💫 About Me
Hi, I'm Rajdip — a recent graduate with a B.Tech in Computer Engineering, passionate about AI/ML, Software Development, and Data Science.
I have a strong analytical and problem-solving mindset, with the ability to translate complex technical concepts into practical business solutions—ensuring effective collaboration and timely project delivery.
I have hands-on experience building end-to-end Machine Learning pipelines using Python, Scikit-learn, XGBoost, Flask, and FastAPI. My work includes:
- Fraud detection systems (ROC-AUC: 0.92)
- Time-series forecasting models
- NLP-based recommendation systems
I am skilled in:
- Data preprocessing & feature engineering
- Model evaluation (MAE, RMSE, F1-score)
- Deploying ML models into production-ready applications
Additionally, I have experience in web and mobile application development using React, Next.js, Flutter, Firebase, and REST APIs.
Languages: Python, JavaScript, Java, SQL, HTML5/CSS
Databases: MongoDB, MySQL, Firebase
Frameworks & Technologies: Flutter, React, Next.js, Node.js, Flask, FastAPI, TensorFlow, PyTorch, LangChain
Developer Tools: Git, Docker, Kubernetes, MLflow, Postman, Jira
Platforms & Cloud: GitHub, AWS, GCP, Azure
Data & Analytics Tools: Microsoft Excel, Power BI
Libraries: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Keras, SpaCy, OpenCV
