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I am a data scientist with 4+ years of experience delivering production-grade ML and AI solutions across pharma manufacturing, regulatory intelligence, and enterprise software. I thrive on turning complex data into scalable insights and collaborating with cross-functional teams to drive measurable impact. I bring a strong foundation in time-series modeling, NLP, and MLOps, and I enjoy building auditable AI systems that regulatory and quality teams can trust. My work spans predictive analytics, document intelligence, and retrieval-augmented workflows to accelerate decision-making and compliance processes.…I am a data scientist with 4+ years of experience delivering production-grade ML and AI solutions across pharma manufacturing, regulatory intelligence, and enterprise software. I thrive on turning complex data into scalable insights and collaborating with cross-functional teams to drive measurable impact. I bring a strong foundation in time-series modeling, NLP, and MLOps, and I enjoy building auditable AI systems that regulatory and quality teams can trust. My work spans predictive analytics, document intelligence, and retrieval-augmented workflows to accelerate decision-making and compliance processes.

Rupa Devi Seelam

Data Scientist, Data Analyst, Back-End Developer, +5

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I am a data scientist with 4+ years of experience delivering production-grade ML and AI solutions across pharma manufacturing, regulatory intelligence, and enterprise software. I thrive on turning complex data into scalable insights and collaborating with cross-functional teams to drive measurable impact. I bring a strong foundation in time-series modeling, NLP, and MLOps, and I enjoy building auditable AI systems that regulatory and quality teams can trust. My work spans predictive analytics, document intelligence, and retrieval-augmented workflows to accelerate decision-making and compliance processes.…I am a data scientist with 4+ years of experience delivering production-grade ML and AI solutions across pharma manufacturing, regulatory intelligence, and enterprise software. I thrive on turning complex data into scalable insights and collaborating with cross-functional teams to drive measurable impact. I bring a strong foundation in time-series modeling, NLP, and MLOps, and I enjoy building auditable AI systems that regulatory and quality teams can trust. My work spans predictive analytics, document intelligence, and retrieval-augmented workflows to accelerate decision-making and compliance processes.

Available to hire

I am a data scientist with 4+ years of experience delivering production-grade ML and AI solutions across pharma manufacturing, regulatory intelligence, and enterprise software. I thrive on turning complex data into scalable insights and collaborating with cross-functional teams to drive measurable impact.

I bring a strong foundation in time-series modeling, NLP, and MLOps, and I enjoy building auditable AI systems that regulatory and quality teams can trust. My work spans predictive analytics, document intelligence, and retrieval-augmented workflows to accelerate decision-making and compliance processes.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Work Experience

Data Scientist at Encode Testers

July 3, 2023 - July 3, 2023

Delivered real-time fraud scoring pipeline on AWS (S3, EC2, Lambda) containerized with Docker; achieved AUC 0.96, reduced fraud losses by 35% and false positives by 50%; built 100+ features used in XGBoost/Logistic ensembles; implemented MLflow-based experiment tracking, model registry, automated retraining, drift monitoring, CI/CD; achieved p95 latency < 100 ms, 99.9% uptime; performed ETL to Redshift/SQL, improved data quality by 30%; developed customer segmentation and sentiment analytics with TensorFlow/PyTorch; built dashboards with Tableau/Power BI with row-level security.

Data Scientist at Catalent

February 1, 2025 - Present

Led end-to-end development of an AI-driven predictive quality platform using Python, Spark, Databricks, XGBoost, LSTM, and Kafka, reducing quality deviations by 62%. Engineered scalable time-series feature pipelines on Delta Lake with Airflow and AWS S3, enabling 36-hour advance forecasting of yield loss across multi-modal manufacturing sensor data. Deployed real-time ML inference services using FastAPI, Docker, Kubernetes, and SageMaker with MLflow monitoring, and implemented SHAP explainability and drift detection to support regulatory audits.

Data Scientist at Encode Testers

April 1, 2020 - July 1, 2023

Led ML-based defect prediction platform development; built end-to-end data pipelines integrating Jira, TestRail, and Git logs; designed classification models and feature engineering workflows; deployed ML models via Flask and Docker with Power BI dashboards to enhance QA decision-making. Built NLP sentiment analysis on 50,000+ feedback records (85% sentiment accuracy) and contributed to reducing regression testing effort and defect investigation timelines.