Building Data-Driven Solutions β’ Machine Learning & Deep Learning β’ NLP & Computer Vision β’ Generative AI & AI Agents
Name: Ankit Kumar Jha
Role: Data Scientist | Machine Learning Engineer
Specializations:
- Data Science & Analytics
- Machine Learning
- Deep Learning
- Natural Language Processing
- Computer Vision
- Generative AI
- LLM Applications
- RAG & AI Agents
- Django & ML Deployment
Mission:
Building data-driven intelligent systems that solve real-world business problems.π’ Building End-to-End Data Science & Machine Learning Projects
π’ Developing Deep Learning & Computer Vision Solutions
π’ Exploring Generative AI, LLMs & RAG
π’ Learning AI Agents & Agentic Workflows
π’ Strengthening NLP & Transformer-Based Applications
π’ ML Model Deployment with Django
π’ Continuous Learning & Problem Solving
| Domain | Technologies |
|---|---|
| Data Science | Python, NumPy, Pandas, Matplotlib, Seaborn |
| Machine Learning | Scikit-learn, Regression, Classification, Clustering |
| Deep Learning | ANN/MLP, CNN, YOLOv8 |
| NLP & Transformers | BERT, DistilBERT, Hugging Face |
| Generative AI | LLMs, Prompt Engineering, AI Agents |
| RAG Systems | RAG, LangChain, Vector Databases |
| Backend Development | Django, FastAPI |
| Databases | MySQL, PostgreSQL, SQL |
| Programming | Python, Java, C++ |
| Tools & Platforms | Git, GitHub, VS Code, Google Colab |
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β Applications β
β Django β’ APIs β
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β Data & Analytics β
β Python β’ Pandas β’ SQL β
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β ML / AI Layer β
β Scikit-learn β’ CNN β’ YOLO β
β NLP β’ Transformers β
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β Emerging AI β
β GenAI β’ LLMs β’ RAG β
β AI Agents β’ LangChain β
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AI-powered business analytics system that detects unusual KPI changes and investigates possible business causes using data-driven evidence.
Tech: Python β’ SQL β’ Scikit-learn β’ AI Agents β’ Django
Machine learning project predicting customer booking completion and evaluating model performance using classification metrics.
Tech: Python β’ Pandas β’ Scikit-learn β’ Random Forest β’ Data Analysis
NLP system for analyzing public comments and classifying them into negative, neutral, and positive sentiment using DistilBERT.
Tech: Python β’ NLP β’ DistilBERT β’ Hugging Face β’ Django
Deep learning-based traffic sign detection system supporting 61 different traffic sign classes using YOLOv8.
Tech: Python β’ YOLOv8 β’ CNN β’ Computer Vision β’ Google Colab
- Generative AI & LLMs
- RAG Systems
- LangChain
- AI Agents & Agentic Workflows
- Prompt Engineering
- LLM Application Development
- MLOps & Model Deployment
β Data Analysis & Machine Learning
β Deep Learning & Computer Vision
β NLP & Transformer Models
β Python & SQL
β ML Model Development
β Django-Based ML Deployment
β Data Preprocessing & Feature Engineering
β Model Evaluation & Optimization
β Building End-to-End ML Projects
β Unlocking GenAI skills - LLM, LangChain, RAG and many more....