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I’m a data scientist with over 7 years of experience delivering AI and machine learning solutions across retail, finance, and healthcare. I specialize in building retrieval-augmented generation platforms, multilingual analytics, and scalable ML pipelines on cloud platforms like AWS, GCP, and Azure. I enjoy turning raw data into actionable insights, designing personalized recommendations, and enabling data-driven decisions at scale. I’m passionate about bridging business goals with cutting-edge tech, mentoring teammates, and collaborating with cross-functional teams to deploy robust AI systems that drive engagement, reduce risk, and improve decision-making across industries.…I’m a data scientist with over 7 years of experience delivering AI and machine learning solutions across retail, finance, and healthcare. I specialize in building retrieval-augmented generation platforms, multilingual analytics, and scalable ML pipelines on cloud platforms like AWS, GCP, and Azure. I enjoy turning raw data into actionable insights, designing personalized recommendations, and enabling data-driven decisions at scale. I’m passionate about bridging business goals with cutting-edge tech, mentoring teammates, and collaborating with cross-functional teams to deploy robust AI systems that drive engagement, reduce risk, and improve decision-making across industries.

Gayathri Bandala

Data Scientist, Data Analyst, AI Engineer, +2

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I’m a data scientist with over 7 years of experience delivering AI and machine learning solutions across retail, finance, and healthcare. I specialize in building retrieval-augmented generation platforms, multilingual analytics, and scalable ML pipelines on cloud platforms like AWS, GCP, and Azure. I enjoy turning raw data into actionable insights, designing personalized recommendations, and enabling data-driven decisions at scale. I’m passionate about bridging business goals with cutting-edge tech, mentoring teammates, and collaborating with cross-functional teams to deploy robust AI systems that drive engagement, reduce risk, and improve decision-making across industries.…I’m a data scientist with over 7 years of experience delivering AI and machine learning solutions across retail, finance, and healthcare. I specialize in building retrieval-augmented generation platforms, multilingual analytics, and scalable ML pipelines on cloud platforms like AWS, GCP, and Azure. I enjoy turning raw data into actionable insights, designing personalized recommendations, and enabling data-driven decisions at scale. I’m passionate about bridging business goals with cutting-edge tech, mentoring teammates, and collaborating with cross-functional teams to deploy robust AI systems that drive engagement, reduce risk, and improve decision-making across industries.

Available to hire

I’m a data scientist with over 7 years of experience delivering AI and machine learning solutions across retail, finance, and healthcare. I specialize in building retrieval-augmented generation platforms, multilingual analytics, and scalable ML pipelines on cloud platforms like AWS, GCP, and Azure. I enjoy turning raw data into actionable insights, designing personalized recommendations, and enabling data-driven decisions at scale.

I’m passionate about bridging business goals with cutting-edge tech, mentoring teammates, and collaborating with cross-functional teams to deploy robust AI systems that drive engagement, reduce risk, and improve decision-making across industries.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Data Scientist - AI/ML at Aldi

September 1, 2023 - Present

Led end-to-end development of a Retrieval-Augmented Generation (RAG) platform to analyze retail sales data, customer interactions, and purchasing behavior, leveraging LLMs for actionable insights and personalized product recommendations. Architected scalable ML pipelines on AWS SageMaker and Google Cloud Vertex AI for continuous retraining on POS, CRM, and engagement data. Deployed Hugging Face transformers for multi-task NLP, built a React-based analytics dashboard integrating CRM logs, invoices, recordings, and clickstream data, and implemented multilingual translation models for cross-geography insights. Benchmarked vector databases (Pinecone, FAISS, ChromaDB) for fast embedding retrieval. Designed monitoring dashboards (Grafana/Prometheus/Loki) for GPU utilization and latency; developed sociable routing for customer queries to NLP models.

Data Scientist at Fifth Third Bank

January 1, 2020 - August 1, 2023

Developed ML models (XGBoost, LightGBM) for corporate loan exposure and counterparty risk with automated retraining via SageMaker Pipelines. Built real-time fraud monitoring pipelines with scikit-learn, FastAPI, and AWS Lambda; implemented AML analytics combining graph anomaly detection with NLP entity recognition. Automated ETL with AWS Glue and Airflow; created real-time liquidity and risk dashboards; performed feature engineering with Spark and SQL for integrated risk analytics; managed model lifecycle with Kubeflow and CI/CD in a multi-cloud setup.

Data Scientist at Abbott

April 1, 2018 - January 1, 2020

Developed ML pipelines for drug–target interaction prediction and adverse event detection using Random Forest, XGBoost, and Graph Neural Networks. Built NLP-based patient recruitment optimization from EHRs and clinical notes; implemented NER to extract entities from protocols and literature. Conducted survival analysis (Cox, Kaplan–Meier, DeepSurv) for treatment evaluation; automated ETL/real-time processing with PySpark, Kafka, and Airflow; deployed dashboards for trial monitoring and risk assessment; ensured reproducibility with MLflow and robust model governance with Kubeflow.