Devang Pant

Business Analyst

Bengaluru, Karnataka, India3 yrs experience

Highly StableAI Enabled

Key Highlights

Expert in ML and generative AI for enterprise workflows.
Proven ability in data migration and modernization.
Strong background in insurance underwriting systems.

Stackforce AI infers this person is a Fintech professional specializing in AI-driven solutions for enterprise data workflows.

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Skills

Core Skills

Data AnalysisMachine LearningBusiness Process

Other Skills

Data schemasValidation rulesIntegration requirementsData migrationML/AI integrationAutomationLLM-assisted workflowsCloud-based systemsAI-assisted workflowsDecision logicSQLRoot-cause analysisAutomated calculationsInsurance underwritingGeneral Ledger systems

About

I work as a Business Analyst at Sapiens, specializing in insurance underwriting and financial systems in regulated enterprise environments. Alongside my core responsibilities, I actively prototype and evaluate applied ML and generative AI approaches to understand how they can support enterprise workflows such as configuration automation, data migration, and document analysis. I am NVIDIA-certified in Deep Learning and NLP and hold Microsoft Azure Fundamentals (AZ-900), with hands-on experience building Python-based ML prototypes, working with LLM APIs, retrieval-based approaches (RAG), and cloud services to understand feasibility, limitations, and integration patterns. I am currently deepening my skills in Applied AI and AI Engineering through structured learning, independent projects, and system design work, with the goal of transitioning into an AI-focused engineering role where reliability, scalability, and measurable business impact matter.

Experience

3 yrs

Total Experience

3 yrs

Average Tenure

3 yrs

Current Experience

Sapiens

2 roles

Business Analyst

Promoted

Aug 2025 – Present · 9 mos · Bengaluru, Karnataka, India

Defined data schemas, validation rules, and integration requirements in collaboration with engineering teams to support scalable data pipelines and future ML/AI integration initiatives.
Contributed to data migration and modernization programs by validating large-scale policy and financial data transitions from legacy platforms to cloud-based systems.
Acted as a technical bridge between business stakeholders and engineering teams, translating ambiguous domain requirements into structured system specifications and executable logic.
Prototyped and evaluated automation and AI-assisted approaches (including rule-driven and LLM-assisted workflows) to assess feasibility for configuration automation, data validation, and document intelligence use cases.

Data schemasValidation rulesIntegration requirementsData migrationML/AI integrationAutomation+3

Associate Business Analyst

May 2023 – Aug 2025 · 2 yrs 3 mos · Bengaluru, Karnataka, India

ADesigned and implemented decision logic for core insurance underwriting and General Ledger systems, supporting high-volume financial transaction processing in regulated enterprise environments.
Led root-cause analysis of production data anomalies using SQL, partnering with backend engineering teams to implement scalable fixes and reduce recurring data defects across underwriting and finance workflows.
Automated complex underwriting calculations by translating business rules into configurable system logic, replacing legacy manual computations and improving consistency across multi-client deployments.
Co-Worked directly with production insurance systems and client datasets under strict SLA, compliance, and audit constraints, ensuring data accuracy and operational stability.

Decision logicSQLRoot-cause analysisAutomated calculationsInsurance underwritingGeneral Ledger systems+2