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πŸ‘‹ Hi, I'm Arnav Pandey

πŸŽ“ B.Tech in Data Science and Artificial Intelligence at IIIT Naya Raipur (CGPA: 9.29)
πŸ’» Machine Learning & AI Enthusiast | 🧠 Full-Stack ML Developer | 🧩 Competitive Kaggle Participant


πŸš€ About Me

I'm passionate about building end-to-end AI systems β€” from data pipelines and model training to web deployment.
My focus lies in multimodal AI, NLP, computer vision, and generative AI.
I enjoy participating in hackathons, ML competitions, and building tools that combine innovation with real-world utility.


🧠 Skills

Languages: Python, C++, SQL
Machine Learning: Scikit-learn, XGBoost, LightGBM, CatBoost, AutoGluon, Optuna
Deep Learning & CV: PyTorch, TensorFlow, Swin V2, ResNet, SupCon, OpenCV, MediaPipe, Albumentations
NLP & GenAI: HuggingFace, LangChain, Gemini API, Ollama, Stable Diffusion
Tools & Infra: Flask, FastAPI, Streamlit, RAPIDS, Pandas, NumPy, Matplotlib, GitHub Actions, Kaggle


πŸ’‘ Projects

πŸ”Š Vachan Pay – Voice-Based UPI System

  • Built a bilingual voice-controlled UPI assistant using Gemini Flash 2.0 (95%+ intent accuracy).
  • Enabled contextual chatbot transactions (check balance, send money, view history).
  • Deployed and tested across 6+ Indian accents for speech-to-text robustness.

🧩 MindSync – Multi-Modal Mental Health Analysis

  • Developed a depression scoring system via Gemini LLM-based essay evaluation.
  • Built XGBoost models for emotion prediction from student and song datasets (80% accuracy).
  • Designed a YouTube analyzer to assess user’s emotional tone across liked videos and comments.

πŸ“Š SentinalAI – Sentiment Analyzer for YouTubers

  • Full-stack app analyzing sentiment from 50+ YouTube videos using RoBERTa (F1 = 0.89).
  • Visualized 5,000+ comments via emoji heatmaps, word clouds, and sentiment pie charts.
  • Integrated Gemini Flash to auto-generate weekly reports, boosting engagement by 18%.

πŸ† Achievements

  • πŸ₯‡ 1st Place – Lazarus Mission ML Hackathon, NIT Karnataka
  • πŸ₯ˆ 2nd Place – Humidity & AI Tool Usage Prediction Challenges (MachineHack)
  • πŸ₯‰ 3rd Place – Flight Distance Prediction (MachineHack)
  • πŸ… 4th Place – NIT Kurukshetra ML Competition
  • 🧠 Top 10 Kaggle Leaderboard Finishes:
    • 9th / 4000+ – Predicting Introverts vs Extroverts
    • 38th / 2500+ – Optimal Fertilizers Prediction
  • πŸ“ˆ 1 Gold + 7 Bronze Kaggle Medals

πŸ’¬ Community & Leadership

  • 🎯 Coordinator, Technovate’25 (Sports): Managed 10-member team; raised β‚Ή80K+ through registrations.
  • 🏏 Club Head, Atharva Sports, IIIT NR: Organized 15+ inter-batch tournaments.
  • πŸ‘¨β€πŸ’» Kaggle Code Expert: Shared open-source notebooks & guides for ML learners.

🌐 Connect With Me

πŸ“§ Email: [email protected]
πŸ’Ό LinkedIn: linkedin.com/in/arnav-pandey-96334728a
πŸ™ GitHub: github.com/letusnotc
πŸ“Š Kaggle: kaggle.com/arnavsuiiiiiiiiiiii


⭐ β€œTurning data into intelligence, and intelligence into impact.”