Daniel Sarumi Email & Phone Number

United Kingdom

• Analyzed and developed analytical models to solve critical out-of-stock issues in the company and this reduced stock-out by 60%.• Built analytics sales solutions with Python, SQL, and Power BI which increased revenue by 40% against the previous year.• Built and put into production Performance Dashboard to assist the management gets insights into the performance of each branch.• Analyze market trends to help the company figure out emerging, market reject, moving market, and market surge SKUs.• Monthly recommendation on SKUs tying down capital and discount percentage to apply for fast sales.• Increased operation performance of Procurement department 40% by automating list of POs to place based on data record.• Implemented customer acquisition and retention analysis which led to 15% & 19% increase in each KPI respectively.• Built and Incorporate Budget Tracking Dashboard for each branch to enable productive spending and ease accounting department jobs.

• Through our training programs, we have upskilled professionals from a wide range of industries, including finance, healthcare, technology, and retail. Our tailored curriculum and hands-on workshops have enabled participants to develop a strong foundation in data analytics and apply their newfound skills to real-world business challenges. We have trained over 2,500 individuals from diverse countries and continents. (Microsoft Excel, Microsoft Power BI, SQL, and Python for Big Data).• Our consulting services have successfully fostered data-driven cultures within organizations, transforming them into data-savvy entities that make informed decisions.• By leveraging advanced analytics techniques, we have helped businesses optimize their operations, identify cost-saving opportunities, enhance customer experiences, and achieve significant revenue growth.

Nigeria

• Conducted project analysis for over 30 students (both undergraduate and post-graduate student) on diverse topic and meeting up with scheduled period.• Engaged in Data Analytics competition on LinkedIn and extracting all insights needed.• Ability to engage big data for cleaning, statistics, analysis, insights, dashboards and storytelling with diverse analytical tools – Microsoft Excel, Eviews, SPSS, Power BI, Tableau, R, and SQL.• Started a weekly Update on the situation of Covid-19 in Nigeria on LinkedIn using analytical tools to collate and analyze data and using predictive analysis to forecast.

• Built data-driven dashboards as-a product for maritime companies which assisted in improving their decision process.• Collaborated with my Start-up team at Dataline Analytics and Consulting to train software developers in basic analytics needed for reporting. • Worked with Developers to test and implement solutions that focused on Performance Management and tracking staff's efficiency.• Redesigned and improved the analytical dashboards embedded in the software solution provided to clients in less than a month.• Implemented the start-up of a new product line – providing a bespoke analytical solution to clients which boosted the company’s revenue by 25%.• Designed and developed BI solutions that met the needs of business users in the maritime industry.

Nigeria

• Worked with a team of 7 in collating, cleaning, and uploading more than a million indicators (data mining).• Collected and analyzed large amounts of data from various sources using diverse analytical tools and techniques.• Conducted research and analysis on various trending topics to identify insights and patterns that were used to improve public decision-making.• Worked closely with cross-functional teams to ensure data accuracy and completeness.

Australia

• Internship focused on solving different major analysis task and working with World Best Analytics team• Conducted Exploratory and Data Assessment on SPROCKET CENTRAL PTY LTD data using Microsoft Excel, Power BI Query.• Created Model for SPROCKET PTY LTD customer data and Interpreted the result of the analysis.• Visualization of data for company understanding using Tableau and Power BI.• Recommended target customer based on analysis conducted on existing customers' data and which resulted into profit.

Bachelor’S Degree, Economics, 4.34

Activities and Societies: Chairman academic committee of NESA, NESA Football Team, AESC.

Diploma Of Education, Data Engineering