Aspiring Data Scientist specializing in data analysis and applied machine learning. Based in New Delhi, India ๐ฎ๐ณ
Core Expertise:
- ๐ฏ Production ML deployment with 95%+ model accuracy
- โ๏ธ Cloud infrastructure (AWS) & MLOps pipelines
- ๐ง Computer Vision, NLP, and Deep Learning
- ๐ End-to-end ML lifecycle management
Current Focus 2026:
- Building scalable ML applications for agriculture & education
- Implementing CI/CD for ML models with Docker & AWS
- Contributing to open-source ML frameworks
- Developing real-time analytics dashboards
tech_stack = { "languages": ["Python", "SQL", "JavaScript"], "ml_frameworks": ["TensorFlow", "PyTorch", "Scikit-learn"], "deployment": ["Docker", "AWS", "FastAPI", "Flask"], "tools": ["MLflow", "Git", "Jupyter", "Power BI"] }
Production ML system optimizing crop yields
Python TensorFlow Flask AWS Docker
Key Achievements:
- ๐ฑ 92% accurate crop recommendation engine
- ๐ฆ CNN model detecting 40+ plant diseases
- ๐ค๏ธ Real-time weather API integration
- ๐ฑ RESTful API serving 1000+ daily predictions
Business Impact: Empowering farmers with AI-driven decisions, reducing crop loss by 30%
End-to-end MLOps pipeline with tracking
Python MLflow MySQL Flask Scikit-learn
Key Achievements:
- ๐ R2 score > 0.85 on performance prediction
- ๐ Complete MLflow experiment tracking
- ๐๏ธ Production database integration
- ๐ Deployed REST API with authentication
Technical Highlight: Full CI/CD implementation from research to production
Computer vision for autonomous systems
Python TensorFlow OpenCV CNN
Key Achievements:
- ๐ฅ Real-time video stream processing
- ๐ง 95%+ accuracy on 43 traffic sign classes
- โก Sub-100ms inference time
- ๐ฑ Live camera integration
Innovation: Contributing to safer autonomous driving technology
NLP application with ensemble learning
Python NLTK Streamlit Scikit-learn
Key Achievements:
- ๐ง Ensemble of 3 ML models (LR, RF, SVM)
- ๐ Advanced TF-IDF feature engineering
- ๐จ Real-time sentiment visualization
- ๐ฏ 90%+ classification accuracy
Use Case: Brand sentiment monitoring and customer feedback analysis
TensorFlow PyTorch Scikit-learn Keras OpenCV
Docker AWS MLflow FastAPI Flask Git
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Deploy 3+ production ML applications to AWS
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Achieve AWS ML Specialty Certification
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Contribute to 5 open-source ML projects
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Build real-time analytics platform
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Publish 10 technical articles on ML engineering
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Mentor junior data scientists
Actively seeking: ML Engineer | Data Scientist | AI Research roles
Available for: Full-time positions | Contract projects | Technical consulting
Footer Animation๐ Portfolio: vk-syntax.vercel.app
I'm always interested in discussing ML projects, data science opportunities, or potential collaborations.
Response time: Within 24 hours โก
