Hi, I'm Alok Deep, an MCA Data Science student passionate about Machine Learning, NLP, Computer Vision and Web Development. I love integrating AI/ML features into web applications and solving real-world challenges using data-driven solutions.
✅ Data Preprocessing, Feature Engineering, Model Building
✅ Supervised & Unsupervised Learning (Regression, Classification, Clustering)
✅ Deep Learning (ANN, CNN, RNN, Transformers)
✅ Natural Language Processing (NLP), Computer Vision
✅ Recommendation Systems (Collaborative & Content-Based Filtering)
✅ AI Chatbots (Multi-Agent Systems, RAG, LLMs)
✅ ML/DL: Scikit-learn, TensorFlow, Keras, PyTorch
✅ NLP: Hugging Face Transformers, NLTK, SpaCy
✅ Computer Vision: OpenCV, YOLO, Mediapipe, FaceNet, ResNet
✅ Data Engineering: Apache Airflow, Apache Spark
✅ Cloud Services: AWS, GCP
✅ Data Visualization: Matplotlib, Seaborn, Power BI, Tableau
✅ Frontend: React.js, Redux, Tailwind CSS, Streamlit, Gradio
✅ Backend: Node.js, Express.js, Flask, FastAPI
✅ Database: MySQL, MongoDB, Firebase, PostgreSQL
✅ API Development: RESTful APIs, Postman
✅ Docker, Kubernetes, Vercel, Render, GitHub Actions
✅ CI/CD, Cloud Deployment (AWS, Firebase)
Institute of AI, Dev Sanskriti Vishwavidyalaya
- Contributed to machine learning model research and development, specializing in Natural Language Processing (NLP) and Web Development.
Developed a multi-agent AI chatbot to enhance e-commerce customer service, capable of handling order inquiries, FAQs, and personalized recommendations. Agents:
- Guard Agent: Filters inappropriate/irrelevant queries.
- Order Taking Agent: Uses chain-of-thought reasoning for guided ordering.
- Details Agent (RAG System): Retrieves menu details, allergens, FAQs.
- Recommendation Agent: Provides personalized product recommendations.
- Classification Agent: Routes queries to the correct agent based on intent classification.
- Tech Stack: FastAPI, LangChain, Llama3, PostgreSQL, FAISS, Docker, Gradio
- Developed a multilingual hate speech classifier for Indian languages (Hindi, Marathi, Bengali, Tamil, English) capable of analyzing text and YouTube comments.
- Tech Stack: Python, Flask, Torch, Hugging Face Transformers, YouTube API, React
- Implemented a facial recognition system supporting real-time video streaming, face detection, and secure data handling.
- Tech Stack: Python, OpenCV, TensorFlow, SQLite, React, Docker
- Built a recommendation engine suggesting restaurants based on user preferences, location, and interactions.
- Tech Stack: Python, Flask, Scikit-Learn, Pandas, React.js, MongoDB
- Developed a machine learning model to predict restaurant ratings using customer reviews, location, and service quality.
- Tech Stack: Python, TensorFlow, Scikit-Learn, Pandas, Matplotlib, Flask
- Conducted a data-driven analysis of restaurant performance and customer engagement trends.
- Tech Stack: Python, Pandas, Seaborn, Tableau, GeoPandas
- Data Engineering Foundations Professional Certificate by Astronomer (Apr. 2025) - LinkedIn Learning
- Complete Data Science, Machine Learning, DL, NLP Bootcamp (Feb. 2025) - Udemy
- The Web Developer Bootcamp (Feb. 2023) - Udemy
🚀 Always open to learning and collaborating on impactful projects! Feel free to connect! ✨