hasha dar

London, United Kingdom

• Large UK Bank Customer Remediation Programme
  • Developed high-quality SQL scripts for a customer remediation programme, contributing to a large codebase with customer, beneficiary, product, transaction, case and address data
  • Built comprehensive Python data pipelines using Airflow DAGs and Streamsets, and developed new ETL processes whilst conforming to data integrity standards for critical operations
  • Collaborated with Business Analysts and testers through GitLab, JIRA, and Confluence workflows, delivering technical solutions within release deadlines
• AI-Powered NHS Data Dashboard
  • Designed and built an end-to-end dashboard using Streamlit for open-source NHS data, implementing a comprehensive ETL process, GCP bucket integration, and web-scraping
  • Developed an AI chatbot using Google Vertex API with Gemini 2.5 Flash, enabling senior NHS stakeholders to communicate with the data using natural language, to make better business decisions
  • Worked with a team of four to develop the dashboard, presented to senior colleagues and moved forward with a plan to show our products to potential clients
• Strategic Consulting and Business Development
  • Contributed technical expertise to generative AI bids in real estate sector, developing proof-of-concept solutions that demonstrated commercial viability
  • Supported enterprise AI implementations across multiple industry sectors, providing strategic recommendations for digital transformation initiatives
  • Conducted market research and competitive analysis for AI implementation strategies, informing client decision-making processes

London, United Kingdom

London, United Kingdom

• Collaborated directly with Head of Technical Direction to optimise consultant team performance, collecting and processing performance metrics, financial data, & client satisfaction indicators to drive strategic decision-making
• Generated comprehensive analytical insights through Excel-based dashboards and presentations for senior stakeholders, transforming raw performance data into actionable business intelligence that informed resource allocation decisions
• Managed complex client relationships and coordinated technical project delivery across multiple concurrent engagements, ensuring consultant teams fulfilled client requirements whilst maintaining quality standards

London, United Kingdom

London, United Kingdom

• Architected full-stack financial dashboard using Python, Streamlit, and Google Sheets API integration, implementing real-time data synchronization and automated asset classification across multiple financial platforms
• Implemented advanced analytics engine featuring pension cashflow tracking, Monte Carlo forecasting simulations, and return calculations that account for cash flows vs gains, cumulating in a comprehensive portfolio returns analysis
• Designed modular codebase with comprehensive ETL pipeline, interactive data visualisations using Plotly, and responsive design components, demonstrating software engineering best practices and scalable architecture