Summary
Overview
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BusinessAnalyst

Kamran Khan

Dynamic Business Analyst

Summary

  • Dedicated to solving complex technology challenges by transforming and modernizing technology ecosystems. Building a strong foundation in scalable architecture, leveraging AI for process optimization, and applying data-driven decision-making to support business growth and operational excellence.

    Focusing on cloud infrastructure, AI/ML integration, and API lifecycle management while using data analytics to drive automation, compliance, and innovation.

    Committed to addressing both application and enterprise-level concerns to enhance efficiency, scalability, and long-term success.

Overview

3
3
years of professional experience
5
5
years of post-secondary education

Work History

Analyst - Solutions Architect

BNY Mellon
08.2023 - Current

Providing architectural oversight of 200+ applications across multiple lines of business, ensuring performance, scalability, and security. Aligning technology strategies with business goals to drive efficiency, cost reduction, and risk mitigation while enabling innovation through AI, cloud, and API modernization.

Primary Focus Areas

  • Middle Office Operations
  • Accounting and Fund Administration
  • Alternative Investment Technology
  • EMEA Trust & Depository
  • Data & Analytics, Global Risk Solutions, AIML/GenAI

API Governance Optimization

  • Manage the end-to-end API lifecycle to ensure secure, compliant, and high-performance integrations.
  • Oversee internal and external API onboarding, improving governance processes and documentation.
  • Validate API Swagger specifications against company security and performance standards before deployment.
  • Analyze API performance metrics, error rates, and compliance trends to enhance resilience and reliability.
  • Advocate for best practices in REST API design, security policies, and cloud-native architectures.

Cloud & Infrastructure Modernization

  • Design cloud-native and hybrid infrastructure strategies to enhance performance and scalability.
  • Lead storage modernization efforts, including NAS-to-S3 cloud migration.
  • Support high-performance computing and virtualization for enterprise-scale applications.
  • Optimize middleware solutions, MQ messaging, and enterprise data security across cloud platforms.

AI & Data Analytics

  • Develop AI-driven solutions for document processing, predictive modeling, and business automation.
  • Integrate LLM-based AI models for data retrieval, risk analytics, and financial decision-making.
  • Implement AI governance strategies to ensure responsible AI adoption and compliance.
  • Enhance data analytics, visualization, and machine learning pipelines to improve enterprise insights.

Technical & Business Communication

  • Translate complex technical solutions into actionable business insights for stakeholders.
  • Host knowledge-sharing sessions with Architecture and Engineering teams
  • Collaborate with engineering, governance, and business teams to align technology with strategy.

Business Analyst Intern

BNY Mellon
06.2022 - 08.2022

Engaged in high-level projects to meet key deliverables and business objectives with next-level engineering, technical skills, strategic thinking, and collaboration.

Created a design deliverable for a Product Operating Model of Master Data Management

Designed reporting artifacts for projects with complex initiatives, to outline: how they were able to improve their business function, simplify architecture, reduce current gaps, improve scalability.

Education

Master of Science - Business Analytics

Arizona State University
Tempe, AZ
08.2023 - 12.2024

Bachelor of Science - Computer Information Systems

Arizona State University
Tempe, AZ
08.2019 - 05.2023

Skills

Solution Architecture & Enterprise Integration

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Timeline

Master of Science - Business Analytics

Arizona State University
08.2023 - 12.2024

Analyst - Solutions Architect

BNY Mellon
08.2023 - Current

Business Analyst Intern

BNY Mellon
06.2022 - 08.2022

Bachelor of Science - Computer Information Systems

Arizona State University
08.2019 - 05.2023

Quote

Hardships often prepare ordinary people for an extraordinary destiny
C.S. Lewis

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Work Preference

Work Type

Full TimePart TimeContract Work

Work Location

On-SiteRemoteHybrid

Important To Me

Career advancementPersonal development programsStock Options / Equity / Profit Sharing401k matchCompany CultureFlexible work hours

Interests

AI/ML

Economics

Languages

English
Native or Bilingual
Spanish
Limited Working
Kamran KhanDynamic Business Analyst