Sujoy Saha
Business Analyst @Upskill Consultancy
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WORK HISTORY
Business Analyst @Upskill Consultancy
NY, US
Gathered and documented business and functional requirements through stakeholder interviews, workshops, and discovery sessions.* Translated client needs into structured Business Requirement Documents (BRDs), Functional Specifications (FRDs), and user stories.* Defined acceptance criteria and ensured traceability between requirements, development tasks, and business objectives.* Facilitated communication between business stakeholders and technical teams to ensure alignment on deliverables.* Worked within an Agile/Scrum framework, participating in sprint planning, backlog grooming, daily stand-ups, and retrospectives.* Created, prioritized, and tracked user stories and tasks in Jira to ensure timely sprint execution.* Collaborated with Product Owners and developers to refine backlog items and estimate effort.* Monitored sprint progress using Jira dashboards and burn-down charts.* Assisted in release planning and coordinated feature deployment timelines.Conducted process mapping and gap analysis to identify inefficiencies and recommend automation or workflow improvements.* Analyzed operational data to generate insights supporting client strategy and performance optimization.* Developed KPI dashboards and business performance reports to track project outcomes.* Supported change management initiatives by documenting new workflows and training stakeholders.
EDUCATION
Rangunia Majumderkhill High School
Secondary School Certificate (SSC), Science
National University | Bangladesh
Bachelor of Science (B.Sc.) in Statistics., Statistics
Rangunia College
Higher Secondary Certificate(HSC), Science
National University | Bangladesh
Master's degree, Statistics
ABOUT SUJOY SAHA
AI Engineer with 10+ years of experience in Python, ML/LLM engineering, and data engineering. Skilled in designing scalable ML pipelines, integrating Google Cloud LLMs, Google Vector Search, and hybrid search methodologies. Expert in AWS SageMaker, Docker, Django, Flask, and distributed team collaboration. Proven ability to deploy production-grade ML solutions and optimize MLOps workflows for large-scale applications.
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