Data Science, Data Analytics, Data Visualization, Data Modelling, Predictive Analytics, Statistical Data Analysis, Machine Learning, ETL Processes, KPI Tracking, Data Cleaning, Data Transformation, Data Integration, Forecasting.
Python, Pandas, NumPy, Matplotlib, SQL, Postgres, MS SQL, Power BI, Tableau, Microsoft Excel, Microsoft PowerPoint, Microsoft Teams, Google Suite, Power Apps.
Teamwork and Collaboration, Communication Skills, Problem Solving, Planning and Organization, Decision-Making Support, Stakeholder Management, Cross-functional Collaboration, Process Improvement, Client Management, Business Intelligence.
Ikeja, Lagos, Nigeria
Summary
Leads data analytics initiatives at Gurugeeks Royalty, developing advanced solutions and streamlining operations for FMCG clients.
Highlights
Developed and deployed predictive analytics solutions for FMCG clients, leveraging historical transactional data and consumer behavior trends to forecast demand, optimize stock levels, and identify early indicators of customer churn.
Managed end-to-end data lifecycle, cleaning, transforming, and integrating data from multiple sources (CRM, ERP systems) to create reliable datasets for analysis and reporting.
Partnered with cross-functional engineering and product teams to establish and track custom KPIs for newly launched software features, ensuring measurable impact aligned with strategic development objectives.
Designed and deployed dynamic Power BI dashboards, consolidating real-time data on software usage metrics, user engagement patterns, and FMCG retail performance, enabling data-driven decisions across product and sales teams.
Automated data preparation and reporting workflows using Python, reducing manual reporting time by over 60% and ensuring data accuracy across multiple client accounts.
Yaba, Lagos, Nigeria
Summary
Performed statistical data analysis and developed machine learning models to predict customer and product demand at GoMyCode.
Highlights
Conducted advanced statistical data analyses and developed machine learning models using Python to predict future customer and product demand.
Executed comprehensive data cleaning and processing using Microsoft Excel and SQL, generating visualizations to support key business decisions.
Collaborated with cross-functional teams of senior data scientists and analysts, contributing to solutions for complex analytical challenges.
Performed ETL processes on client data sources and utilized SQL queries to identify trends, yielding insights for operational improvements.
Monitored and tracked key performance indicators (KPIs) including on-time delivery rates, transit times, and damage rates to assess site performance.
Developed comprehensive reports and dashboards, presenting data-driven findings and insights to stakeholders, including QC managers and operations executives.
Ikeja, Lagos, Nigeria
Summary
Optimized operational efficiency through data analysis and developed interactive dashboards for Talgd Hub, improving decision-making.
Highlights
Analyzed data on operational processes, including warehousing and delivery, to identify inefficiencies and bottlenecks in workflows and develop recommendations for improvement.
Designed and deployed interactive dashboards using Power BI and Excel, improving decision-making by 20%.
Conducted statistical data analysis and predictive modeling using Python and Microsoft Excel to inform operational strategies.
Developed and maintained robust data systems, providing critical support for operations department functions.
Collaborated with cross-functional teams (finance, customer service, operations managers) to provide data-driven insights for process enhancement.
Ensured data quality and integrity through rigorous validation, cleansing, and normalization processes.
Lagos, Lagos, Nigeria
Summary
Facilitated data analysis training and workshops, developing frameworks to enhance students' understanding of data applications.
Highlights
Provided personalized guidance and mentorship to students on technical and analytical skills, fostering their professional development.
Led interactive group workshops, enhancing problem-solving and critical analytical thinking skills among participants.
Developed practical data analysis frameworks, enabling students to understand and apply data concepts to real-world business scenarios.
Canada, , Canada
Summary
Analyzed customer behavior and developed a sales dashboard, improving efficiency and data quality for Glomacs Institute.
Highlights
Analyzed customer behavior and market trends, preparing comprehensive reports on marketing opportunities and business conditions.
Developed a sales dashboard using Power BI, increasing sales efficiency by 25% through improved data visualization.
Executed data preprocessing, reducing data errors by 30% and significantly improving overall data quality.
Collaborated with operations and finance teams to provide data-driven insights, supporting informed decision-making.