Ramla Zubair

Responsibilities:

• Led end-to-end advising for prospective students, aligning academic programs with long-term goals and personal strengths
• Owned the application process for multiple clients, ensuring high-quality, timely submissions across various global universities
• Designed and delivered interview prep sessions and workshops to improve candidate confidence and success rates
• Built and maintained relationships with university admissions teams to stay ahead of program changes and partnership opportunities
• Developed structured guidance materials, including financial aid explainers, process templates, and client-facing content

Outcomes:

• Supported dozens of successful university placements across competitive global institutions
• Strengthened company reputation for personalised, high-touch service
• Took initiative to improve operational tools and student experience through clearer, more scalable documentation

Responsibilities:

• Advised high-end clientele on product selection, styling, and brand offerings
• Maintained a polished in-store experience aligned with premium brand standards
• Managed transactions, inventory, and merchandising with accuracy and care

Handled customer queries and resolved issues with professionalism and empathy

Outcomes:

• Built strong communication and service skills in a fast-paced, customer-facing environment
• Gained insight into client behavior and frontline retail operations
• Balanced part-time work alongside full-time postgraduate study

Responsibilities:

• Gathered and documented business and product requirements under guidance of senior analysts and product managers
• Researched ethical risks in AI and translated insights into clear, actionable requirements for product teams
• Worked closely with Security, HR, and Risk stakeholders to define fairness, explainability, and transparency in AI features
• Contributed in documentation across real-world use cases including HR bots and account-blocking assistants

Outcomes:

• Helped integrate responsible AI principles into product design across multiple use cases
• Strengthened skills in research, stakeholder communication, and structured analysis
• Gained hands-on experience at the intersection of ethics, product strategy, and business needs

Responsibilities:

• Conducted research on economic topics including industrial sector performance, privatization, governance, and poverty
• Authored research briefs and blogs; synthesized expert webinars into clear, structured summaries for academic and policy audiences
• Applied statistical techniques (2SLS, Fixed/Random Effects, Probit/Logit Models) to analyze investment trends and market behavior
• Used R and SPSS for econometric modeling, data visualization, and large-scale data analysis
• Collaborated with senior researchers to shape narratives and ensure findings were accessible to non technical stakeholders

Outcomes:

• Strengthened both analytical and communication skills through hands-on research and published outputs
• Gained practical experience in using data and statistical tools to support policy decision-making
• Developed the ability to translate complex economic insights into actionable, audience-friendly recommendations