Senior Data Scientist · Austin, TX
I turn complex, high stakes data into production grade ML systems and decision intelligence. My work spans across forecasting, LLM agents, and advanced analytics across industries where accuracy drives operations.
2026
Client: Transocean
Built a 13 week AP and AR/Collections cash flow forecast model for Transocean, reducing quarterly AP forecast error by $27M and AR forecast error by $121M against baseline, a 31% improvement in collections forecast accuracy.
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2026
Client: Transocean
Sole data scientist responsible for building an executive KPI dashboard used daily in operational standups, consolidating lagging and leading Financial, Safety, and Operational performance metrics across the global drilling fleet.
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2025
IQumulus R&D
Designed a multi agent LLM platform for subsea oil & gas using Claude API, LangChain, and MCP, combining RAG, NL to SQL, and a P&ID Intelligence Pipeline to extract and query structured and unstructured engineering data from complex diagrams.
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I am Sagarika Ramesh, a Data Scientist with a robust history of delivering impactful analytical and machine learning solutions. I bring strong adaptability to complex, ad hoc challenges and thrive in roles that demand both technical depth and strategic thinking.
I have led high impact projects end to end, adapted to rapidly shifting requirements, and ensured that user experience and data science outcomes are integrated rather than siloed. A strong team player at heart who does not shy away from taking ownership, stepping into leadership roles, and driving outcomes with accountability.
Trained at Brown University, M.S. Data Science. Based in Austin, TX and open to relocation for the right opportunity.
Outside of work, I stay curious, currently working through my tech reading list and writing technical articles on data science and AI. I also create content, paint, and dance, which keep me creative, and grounded.
Supervised Learning, Time Series Forecasting, Deep Learning, NLP, Anomaly Detection, Ensemble Methods, RAG, LLM Fine tuning, Prompt Engineering, LangChain, MCP, Agentic Workflows, SHAP Explainability
Python, SQL, R, JavaScript, Java, MATLAB, PostgreSQL, Neo4j, pgvector, Cognite, Tesseract OCR, PySpark, Pandas, NumPy
AWS Bedrock, GCP BigQuery, Tableau, Google Analytics, Looker Studio