
Z**********u
About Candidate
My name Zenith, I’m a Chemical Engineer turned Data Analyst with 5 years of experience working across sales, manufacturing and supply chain industries. I love to reveal the hidden stories behind data, not just to drive business and innovation but also make real world impact.
I’m proficient in SQL and big data systems. My goto tool for automation is python, for visualization I use tableau and power BI and for predictions I love to use Python Scikit-Learn. I have an intermediate proficiency in Tensor Flow and Pytorch.
I’m driven by my belief in continuous learning and am currently on a dedicated journey to become a Machine Learning Engineer. With each project and concept, I aim to deepen my understanding of data, algorithms, and real-world applications to build intelligent systems that create value to businesses, societies and the world at large.
Education
Experiences
Analyzes sales datasets using Panda, Numpy and Matplotlib to identify trends in customer preferences of hair extensions lengths, color and style. Conducted A/B test on marketing channels using UTM parameters and SQL to identify the platform with the best churn rate, allowing company make the best choice marketing decisions. Created visualization dashboards using EXCEL and TABLEAU to help stakeholders understand sales and marketing trends, and to make informed decisions.
Monitored inventory levels, analyzed usage trends, and updated material forecasts to meet dynamic production demands using PIVOT tables. Implemented a real-time inventory tracking system and improved scheduling accuracy, reducing material stock out by 25%. This was achieved using SAP ERP, Excel (with advanced formulas and pivot tables), and Power BI for inventory visualization and reports.
I conducted market research using survey data, google trends and market reports, and used Excel, Pandas and Matplotlib to provide in-depth analysis on competitive advantages and long-term economic viability. Built visualizations and non-technical reports for stakeholders using tools like Tableau, Power BI, and Excel. Delivered a comprehensive KPI and performance metrics that projected over 30% potential ROI within the first two years of launch, attracting funding interest and allowing the project to move into the prototype development phase.
Conducted in-depth reservoir analysis for Niger Delta oil and gas wells, assessing hydrocarbon volumes, estimating recovery factors, and recommending optimal recovery strategies. Successfully improved oil recovery by 12% in a mature field through the implementation of a gas injection EOR strategy, validated using reservoir simulation models and tools such as Ellipse, MBAL, Petrel and OFM. This resulted in over 15% reduction in project field redevelopment costs.
Coordinates tasks, projects and activities, within the Area of the organization to ensure members within the area are aligned to organizational goals and objectives. Trains members within the organization to be adept with organization vision and mission. Ensure the physical, mental and emotional wellbeing of each members within the area. Innovate methods, ideas and strategies to enhance participation, recruitment and collaboration within the area.




