
Singer Sinha
@singersinha
I build enterprise Agentic AI and machine learning systems that automate analytics and data operations.
What I'm looking for
At Accenture, I architect and deploy enterprise Agentic AI systems using LangChain, AutoGen, and LangGraph, automating analytics workflows that previously required 3–5 FTEs. I lead ML engineers and data scientists while setting the technical roadmap for AI modernization.
I've built a multi-agent SQL planner with RAG and vector search that cuts ad-hoc query turnaround from days to minutes, metadata extraction bots that accelerate data catalog population by about 70%, and agentic ETL troubleshooters that detect, diagnose, and escalate pipeline failures.
Across Capgemini, Xoriant, Cognizant, Infosys, and Accenture, I've delivered fraud detection, NLP classification, recommendation engines, predictive models, ETL pipelines, Tableau analytics, and enterprise software solutions. I bring 11+ years across ML, analytics, BI, and engineering, combining hands-on production delivery with team leadership.
Experience
Work history, roles, and key accomplishments
Architect and deploy enterprise-grade Agentic AI systems using LangChain, AutoGen, and LangGraph, automating analytics workflows previously requiring 3–5 FTEs. Built a multi-agent SQL planner with RAG and vector search that reduces ad-hoc query turnaround from days to minutes.
Built and productionized an Email Fraud Detection classifier using NLP, TF-IDF, and logistic regression, achieving 94%+ precision. Engineered end-to-end ML pipelines and designed interactive Tableau dashboards, reducing manual reporting effort by 60%.
Led a development team delivering data engineering and analytics solutions for enterprise clients. Designed and optimized ETL pipelines and data warehousing solutions, improving data reliability and throughput.
Managed a cross-functional development team building enterprise analytics applications. Drove process improvements and agile delivery practices that increased team velocity by 20%.
Pioneered ML adoption within the BI team by building a proof-of-concept Logistic Regression model for customer churn prediction with 82% accuracy. Led a team of 6 developers delivering Tableau BI solutions across multiple enterprise client engagements.
Delivered large-scale enterprise IT solutions with a growing focus on data processing, analytics, and statistical reporting. Built foundational expertise in SQL, data pipelines, and analytical problem-solving.
Education
Degrees, certifications, and relevant coursework
Uttar Pradesh Technical University
Bachelor of Technology, Electronics & Telecommunication
Completed a Bachelor of Technology in Electronics & Telecommunication in 2014.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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