Abhishek Dongrey

Results-driven Data Analytics Specialist with 8+ years of experience in risk analytics, fraud detection, and AI-powered data solutions. Demonstrated expertise in SQL, data modeling, and business intelligence, with a strong track record of building interactive dashboards, translating complex datasets into actionable insights, and collaborating with cross-functional stakeholders. Delivered measurable impact including a 35% reduction in LLM hallucinations and 40% reduction in API inference costs.

Adept at ensuring data accuracy, integrity, and consistency across all analytics projects in remote and enterprise environments.

Assistant Manager – Risk Analytics at Teleperformance (2024-05 – 2025-12)

• Built Power BI dashboards to monitor compliance KPIs, risk indicators, and operational metrics, delivering clear, data-driven insights to C-suite and leadership for strategic decision-making.
• Collaborated with cross-functional stakeholders to gather analytics requirements and translate business needs into effective reporting solutions, ensuring alignment with organizational objectives.
• Analyzed complex datasets to identify trends, patterns, and compliance gaps; conducted structured Security Risk Assessments (SRA) and root cause analyses enabling targeted process improvements.
• Designed and deployed a production-grade RAG pipeline using LangChain and Gemini 2.5 Flash, achieving a 35% reduction in model hallucinations and improving factual grounding across enterprise knowledge bases.
• Architected a custom data ingestion engine parsing unstructured PDFs into structured JSON metadata for ChromaDB indexing, ensuring data accuracy and consistency across all analytics projects.
• Implemented LLM-as-a-Judge evaluation frameworks using RAGAS metrics to systematically score model faithfulness, answer relevancy, and context precision at scale.
• Optimized inference costs via semantic caching, reducing redundant API calls to OpenAI/Vertex AI by 40%, directly improving system efficiency and reducing operational spend.

Fraud Prevention Analytics Analyst at Teleperformance (2018-05 – 2024-04)

• Analyzed large-scale transaction datasets using advanced SQL and Python to surface fraud patterns, anomalies, and emerging risk signals across millions of records.
• Developed and maintained interactive analytical dashboards and performance reports tracking fraud rates, alert accuracy, and investigation efficiency to support real-time operational decisions.
• Applied statistical modeling techniques to identify behavioral patterns and anomalies, driving measurable improvements in fraud detection precision and recall.
• Led cross-functional collaboration with risk, operations, product, and IT teams to design and implement fraud analytics improvements and automated detection controls.
• Ensured data integrity and consistency across all reporting layers; presented findings and recommendations clearly to both technical teams and non-technical stakeholders.

Customer Care Executive at Teleperformance (2017-07 – 2018-04)

• Analyzed recurring complaint and feedback trends, generating operational insights that improved customer satisfaction metrics and service efficiency benchmarks.

PG Certification in Data Analytics with GenAI – IIT Guwahati (2025-02 – 2025-08)

Bachelor of Arts in Arts – Jaipur National University (2019 – 2022)