Optimizely
Learning Designer, Customer Success
Own end-to-end learning for Optimizely CMS and Opal Developer, translating technical product change into structured customer, partner, and internal learning experiences.
Seven-plus years across product learning, SaaS strategy, delivery, business intelligence, customer operations, and engineering, connected by practical problem solving.
Experience
Optimizely
Own end-to-end learning for Optimizely CMS and Opal Developer, translating technical product change into structured customer, partner, and internal learning experiences.
Optimizely
Developed portfolio insight across product, engineering, finance, and customer data; established sunsetting and R&D-capitalization frameworks for strategic decisions.
WPP Production Bangladesh
Coordinated requirements, delivery, quality, and stakeholder alignment for PIMCO business-intelligence work across Japan and the United Kingdom.
ShopUp
Built performance insight across 60+ districts and 25+ categories, helping teams improve sourcing efficiency by approximately 15–25% per quarter.
British American Tobacco Bangladesh
Led analytics and process-improvement work for engineering spares and consumables, contributing to 35% lower inventory and 57% fewer inventory-duration days.
Selected parallel work
Design and deliver workplace-oriented learning in Excel, Power BI, SQL, Python, AI, and machine-learning fundamentals for 10 Minute School × SheSTEM.
Scoped AI-enabled startup MVPs, defined product backlogs and acceptance criteria, and aligned clients, designers, engineers, and AI specialists at Ontik Technology.
Selected projects
Product strategy
Connected customer revenue, infrastructure cost, contracts, and roadmap context so end-of-life decisions could be made with a shared evidence base.
A repeatable decision framework across Product, Engineering, Finance, Customer Success, and executive stakeholders.
Finance × R&D
Linked Jira delivery activity with finance and roadmap information to improve the consistency and traceability of R&D reporting.
Stronger audit readiness and clearer connection between development effort, budget, and roadmap priorities.
AI product delivery
Turned early ideas for DUUXS and Dlicio into phased scopes, epics, user stories, acceptance criteria, dependencies, and delivery plans.
Sharper prioritization around user value, technical complexity, cost, and the realities of an MVP.
Learning design
Designed live, beginner-friendly analytics learning with lessons, datasets, exercises, assignments, and assessments for scholarship cohorts.
Workplace-oriented pathways through Excel, statistics, Power BI, SQL, Python, visualization, AI, and ML fundamentals.
Operational analytics
Used demand, sourcing, and consumption data to expose process gaps and direct practical improvements across commerce and manufacturing environments.
15–25% quarterly sourcing-efficiency gains at ShopUp and contributions to 35% lower inventory at BAT Bangladesh.