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I am a data scientist with 3+ years of experience delivering end-to-end ML solutions across finance, retail, and healthcare. I translate large-scale structured and unstructured data into actionable insights using Python, SQL, and R, building predictive models and recommendation systems that inform business strategy. I have hands-on experience with MLOps and production deployment (Docker, Kubernetes, MLflow, CI/CD), developing real-time analytics, NLP, and Generative AI solutions (Transformers, RAG, LangChain). I collaborate with cross-functional teams to ship reliable models and dashboards.…I am a data scientist with 3+ years of experience delivering end-to-end ML solutions across finance, retail, and healthcare. I translate large-scale structured and unstructured data into actionable insights using Python, SQL, and R, building predictive models and recommendation systems that inform business strategy. I have hands-on experience with MLOps and production deployment (Docker, Kubernetes, MLflow, CI/CD), developing real-time analytics, NLP, and Generative AI solutions (Transformers, RAG, LangChain). I collaborate with cross-functional teams to ship reliable models and dashboards.

Saffa Samreen

Data Scientist, AI Engineer, AI Developer, +3

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I am a data scientist with 3+ years of experience delivering end-to-end ML solutions across finance, retail, and healthcare. I translate large-scale structured and unstructured data into actionable insights using Python, SQL, and R, building predictive models and recommendation systems that inform business strategy. I have hands-on experience with MLOps and production deployment (Docker, Kubernetes, MLflow, CI/CD), developing real-time analytics, NLP, and Generative AI solutions (Transformers, RAG, LangChain). I collaborate with cross-functional teams to ship reliable models and dashboards.…I am a data scientist with 3+ years of experience delivering end-to-end ML solutions across finance, retail, and healthcare. I translate large-scale structured and unstructured data into actionable insights using Python, SQL, and R, building predictive models and recommendation systems that inform business strategy. I have hands-on experience with MLOps and production deployment (Docker, Kubernetes, MLflow, CI/CD), developing real-time analytics, NLP, and Generative AI solutions (Transformers, RAG, LangChain). I collaborate with cross-functional teams to ship reliable models and dashboards.

Available to hire

I am a data scientist with 3+ years of experience delivering end-to-end ML solutions across finance, retail, and healthcare. I translate large-scale structured and unstructured data into actionable insights using Python, SQL, and R, building predictive models and recommendation systems that inform business strategy.

I have hands-on experience with MLOps and production deployment (Docker, Kubernetes, MLflow, CI/CD), developing real-time analytics, NLP, and Generative AI solutions (Transformers, RAG, LangChain). I collaborate with cross-functional teams to ship reliable models and dashboards.

Skills

Experience Level

Expert

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Expert

Language

English

Advanced

Work Experience

Data Scientist at Goldman Sachs

August 1, 2025 - Present

Led development of a production-scale Retrieval-Augmented Generation platform integrating LLaMA-3, LangChain, FAISS, and PostgreSQL to process 50M+ research documents for grounded outputs; improved analyst turnaround by 38%. Fine-tuned GPT-4 APIs with PEFT and LoRA to automate memo drafting and compliance workflows, reducing documentation overhead by 41%. Built multi-asset risk and stress-testing models with XGBoost and Monte Carlo simulations to enhance downside risk prediction. Implemented real-time market anomaly detection with PyTorch, Kafka, and Spark Structured Streaming, reducing false positives by 26% and accelerating regulatory alerts by 32%. Created document intelligence pipelines with spaCy and ONNX Runtime for 2M+ filings (90% precision). Established MLOps with MLflow, Docker, Kubernetes, and GitHub Actions for 20+ production models with 99.5% uptime. Delivered Tableau dashboards with Snowflake for risk metrics and AI insights, reducing reporting latency by 27%.

Data Scientist at LTIMindTree

April 1, 2023 - July 1, 2024

Architected end-to-end retail analytics for a large e-commerce client, delivering churn prediction and demand forecasting with XGBoost, LightGBM, CatBoost, and Scikit-learn; improved customer retention by 22% and forecast accuracy by 18%, contributing to a 12% quarterly revenue uplift. Built NLP pipelines with Transformer models (BERT, GPT-based) analyzing 2M+ reviews and transcripts, achieving 91% F1 in sentiment/intents. Developed Generative AI-powered retail assistant (LangChain + GPT) for contextual product recommendations and automated content creation, boosting engagement by 30% and conversions by 14%. Designed scalable time-series forecasting pipelines (ARIMA, Prophet) with ensemble methods to optimize inventory, reducing stock-outs by 26% and excess inventory costs by 15%. Deployed ML/Generative AI models via Docker/REST APIs with CI/CD, enabling automated monitoring, drift detection, and retraining, reducing deployment time by 35%.

Junior Data Scientist at Accenture

January 1, 2022 - March 1, 2023

Performed EDA on large-scale healthcare datasets (EHR, claims) using Python and SQL, improving data quality and consistency. Built predictive pipelines (Logistic Regression, Random Forest, XGBoost) to predict readmission with 21% accuracy gains and supported hospital risk stratification. Implemented NLP on physician notes (NLTK, TF-IDF, Word2Vec; LSTM-based models) achieving 87% F1. Developed CNN-based medical image classification models (pneumonia detection) with 92% validation accuracy. Enabled production-ready ML deployment via REST APIs (Flask/FastAPI) with monitoring; ensured HIPAA-aligned governance in AWS cloud environments.