Data Science Manager- GenAI

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.