Marvis Osazuwa

MSc Data Science dissertation with Force24, a marketing automation SaaS. Built an Account Intelligence platform end to end. - Designed the data layer in Dagster and dbt, landing into a layered PostgreSQL warehouse (raw, staging, intermediate, marts). - Engineered Python extractors for multiple source systems, scheduled via Dagster. - Connected data, FastAPI backend and Angular frontend into one system. - Containerised with Docker. Stack: Python, SQL, dbt, Dagster, FastAPI, PostgreSQL, Docker, Angular.

Rebuilt the CRM data layer for a multi-market healthcare marketing operation, turning it into the single source of truth for sales and operations. - Automated CRM workflows end to end. Lead response time dropped 30 percent. Conversion climbed 15. - Cut duplicate records and data errors by 40 percent via a full data-quality overhaul. - Integrated CRM with marketing stack. Email engagement lifted 25 percent. - Shipped real-time dashboards replacing weekly manual reports. Stack: Zoho , SQL, Python, Power BI.

Selected into Microsoft's global student community programme to build technical awareness of Azure, Power Platform and AI on campus. - Recruited 10 new ambassadors in a single semester. - Co-organised a hackathon with 50 plus participants and a 95 percent satisfaction score. - Ran Azure and Power BI workshops that lifted adoption 30 percent among attendees. - Self-studied Azure and Power Platform learn paths. Stack: Azure, Power BI, Power Platform.

Embedded in the IT and risk-analytics function of Nigeria's federal mortgage lender, working on loan data and IT governance reporting. - Ran a data-integrity overhaul. Core dataset accuracy lifted 40 percent in six months, materially reducing faulty-approval risk. - Built Python and SQL models on Tableau to track repayments. Repayment-monitoring efficiency lifted 15 percent, manual entry dropped 25. - Streamlined IT asset governance. Approval turnaround dropped 30 percent. Stack: Python, SQL, Excel.

Early-career role inside one of Africa's largest retail banks, combining customer data analysis with front-line service and digital-channel promotion. - Analysed customer interaction data to identify drop-off and friction points, feeding insights to cross-functional teams. - Led adoption campaigns for USSD and Internet banking, reducing in-branch manual transactions. - Owned complaint resolution logging and root-cause categorisation. - Mentored a rotating team of interns.

MSc Data Science. Coursework across machine learning, big data engineering, applied statistics and data-driven decision making. Dissertation built an end-to-end Account Intelligence platform with Force24, covering Dagster, dbt, FastAPI and Angular.

MSc Big Data Analytics and Management. Specialisation in big data engineering, market analytics, cloud computing and Industry 4.0. Master's thesis built a PySpark pipeline ranking and recommending players across five European football leagues using UEFA event data. GPA 3.67/4.00

Core training in computer architecture, operating systems, systems programming, databases and software engineering.