Data Science Manager
with
8–10 years of experience
in data analytics, machine learning, and AI-driven solutions. Expert in
Python
and experienced in designing, developing, and deploying
Generative AI
applications using
Large Language Models (LLMs) ,
Retrieval-Augmented Generation (RAG)
frameworks, and
LangChain / LangGraph
ecosystems. Adept at transforming complex business challenges into actionable, data-backed insights and intelligent automation systems. Passionate about leveraging AI to deliver scalable, high-impact solutions across diverse domains.
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.
Data Science Manager • Delhi, India