Applied Data Scientist
Turning data into predictive models and production-ready systems — from pipelines and experimentation to deployment and monitoring.
Forecasting · Risk modeling · Experimentation · MLOps — plus RAG, LLM evaluation, and agents where they add value.
Core Applied Data Science
Python
SQL
Pandas/NumPy
scikit-learn
EDA
Feature Engineering
Model Evaluation
Experimentation (A/B)
Statistics
Data Modeling/ETL
Data Visualization
Time Series
GenAI + Production
LLMs
NLP
Text Embeddings
RAG
PyTorch/Transformers
Guardrails & Evaluation
Agents/Orchestration
FastAPI
Docker
CI/CD
Monitoring
LangChain
GCP
Azure



