Samuel Abe

Samuel Abe

$10/hr
Analyst
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Location:
Lagos, Lagos State, Nigeria
Experience:
3 years
SAMUEL ABE DATA ANALYST LinkedIn | Portfolio Professional Summary Results-driven Data Analyst with over 3 years of experience transforming complex datasets into actionable insights that enhance project delivery and operational efficiency across the production and nonprofit sectors. Skilled in SQL, Power BI, Excel, and Python, with expertise in data cleaning, analysis, and visualization. Proven ability to collaborate with cross-functional teams, track KPIs, and design interactive dashboards that drive data-informed decision-making. Highly adaptable, quick to learn new tools, and passionate about leveraging data to solve real-world business challenges. Professional Experience Exxom – Assistant Human Resource /Analyst (Contract Ended) Mar 2025 – Aug 2025, Florida, United States (Remote) • Led the end-to-end interview process for over 1,000 software developers by coordinating Zoom schedules, recording sessions with OBS, and organizing documentation on Google Drive, which streamlined workflows and reduced scheduling delays. • Collected, structured, and analyzed data on the interview process for software developers, applying reporting frameworks in Google Sheets that enhanced data accuracy and accessibility. • Built automated workflows using advanced Google Sheets formulas, which reduced data entry time by 40% and minimized human error, boosting overall process efficiency. • Generated actionable insights from candidate performance metrics and presented data-driven recommendations to the Head of HR, leading to a 25% improvement in hiring accuracy and more effective decision-making. • Leveraged Slack for team communications and LinkedIn for candidate sourcing. Dare Adeboye Foundation – Assistant Project Manager / Data Analyst Jul 2023 – Jun 2024, Lagos, Nigeria • Managed data, video recordings, and documentation across over 50 countries for Africa’s largest production project, strengthening project tracking and cross-border collaboration. • Collaborated with the Project Manager to map and engage over 50 schools, established over 10 examination centers, and analyzed data from over 5,000 students, streamlining scholarship candidate selection and boosting process efficiency and transparency by 25%. • Collected, cleaned, and analyzed data using Google Sheets and Excel, generating insights that improved reporting accuracy. • Delivered monthly Power BI reports to senior management, analyzing performance metrics, achievements, and improvement areas across projects, which enhanced evaluation accuracy and improved data-driven decision-making efficiency. Lifemate Nigeria – Quality Control Officer Mar 2020 – May 2023, Lagos, Nigeria • Analyzed production, supplier, and customer feedback data to ensure compliance with quality standards, identified root causes of defects, and implemented corrective actions, reducing product returns by 15% and improving customer satisfaction while enabling cost savings through data-driven process improvements. • Conducted data-driven quality assessments across production and supply chain processes, leveraging Excel dashboards to track KPIs, reduce defects, and optimize raw material usage, saving the company significant costs annually. • Monitored and analyzed product quality metrics, supplier performance, and customer complaints, providing actionable insights that improved compliance, reduced rework, and strengthened brand reputation. • Developed and maintained real-time reporting systems, translating complex datasets into clear, actionable insights for management, supporting strategic decision-making and continuous improvement initiatives. Dynesty Water– Sales Officer Feb 2017 – Dec 2020, Lagos, Nigeria • Leveraged data analysis to track sales performance, monitor KPIs, and generate actionable insights that optimized distribution routes, reduced operational costs, and improved sales growth and customer retention for sachet and bottled water products. • Tracked and analyzed daily and monthly sales data for sachet and bottled water, producing actionable reports that improved revenue visibility and informed sales strategies. • Identified customer trends and seasonal demand patterns, providing insights that supported targeted distribution campaigns and market expansion. • Increased monthly sales by 18% by analyzing customer demand patterns and optimizing product distribution routes. • Reduced distribution costs by 15% through data-driven route planning and resource allocation. Education B.Sc., Economics Afe Babalola University, Ado-Ekiti, Nigeria Oct 2010 – Oct 2015 Technical Skills • Tools: SQL, Power BI, Microsoft Excel, Python, Google Sheets • Soft Skills: Communication, Time Management, Teamwork, Attention to Detail, Problem-Solving • Other: Slack, Data Visualization, KPI Tracking, Dashboard Development Certifications • Introduction to Power BI – Incubator Nigeria • Data Analytics Bootcamp – Alexander Fréburg Professional Development • Ongoing training in Predictive Analytics with Python (Scikit-learn), focusing on model development, evaluation, and forecasting. (Sept 2025 – Present) • Completed professional training in Data Analysis with Microsoft SQL and Python, applying exploratory data analysis (EDA) to query, clean, and visualize datasets, uncovering patterns and supporting data-driven decision-making. (July 2024) • Completed course and training in Data Analysis with Advanced Excel and Power BI, applying skills to build interactive dashboards, perform exploratory data analysis (EDA), and deliver actionable insights that improved reporting accuracy and decision-making. (June 2023) Projects • World Population & Economic Growth Analysis Web scraping to collect and analyze global population data from Wikipedia. • Top Nigerian Songs (Spotify Dataset) Analyzed popular music trends using Python and visualized data on Power BI. Extracurricular Activity Assistant Data Analyst Instructor – Incubator Nigeria Aug 2023 – Oct 2023, Lagos • Supported training sessions on SQL, Power BI, and Excel for entry-level analysts. • Ensured a collaborative and productive learning environment.
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