- 🔬 Machine Learning Enthusiast with hands-on experience in ML, Data Science, and MLOps.
- 💡 Passionate about solving real-world problems using AI.
- 🏆 Achieved high performance in Kaggle Competitions and ML projects.
- 📚 Open to collaborations and always excited to learn!
- 🏆 Kaggle Competition Top 10 leaderboard!
- 📊 Optimized SVM for 82% accuracy.
- 🔍 Improved accuracy by 1% using TF-IDF Vectorizer.
- 📈 Achieved 98% accuracy using CNNs with TensorFlow.
- 🎨 Implemented data augmentation to prevent overfitting.
- 🏎️ Optimized Adam optimizer for efficiency.
- 🏁 Combined A2C algorithm with Evolutionary Strategies.
- ⚡ 15% faster training time.
- 🎯 Consistent reward maximization.
- 🧬 Evolved neural network weights using Genetic Algorithm.
- 📈 Achieved high performance with max game score.
- 🕹️ Developed an autonomous Snake Game AI.
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🏅 Machine Learning Intern @ Tigbat Industries
- 📈 Built battery cycle life prediction model with 87% accuracy.
- 🔍 Performed feature engineering on battery degradation data.
- 🛠️ Optimized RandomForest & XGBoost models.
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🎯 Competitive Programming & AI Development
- 💡 Custom implementation of ML algorithms.
- 🚀 Developed API Rate Limiting, QR-based File Transfer, CLI tools.
- 📊 Strong background in Graph Algorithms & Data Structures.
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