerated the strategic decision-making process for the executive team.
Full Stack Developer Intern
FEPL Engineering Pvt Ltd
05.2023 - 07.2023
- Developed responsive web applications using HTML, CSS, and JavaScript frameworks.
- Collaborated with cross-functional teams to gather requirements and design software solutions.
- Assisted in database management and optimization using SQL for enhanced performance.
Education
Bachelor of Science - Computer Science
University of Cincinnati
Cincinnati, Ohio, USA05.2029
Skills
- Languages: Python, Java, C, JavaScript, MATLAB, SQL, Bash
- Web Development: HTML, CSS, Reactjs, Django, Flask, REST APIs
- AI/ML & IoT: OpenCV, TensorFlow, PyTorch, Scikit-Learn SpeechRecognition, PyAudio, Arduino, ESP32
Personal Projects
ALZIE
Alzheimer’s Assistance Prototype
- Built a Raspberry Pi & Arduino IoT prototype to enhance safety for Alzheimer's patients.
- Implemented facial recognition (OpenCV) and voice commands for intuitive user interaction.
- Integrated a biometric sensor network to transmit real-time safety alerts via Bluetooth.
- Orchestrated hardware integration using serial communication for responsive system performance.
- Built a Python-based virtual assistant to automate tasks like email composition, calling, and smart device control.
- Integrated multiple third-party APIs to expand functionality for complex, real-time task automation.
- Managed a 14-month solo development cycle, dedicating 20+ hours/week to feature enhancement and system optimization.
Timeline
ExoDetect
Nasa Space Apps Challenger - Global Hackathon
10.2025 - 10.2025
Data Analyst Intern
Snowman Logistics Limited
08.2024 - 12.2024
Full Stack Developer Intern
FEPL Engineering Pvt Ltd
05.2023 - 07.2023
Bachelor of Science - Computer Science
University of Cincinnati