Durueke Franklin

Durueke Franklin Obinna • • • • Phone: - Email:-LinkedIn: linkedin.com/in/durueke-franklin Location: FCT, Abuja PERSONAL PROFILE I am a highly skilled and results-oriented Data Analyst with experience in data extraction, processing, and analysis. I have expertise in working with cloud platforms to extract and manage large-scale datasets. My academic background in Financial Management Technology and professional engagements across various sectors have honed my ability to provide actionable insights through innovative data techniques. With proficiency in programming, database management, and advanced visualization tools, I excel in developing data-driven strategies that empower organizations to achieve measurable success. KEY HIGHLIGHTS • Data Extraction and Cloud Platforms: Extensive experience extracting and processing data from platforms like Google BigQuery ensuring seamless integration with analytics pipelines. • Machine Learning Expertise: Proficient in developing machine learning models for classification, regression, clustering, and time-series forecasting, leveraging libraries like Scikit-learn, TensorFlow, and Keras. • Statistical Analysis and Modeling: Advanced knowledge of statistical modeling, hypothesis testing, and predictive analytics, with applications in solving real-world business problems. • Programming: Proficient in Python (pandas, numpy, matplotlib, seaborn), and SQL (PostgreSQL, Google BigQuery) for end-to-end data analysis workflows. • Visualization Expertise: Adept at creating interactive dashboards and reports using Power BI, Tableau, Excel, and Matplotlib, making complex data accessible and actionable. • Teamwork and Collaboration: Partnered with cross-functional teams to deliver data-driven solutions, streamline processes, and enhance decisionmaking through effective communication and shared goals. EDUCATION FEDERAL UNIVERSITY OF TECHNOLOGY OWERRI, NIGERIA December 2015 – October 2019 B. Tech. Financial Management Technology WORK EXPERIENCE Data Analyst Artificial Intelligence Technologies Limited, Abuja (July 2024 – Present) • Extract and analyze large-scale datasets from cloud platforms such as Google BigQuery to derive actionable insights. • Collaborated with a team of analysts and scientists, on the design, execution, and delivery of data-driven projects. • Develop machine learning models for customer segmentation, demand forecasting, and predictive maintenance. • Automate data extraction processes, ensuring efficiency and scalability for high-volume data projects. • Build and optimize dashboards and reporting systems tailored to client needs, enhancing decision-making processes. • Stay updated with emerging trends in data analytics, machine learning, and cloud technologies to ensure the organization remains at the forefront of innovation. Executive Assistant Fabian Group, Garki, Abuja – August 2023 to May 2024 • Managed executive schedules and maintained company records using Excel and Google Sheets to ensure smooth operation. • Prepared detailed expense reports and presentations, providing key data for budget planning and decision-making. • Supported the executive team by compiling data-driven reports that contributed to operational improvements. • Enhanced internal processes by automating data entry and ensuring accuracy in data management tasks. CERTIFICATIONS • Google Data Analytics Professional Certificate (In view) • Introduction to Statistics – Stanford University (2024) • Advanced Microsoft Excel Certification (2022) SKILLS • Data Extraction and Integration: Expert in querying and managing data from cloud platforms, relational databases, and APIs. • Machine Learning: Proficient in regression, classification, clustering, and natural language processing techniques. • Data Visualization: Advanced proficiency in creating interactive dashboards and reports using Power BI, Tableau, and R. • Database Management: Expertise in SQL (DDL, DML, DQL) and cloud databases like Google BigQuery. • Statistical Analysis: Strong grounding in hypothesis testing, time-series forecasting, and multivariate analysis. • Programming: Advanced skills in Python, and SQL for end-to-end analytics. • Project Management: Excellent ability to deliver data analytics projects on time and within scope. • Adaptability and Collaboration: Quickly adapt to dynamic environments and collaborate with diverse teams to achieve project goals and deliver impactful solutions. PROJECTS 1. Employee Attrition Analysis • Conducted analysis on employee turnover data, building predictive models to identify risk factors for attrition. • Presented findings in interactive Tableau dashboards to HR stakeholders for strategic workforce planning. 2. Sales Analysis Power BI Dashboard • Developed an interactive Power BI dashboard for a retail company, integrating multiple datasets to analyze regional sales patterns, identifying key trends and underperforming markets. • Leveraged SQL queries to extract sales data from a database, improving data accuracy and accessibility for stakeholders. • Recommended actionable strategies that led to a 10% improvement in quarterly sales. 3. Financial Budget Optimization • Analyzed corporate financial data using Python to identify cost-saving opportunities and budget reallocation strategies. • Used Excel pivot tables and charts for detailed breakdowns and reporting of financial performance. • Created visualizations to present recommendations to senior management, supporting decision-making. 4. Survey Data Analysis for Customer Satisfaction • Processed and analyzed survey responses using SPSS to determine customer satisfaction trends and pain points. • Applied statistical methods to quantify satisfaction levels and assess the impact of service changes. • Delivered findings in a Tableau dashboard, enabling the operations team to prioritize improvements. 5. Inventory Management Insights • Designed a data model using SQL to track inventory levels, reorder points, and supplier performance. • Automated reporting with Excel macros to provide real-time inventory status updates. • Visualized key metrics in a Power BI dashboard, improving inventory forecasting accuracy by 15%. INTERESTS • Data Science and Machine Learning • Continuous Learning (data analytics trends and tools) • Mentorship and Collaboration in Data Projects REFEREES Available upon request.