class AasimAnsari: def __init__(self): self.name = "Mohd Aasim Ansari" self.role = "Aspiring Data Scientist & AI Engineer" self.expertise = ["Data Science", "Machine Learning", "Deep Learning", "NLP", "Computer Vision", "Gen AI", "RAG Pipelines", "Agentic AI", "Multi-Agent Systems", "Full Stack Development"] self.stack = { "Data Science" : ["Pandas", "NumPy", "scikit-learn", "XGBoost", "TensorFlow", "PyTorch", "Matplotlib", "Seaborn"], "Gen AI" : ["LangChain", "LangGraph", "OpenAI API", "HuggingFace", "RAG", "Groq", "Ollama", "LlamaIndex"], "Agentic AI" : ["CrewAI", "AutoGen", "LangGraph", "Multi-Agent Systems"], "Full Stack" : ["Python", "React", "FastAPI", "Node.js", "MongoDB", "TailwindCSS", "Flask", "TypeScript"], } self.current_focus = "Full Stack Data Science with Gen AI and Agentic AI" self.open_to = ["Full-Time Roles", "Internships", "Open Source Contributions", "Collaborations"] def __repr__(self): return "Always learning. Always building. Always delivering. 🚀"
The full pipeline — from raw data to deployed agents · ⭐ marks what I have shipped in a project
Python ⭐ |
JavaScript ⭐ |
TypeScript ⭐ |
Bash |
MySQL |
PostgreSQL ⭐ |
MongoDB ⭐ |
Pandas ⭐ |
NumPy ⭐ |
SciPy |
Matplotlib ⭐ |
Seaborn ⭐ |
Plotly ⭐ |
Jupyter ⭐ |
scikit-learn ⭐ |
![]() XGBoost ⭐ |
LightGBM ⭐ |
CatBoost ⭐ |
TensorFlow |
PyTorch |
OpenCV ⭐ |
OpenAI ⭐ |
HuggingFace |
LangChain |
LlamaIndex |
Ollama |
Groq |
LangGraph |
CrewAI |
MCP |
React ⭐ |
Vite ⭐ |
Tailwind ⭐ |
Streamlit ⭐ |
Node.js ⭐ |
Express ⭐ |
FastAPI ⭐ |
Flask ⭐ |
Socket.IO ⭐ |
JWT ⭐ |
Docker ⭐ |
Git ⭐ |
GitHub ⭐ |
Linux ⭐ |
Actions ⭐ |
Render ⭐ |
VS Code |
Postman |
Anaconda |
Figma |
| Project | What it does | Stack |
|---|---|---|
| 📈 SalesCast AI | Sales forecasting · 5 models · anomaly detection · RFM segmentation | XGBoost · ARIMA · Prophet · LSTM |
| 🏙️ Smart City Analytics | Traffic, pollution, transport & energy analytics with ML | Python · Pandas · scikit-learn |
| 💸 AI Job Salary Estimator | Instant salary predictions from job features | XGBoost · LightGBM · CatBoost · Streamlit |
| 📰 FakeShield | NLP fake-news detector · 95% accuracy · confidence scores | TF-IDF · scikit-learn · Flask |
| 🤖 AI Resume Screener | Rank 100s of resumes by job relevance | Python · spaCy · Flask |
| 🚦 Smart Traffic System | Dynamic signal control · emergency override | YOLOv8 · OpenCV · Computer Vision |






