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About Me:
👨💻 I'm currently working on data science projects like fraud detection, sentiment analysis, and interactive web apps.
🤝 I'm looking to collaborate on AI-driven projects, ML pipelines, and data engineering solutions.
❓ I'm looking for help with advanced deep learning techniques and deploying production-ready AI models.
📚 I'm currently learning Hadoop MapReduce, Android development, and NoSQL databases like MongoDB and Neo4j.
💡 Ask me about data visualization, machine learning, and starting your journey in data science.
✨ Fun fact: I find uncovering insights from data as exciting as solving mysteries!
- Programming Languages:
- Python
- R
- HTML5
- CSS
- Machine Learning & Data Science
- Supervised and Unsupervised Learning
- Neural Networks including Keras, TensorFlow, and PyTorch
- Data Preprocessing and Feature Engineering
- Model Evaluation and Optimization
- Algorithms like Random Forest, Decision Trees, and SVM
- Projects including Sentiment Analysis and Fraud Detection Systems
- Data Visualization using Matplotlib, Plotly, and Seaborn
- Data Handling & Databases*
- Proficiency in MySQL and MongoDB
- Understanding of NoSQL databases, including Key-Value and Graph Databases
- Experience with Hadoop MapReduce for distributed data processing
- Data Cleaning and Transformation with Pandas and NumPy
- Frameworks & Tools:
- Streamlit for web apps
- Dash for interactive dashboards
- FastAPI for API development
- Firebase for backend services
- Experience with Google Cloud Platform and AWS
- Proficiency with Anaconda as a Data Science Toolkit
- Visualization & Design Tools:
- Proficient with Canva and Figma for creating professional designs
- Web Development:
- Experience in client-side scripting using HTML
- Designing and structuring websites with a focus on usability and aesthetics
- Android Development:
- Hands-on experience with Android Intents and Activities
- UI design using Layouts and Fragments
- Integration of SQLite databases for data management
- Big Data & Distributed Systems:
- Knowledge of Apache Hadoop for data storage and processing
- Additional Skills:
- Proficient in Git and GitHub for version control
- Strong debugging and problem-solving skills
- Familiarity with Agile Development Practices
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