Data Science Manager- GenAI

Data Science Manager

Core Competencies:

• Programming & Tools:

  Python, SQL, Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow

• GenAI & LLM Frameworks:

  LangChain, LangGraph, RAG pipelines, OpenAI API, Hugging Face, Vector Databases (FAISS, Chroma, Pinecone)

• Machine Learning & Data Science:

  Predictive Modeling, NLP, Deep Learning, Feature Engineering, Model Deployment

• Data Engineering:

  ETL Pipelines, Data Wrangling, Cloud Platforms (AWS / Azure / GCP)

• MLOps & Deployment:

  Docker, FastAPI, Streamlit, MLflow

• Soft Skills:

  Cross-functional collaboration, business problem-solving, stakeholder communication

Career Highlights:

• Designed and deployed

  RAG-based LLM applications

  for knowledge management and enterprise automation.
• Implemented

  end-to-end machine learning pipelines

  improving model efficiency and interpretability.
• Spearheaded data-driven initiatives integrating

  GenAI

  into existing business processes for decision support and customer engagement.