Machine Learning Data Science

Aditya Champaneri

Hoboken, NJ +1-201-***-**** *********@*******.*** LinkedIn GitHub Blogs Portfolio EDUCATION

Stevens Institute of Technology – Hoboken, NJ, USA May 2026 Master of Science in Computer Science Provost’s Scholarship ($14000) GPA: 3.83/4.00 Sal Institute of Technology and Engineering Research – Gujarat, India June 2023 Bachelor of Engineering in Computer Engineering GPA: 3.42/4.00 PROGRAMMING SKILLS

Programming and Database: Python, JavaScript, R, C++, Java, SQL, Pinecone, ChromaDB, PostgreSQL, MongoDB Frameworks & Technologies: Django, Flask, NextJS, ReactJS, FastAPI, Machine Learning, NLP, Prompt Engineering LLMs and Agent Frameworks: AutoGen, PhiData, CrewAI, OpenAI, Gemini, Claude, Llama, Qdrant, n8n, Make AI/ML Libraries TensorFlow, PyTorch, LangChain, Hugging Face, Keras, OpenCV, Transformers Tools: Docker, Git, GitHub, Kafka, Microsoft Excel, Word, PowerBI, Tableau, WordPress, FlutterFlow, Kaggle, Jira Deployment Platforms: AWS, GCP, Azure, Streamlit, Gradio, GitHub, Vercel, Heroku, Kubernetes, CI/CD pipeline Certifications: AWS Certified Cloud Practitioner by AWS Python for Data science, AI & Development by IBM PROFESSIONAL EXPERIENCE

Schoolg, Founding Team AI & Research – Gujarat, India December 2023 – August 2024

• Secured a $7,200 government grant by leading product development and improving platform features.

• Coordinated partnerships with industry experts and counsellors refining platform functionality for optimal user experience and cohesive integration with standard tools.

• Conducted user research and feedback analysis to identify key pain points, leading to targeted improvements and higher user satisfaction.

9Series, Software Developer Intern – Gujarat, India February 2023 – July 2023

• Engineered and maintained backend systems, PostgreSQL & MySQL databases for live projects using Python and Django, enhancing dashboard features for optimized 80% performance.

• Optimized complex data exchange processes with databases, increasing overall system efficiency by 40% and reducing query response times.

PERSONAL PROJECTS

DuckBot – AI-Powered Campus Assistant Python, LLM, RAG, Langchain, LangGraph, Vectordb

• Built an AI chatbot for international students, streamlining access to student services, research opportunities, and transportation, improving response efficiency by 45%.

• Integrated structured data retrieval for academic and campus resources and professor directories, enhancing accessibility by 50%.

• Designed a scalable RAG-based architecture for retrieving real-time campus information, improving response accuracy and relevance.

Stock AI Agent – Financial Insights & News AI Agents, Python, LLM, Groq, Yahoo Finance, DuckDuckGo API

• Developed AI-driven financial agents using PhiData framework, OpenAI, and Yahoo Finance API, enabling real-time stock analysis, company insights, and intelligent news retrieval, improving data retrieval efficiency by 40%.

• Implemented modular AI agents with customizable prompts, secure API key management, and dynamic web data fetching via DuckDuckGo API, enhancing automated data-driven decision-making by 35%.

• Deployed AI-powered trend analysis to identify emerging stock patterns, improving market insight capabilities.

SkyScore – Passenger Satisfaction Insight Machine Learning Algorithms, Optimizations, Data Analysis

• Achieved 96.04% accuracy in predicting passenger satisfaction using XGBoost, outperforming other models such as Random Forest (95.91%) and LSTM (95.88%).

• Analyzed 100,000+ passenger records to identify key satisfaction indicators, enabling airlines to enhance service quality and optimize resource allocation. ACHIEVEMENTS

LinkedIn 2x Top AI Voice Mentored and Judged students in Tech Events & Hackathons GCP 50+ Badges Won the SIH hackathon at the college level Mentored school students at the AI for All event powered by Intel

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