Nishant Das
Computer Science & Statistics Student @ University of Delhi | AI • Data Science • Machine Learning | Prompt Engineering | Building Intelligent Systems with Code & No-Code
Computer Science Honours student with a growing interest in Data Science, Artificial Intelligence, and AI-driven product development. I enjoy building practical solutions using Generative AI, automation workflows, web technologies, and data-driven approaches.
My current areas of exploration include AI Agents, Prompt Engineering, Cloud Technologies, and intelligent systems that enhance productivity and decision-making. Through projects, open-source participation, hackathons, and continuous learning, I aim to bridge the gap between academic concepts and real-world applications.
Passionate about innovation, technology, and lifelong learning, I am constantly seeking opportunities to create, collaborate, and contribute to impactful solutions.
Professional Experience
• Foster a strong student tech community by connecting peers with opportunities in AI, hackathons, internships, workshops, and skill development programs.
• Organize and promote technical events, awareness campaigns, and community initiatives to increase student participation.
• Collaborate with the CampusUnite team to execute engagement strategies and expand the platform's presence on campus.
• Guide students toward career resources, AI-powered learning tools, and networking opportunities that support their professional growth.
• Build meaningful connections between students and the broader technology ecosystem through community-driven initiatives.
My responsibilities include:
• Promoting AI-native developer tools, events, and learning opportunities across campus.
• Organizing and supporting technical workshops, hackathons, coding sessions, and community meetups.
• Connecting students with hands-on experiences in AI, APIs, automation, and emerging technologies.
• Creating technical content and spreading awareness about product launches, developer resources, and community initiatives.
• Collaborating with student clubs and developer communities to increase engagement and participation.
• Gathering feedback from students to help improve the overall developer experience.
• Building meaningful connections between aspiring developers and the broader AI ecosystem while encouraging collaborative learning and innovation.
Featured Projects
Trust-First AI Hiring Portal
A showcase MVP for a trust-first AI hiring platform that demonstrates how recruiters can screen candidates faster while keeping the process transparent, explainable, and easy to review.
AI Study Planner
AI Study Planner is an intelligent study scheduling web application that generates personalized day-by-day revision plans based on the number of days available, the subjects to cover, and the topics a student finds difficult.
Trend Predictor
TrendPredictor is an interactive time series forecasting web application built with Streamlit and Facebook Prophet. It allows users to explore multiple time series, adjust hyperparameters, train models, and detect anomalies—all through a beautiful, modern UI.
PlantPal
PlantPal is an intelligent web application that helps plant lovers diagnose diseases from leaf photos. Using a deep learning model trained on the PlantVillage dataset, it identifies 15 common diseases across pepper, potato, and tomato plants with 93% validation accuracy.
Prodigy-AI
An intelligent desktop Personalized AI assistant featuring voice control, GUI, automation, memory, web search, weather, and system management.