I build practical AI, data science, and automation-based projects while working on real-world products and community-led learning initiatives.
I am Aman Sharma, a B.Tech Electronics and Communication Engineering student from Arya College of Engineering & IT, Jaipur. I am focused on Data Science, Machine Learning, AI, NLP, automation, and AI-assisted product development.
I believe in learning by building. Instead of only studying theory, I try to convert ideas into real projects, test them, improve them, and ship them.
I have built practical projects in healthcare AI, NLP, web scraping, dashboards, automation, and data analysis. I am also building DairyWalla, a live dairy distributor ordering platform, and leading NextGen Data Minds, a 400+ member student-led AI, ML, and Data Science community.
My current focus is on strengthening Data Science, Machine Learning, Generative AI fundamentals, DSA, and building portfolio-level projects that solve real problems.
I focus on understanding the real problem before jumping to solutions.
I have led teams across hackathons and built a 400+ member student tech community.
I believe in building fast, testing fast, and improving through feedback.
I convert raw ideas into practical products, projects, and workflows.
I think beyond code and focus on users, workflows, business problems, and real-world value.
I use AI tools to speed up development, debugging, workflow building, and product implementation.
I use AI tools like Gemini and Cursor for faster prototyping, debugging, website/app development, automation, and system integration. I am currently learning Generative AI fundamentals and will dive into advanced Agentic AI later.
DairyWalla is a live dairy distributor ordering platform built to reduce WhatsApp/call-based order confusion between shopkeepers and distributors.
Dairy distributors often receive orders through WhatsApp, phone calls, and manual registers, which creates confusion, missed orders, wrong entries, and billing issues.
DairyWalla provides a digital catalog and order workflow where shopkeepers can place orders and distributors can manage them more systematically.
I used AI-assisted tools like Gemini, Cursor, Kiro, VS Code, and automation workflows to rapidly design, build, debug, and improve the product.
NextGen Data Minds is a 400+ member student-led AI, Machine Learning, Data Science, and technology community focused on practical learning, projects, hackathons, internships, mentorship, and real-world skill development.
To reduce the gap between academic learning and industry-level practical skills.
To scale from local level to national and global level by connecting students, mentors, startups, companies, and industry experts.
A healthcare-focused system built around smart health records, digital health identity, emergency response workflows, and AI-assisted support logic.
A machine learning project that classifies news articles as real or fake using NLP preprocessing, vectorization, model training, and evaluation.
An advanced web scraping project that extracts news articles from the Aaj Tak website using BeautifulSoup and presents the workflow through Streamlit.
A Streamlit web app that analyzes exported WhatsApp chat files and generates message statistics, timelines, activity maps, and user-wise insights.
A retail analytics dashboard built to analyze sales trends, regional performance, repeat customers, revenue ranking, and customer behavior.
A healthcare automation workflow using n8n, webhooks, AI logic, and system integration to automate healthcare support workflows.
Notebook Expert
Discussion Expert
Team: ML Creators
Prize: INR 25,000
Built real-world prototypes under deadlines. Improved leadership, teamwork, problem-solving, and rapid execution.
Built a live B2B SaaS product. Website ranking on Google. Play Store launch in progress.
400+ member student-led tech community. Focused on AI, ML, Data Science, projects, and hackathons.