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Sushumna Singh

@sushumnasingh

Message

I’m a Data Scientist focused on Generative AI, building production ML and RAG systems.

India

Message

What I'm looking for

I’m looking to build advanced AI-driven solutions and scalable intelligence systems—focused on Generative AI, production ML, and RAG APIs—where measurable business impact, clean deployment, and responsible explainability matter.

I’m a career-driven AI engineering professional specializing in Artificial Intelligence with a focus on Generative AI and Machine Learning. I build end-to-end, production-ready solutions for customer intelligence—spanning machine learning, embeddings, semantic search, and explainability—using Python and SQL.

At ZS Associates, I developed commercial analytics solutions, including churn prediction, therapy propensity modeling, and HCP segmentation, and I designed marketing mix optimization frameworks that improved customer retention and increased marketing ROI. I also created LLM-powered and agentic document intelligence systems using retrieval-augmented generation (RAG), hybrid retrieval (FAISS + BM25), FastAPI deployments, and grounded answer generation with source attribution.

Experience

Work history, roles, and key accomplishments

Machine Learning Data Scientist

ZS Associates

Sep 2023 - Jan 2026 (2 years 4 months)

Developed end-to-end ML analytics solutions in Python and SQL, building churn prediction, therapy propensity modeling, and HCP segmentation to support customer intelligence and targeting. Designed hybrid retrieval and segmentation approaches that increased conversion by 14% and reduced customer acquisition cost by 9%.

Python SQL XGBoost scikit learn Faiss SHAP K Means Vector Databases fastAPI

Data Science Intern

Telerad Tech

May 2022 - Jul 2022 (2 months)

Built deep learning models for pulmonary embolism detection in CT scans (AUC 0.92, F1 0.85) and performed radiology report text classification (F1 0.88). Improved report triaging efficiency by automating categorization and reducing manual review time by 40%.

Python SQL Pyspark PyTorch TensorFlow ResNeSt 50 Grad CAM BiLSTM Bi LSTM

Education

Degrees, certifications, and relevant coursework

Indian Institute of Science

M.Tech., Computational AI

Activities and societies: Projects included agentic document intelligence with RAG (FAISS, BM25 hybrid retrieval) and productionization of classical ML models.

M.Tech in Computational AI focused on designing and deploying end-to-end ML and AI-driven systems for customer intelligence, segmentation, churn prediction, and marketing optimization. Built and productionized classical ML models (e.g., Decision Trees, XGBoost, K-Means, regression) with measurable business impact and developed an agentic document intelligence system using RAG.

Dr. Ambedkar Institute of Technology for Handicapped

B.Tech., Biotechnology

Activities and societies: LLM-powered customer intelligence system using embeddings-based semantic similarity, SHAP explainability, and ontology mapping.

B.Tech in Biotechnology focused on developing an LLM-powered customer intelligence system for converting unstructured reviews into structured, decision-ready insights. Implemented API-based LLMs, embeddings semantic similarity, SHAP explainability, and ontology mapping.