
Sanatan Shrivastava
@sanatanshrivastava
I build production machine learning and analytics solutions that improve operational decisions for enterprise clients.
What I'm looking for
At EY, I built and deployed NLP models for payment and service workflows, achieving 90%+ classification accuracy and reducing manual triage time by 60%.
I develop machine learning pipelines and analytics solutions across HR, utilities, infrastructure, manufacturing, payments, sales, logistics, and operations. My work has included real-time KPI monitoring, predictive alerting, anomaly detection, and statistical experimentation for senior business leaders.
I automated reporting and model-scoring workflows with Azure Data Factory and Power BI, improving workflow turnaround by 38%. I also delivered anomaly detection and alerting systems that helped a manufacturing client reduce operational costs by 34%.
I'm pursuing an MSc in Artificial Intelligence at the National College of Ireland while continuing to apply Python, SQL, Spark, NLP, causal inference, and AI-assisted development to practical business problems.
Experience
Work history, roles, and key accomplishments
Developed and deployed NLP models for sentiment analysis and complaint categorisation, achieving 90%+ accuracy and a 60% reduction in manual triage time. Designed and executed product analytics experiments, built enterprise-grade ML pipelines, and automated reporting workflows, improving turnaround by 38%.
Built anomaly detection models and rule-based statistical alerting systems for business-critical KPIs, delivering a 34% reduction in operational costs. Engineered complex DAX-based paginated reports in Power BI and QlikSense, and leveraged AI tools to accelerate model development and documentation.
Education
Degrees, certifications, and relevant coursework
National College of Ireland
Master of Science, Artificial Intelligence
2025 -
Pursuing an MSc in Artificial Intelligence, covering machine learning, data analytics, and AI-driven decision making.
Maharaja Agrasen Institute of Technology
Bachelor of Technology, Mechanical & Automation Engineering
2018 - 2022
Grade: 84.4%
Activities and societies: President of Affinity – Music Society (2020–2022), leading a 100+ member society.
Earned a BTech in Mechanical & Automation Engineering with 84.4%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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