Nwosu Chisom Martin

MARTIN NWOSU Port Harcourt, Rivers State EDUCATION_____________________________________________________________________________ Abia State University Uturu ● Bachelor of Economics February 2025 ● Second Class Upper Division SKILLS__________________________________________________________________________________ ● Data Entry & Management ● Typing & Documentation ● Data Verification & Validation ● Accuracy & Attention to Detail ● File Organization & Record Keeping ● Time Management ● Microsoft Excel, Word & Outlook ● Communication (Verbal, Written) ● Team Collaboration CAREER_________________________________________________________________________________ Sales & Customer Data Assistant December 2024 – May 2025 Contact Rhemac, Port Harcourt ● ● ● ● Entered, updated, and maintained customer data with high accuracy. Verified and cleaned data to ensure consistency across reports. Prepared reports from sales records for easy tracking and analysis. Responded to inquiries and maintained organized client documentation. Technical & Administrative Support (Remote) March 2024 – November 2024 Self-Employed ● Managed digital calendars, scheduled meetings, and handled data entry tasks. ● Created, organized, and updated spreadsheets and documents. ● Maintained confidentiality of sensitive information while meeting tight deadlines. ● Ensured accuracy in client data and meeting records. Data Analyst Intern (Remote) Psyliq, Bengluru, India December 2023 – January 2024 ● Entered and validated large datasets to ensure quality and consistency. ● Used Excel and Power BI to clean and manage data for business reports. ● Collaborated remotely with team members to deliver accurate analytical results. PROJECTS_______________________________________________________________________________ ● Company Research and Data Organization Using Google sheet ● PDF to Google Sheets: Data Extraction & Formatting ● ● Cleaned and Transformed a Retail Superstore Dataset Using Python (Pandas and NumPy) Created an Interactive Tableau Dashboard to Visualize Key Metrics in The Retail Superstore Dataset