Tayyab G

Education

Master of Science in Information Technology with Business Intelligence @ Robert Gordon University (Present)

• Relevant Coursework: Data Management, Object Oriented Programming, IT Infrastructure and Development

MSc in Business with Financial Management @ Warwick Business School (2020)

• Achieved 2nd place in a Virtual Business Simulation Challenge

BSc in Accounting & Management @ Queen Mary University of London (2018)

Work Experience

Data Annotator @ Outlier AI (Oct 2024 – Present)

• Achieved 98% validation accuracy by reviewing and correcting AI-generated mathematical content for factual and contextual integrity.
• Increased model clarity by 27% by building a structured feedback framework for evaluating AI-generated outputs.
• Boosted AI response consistency by 40% through targeted optimisation of training datasets across multiple annotation platforms.
• Applied statistical methods to evaluate generative AI performance, enhancing predictive accuracy and reducing annotation error.

Account Executive @ Gerry’s International Pvt. Ltd. (Feb 2023 – Aug 2024)

• Increased sales revenue by 20% through analysis of performance data, revenue streams, and KPIs across regional teams.
• Automated reporting processes using Power BI and SQL, delivering real-time dashboards that reduced reporting time by 12 hours per week and enabled sales teams to respond to leads 40% faster.
• Implemented predictive analytics to forecast market and sales trends, increasing forecast accuracy by 30% and enabling more effective lead targeting.
• Contributed to internal comms around audit timelines and reporting flows.

Finance Analyst @ Rang Commodities PVT LTD (Oct 2021 – Feb 2023)

• Improved portfolio returns for 20+ high-net-worth clients by analysing stock market trends using Python and SQL.
• Cut reporting time by 35% through automation of financial workflows, enhancing data accuracy for investor updates.
• Delivered 15% performance improvement by conducting EDA on financial KPIs and market indicators to guide investment decisions.
• Drove a 25% uplift in operational efficiency by leading cross-functional process optimisation across reporting functions.

Finance and Credit Intern @ Habib Metropolitan Bank (Jul 2019 – Aug 2019)

• Improved portfolio returns for 20+ high-net-worth clients by analysing stock market trends using Python and SQL.
• Cut reporting time by 35% through automation of financial workflows, enhancing data accuracy for investor updates.
• Delivered 15% performance improvement by conducting EDA on financial KPIs and market indicators to guide investment decisions.

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