Rizwan M.

✓ Design, develop, and maintain scalable ETL/ELT pipelines to integrate and process diverse datasets, including electricity generation, transmission, distribution, energy mix, fuel cost adjustments, power capacities, renewable energy metrics, and carbon emissions, sourced from NEPRA, NTDC, KE, IGCEP, TCEP, DIP, PMD-CDPC, OGRA, ISMO, and OpenStreetMap. ✓ Build and optimise structured and relational data repositories for Pakistan’s power sector using Snowflake schema, MySQL Server, Airflow DAG, dbt, and Python, enabling efficient data storage, retrieval, and analysis of large datasets and reducing data retrieval time by 80%. ✓ Collaborate with power market analysts, energy finance associates, renewable energy initiative members, and EV specialists to understand data requirements, design data structures and architectures, and deliver analytics solutions supporting Pakistan’s power sector and renewable energy projects. ✓ Implement and enforce data quality and governance checks, error handling, and data security practices to ensure reliable workflows and protection of sensitive information across all datasets, utilising MySQL, ATLAN and Informatica. ✓ Develop and document database solutions, configurations, ETL processes, and data access manuals to break down team silos, enhance cross-team knowledge sharing, and ensure reproducibility, sharing resources via GitHub and SharePoint.

• Develop and maintain an extensive range of financial performance reports, covering KPIs/Financial metrics, rent and service charges data analytics, and budget reporting, leading to enhanced decision-making protocols. • Develop advanced Power BI dashboards using MS Excel and SQL database to interpret and analyse finance data, generating actionable insights that significantly contributed to business financial strategic planning. • Design and deploy automated reporting systems and Business Intelligence dashboards utilising advanced data manipulation and visualisation techniques, resulting in a marked improvement in reporting workflow efficiency to identify gaps, trends, and patterns and recommend change needs. • Collaborate with the Rent and Service Charges, Neighbourhood Support, Allocation teams, and other stakeholders in providing crucial data insights and indispensable support for finance-related decision-making processes.

• Engaged with prospective students, explored the opportunities / benefits as being student at University of Bradford as well as local life • Proudly part of the best customer assistance team, helped resolving students’ issues and providing various resources to them • Took part in increasing the diversity of the university’s student body through specific programsDelivered short talks and presentations on my own experience at university regarding my studies • Helped in improving the university’s services by participating in the focus feedback activities

Sponsored or suggested a project to the undergraduate students named as 'Online Grocery Store', in which we provided several thoughts and ideas regarding Web development (3-Tier Architecture), Big Data Challenges (Data Vault and Data Velocity), and Machine learning Modelling (Aprori Algorithm for Market Basket Analysis)