Chinedu Anele

Detail-oriented data professional with over four years of experience working with data in analytical and scientific environments. Proficient in Python (pandas, NumPy) and SQL for data cleaning, transformation, and exploratory analysis, with hands-on experience uncovering trends and generating actionable insights from datasets. Currently pursuing a degree in Computer Science at the University of the People, California, after transitioning from a background in Medical Laboratory Science, where I developed strong attention to detail, data accuracy, and structured problem-solving skills.

I have a good professional skill in developing clear visualizations and dashboards using Power BI and Tableau to communicate findings to both technical and non-technical stakeholders. A collaborative team player with a strong commitment to delivering data-driven solutions and maintaining reproducible, well-documented workflows.

Senior Data Analyst at Datapod (2026-03 – Present)

• Delivered data analysis and data engineering solutions across 3 client projects (2 SMEs, 1 enterprise), working with sales, financial, user, and employee datasets
• Designed and implemented automated end-to-end (E2E) data pipelines using Python and SQL, enabling efficient data ingestion, transformation, and reporting workflows
• Built data warehouse structures using a medallion architecture to support scalable analytics and reporting
• Integrated processed data into Power BI dashboards, improving insight visibility and business reporting capabilities
• Reduced data processing and reporting time through pipeline automation and workflow optimisation
• Mentored and supervised 8 junior data analysts, providing technical guidance and ensuring high-quality project delivery

Lead Data Analyst (HR Department) at HHGCL (2025-04 – Present)

• Manage and analyze HR data for 100+ employees, ensuring data accuracy, integrity, and compliance across the employee lifecycle
• Developed Power BI and Excel dashboards to track workforce metrics, supporting monthly leadership decision-making
• Improved reporting speed, onboarding tracking, and data accuracy through process optimization and structured data management
• Automated payroll (pay slip) generation using Python (pandas, reportlab), eliminating manual processes and reducing errors
• Collaborate with cross-functional teams to support hiring decisions, workforce planning, and operational efficiency through data-driven insights

Data Analyst (Freelance) & Instructor (SPSS, SQL) at CIIGA Tech Academy (2022-06 – 2024-12)

• Trained 100+ students in SPSS and SQL, focusing on practical data analysis and statistical techniques
• Conducted statistical analysis for 50+ academic projects (Master's and PhD level), supporting research across multiple disciplines
• Utilized SPSS, Excel, and JASP for data cleaning, hypothesis testing, and interpretation of complex datasets
• Contributed to research outputs published in SCOPUS-indexed journals
• Improved analysis quality by cleaning inconsistent datasets, correcting flawed methodologies, and refining statistical approaches

Bachelor of Science (BSc) in Computer Science – University of the People

Bachelor of Medical Laboratory Science (BMLS) in Medical Laboratory Science – Enugu State University of Science and Technology (2016-08 – 2021-10)