Victor Oluniyi

 Provide daily, weekly and monthly product/campaign  Provide customer behavioral analysis  Established strategy dashboards and charts informing and compiling multiple strategies and market and user insights, improving data visibility by 45%  Designed, executed, and optimized digital marketing campaign on Google Data Studio.

 Created and presented models for potential holdings to senior managers, achieving 20% higher returns compared to previous years.  Collected data from sales, marketing, and finance departments to use in establishing organizational structure. Identify and obtain missing trial data  Optimized data collection procedures and generated reports on a weekly, monthly, and quarterly basis  Gathered and documented business requirements for analytical reports.  Organized, extrapolated, and disseminated data across departments to be used for drawing conclusions about the success of current methods.  Conducted 40+ complex business problem analyses to reduce operational and financial risk as part of the client’s compliance strategy.  Developed 95% custom Microsoft Power BI dashboards, reports, visualizations, and interfaces to deliver meaningful and actionable insights.  Designed power bi data visualization utilizing cross tabs, maps, scatter plots, pie, bar and density charts.  Created the KPI to show the difference between actual and forecast data.  Delivered 100% assigned tasks within the agreed budget.  Led a team of 5 interns in analyzing of Y combinator dataset.  Monitored and evaluated assigned programs and projects organized by GIZ using standard tools and procedures like kobotoolbox.  Established efficient M&E workflow processes, monitored daily productivity and implemented modifications to improve overall effectiveness of personnel and activities.  Designed a learning pathway for interns using Google Classroom and Miro

 Excelled in data visualization and machine learning coursework.  Consulted and worked with development teams to determine, execute and deliver relevant solutions.  Analyzed old information architectures and contributed to the design and development of the new one.  Provided information, feedback and guidance to clients to support technology-related decision making.  Derived actionable insights from massive data sets with minimal support.  Produced interactive data visualization using matplotlib.