Data Entry Clerk with Pharmacy Focus

Jun **** -

****

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Sandra Ibeh

Data Entry Clerk

+234********** **********@*****.***

Objective

Detail-oriented and highly organized Data Entry Clerk with over a year of experience in pharmacy settings, ensuring accurate data management, inventory tracking, and record keeping. Proficient in Microsoft Excel and data entry systems, with a strong foundation in data analysis and reporting. Adept at working independently in remote environments and maintaining high levels of accuracy and efficiency. Experienced in collaborating with teams to resolve discrepancies and support administrative workflows. Experience

JUNNO PHARMACY LIMITED

Data Entry Clerk

- Accurately inputting and updating patient records, prescription details, and inventory data into pharmacy management systems with a focus on precision and data integrity.

- Verifying and cross-checking data entries to ensure consistency and reduce errors, maintaining a 99% accuracy rate.

- Assisting in generating daily, weekly, and monthly reports on medication stock levels and prescription trends to support pharmacy operations.

- Collaborating with pharmacists and administrative staff to resolve data discrepancies and streamline record-keeping processes.

- Organizing and maintaining electronic and physical files, ensuring easy retrieval and compliance with data privacy standards.

- Supporting administrative tasks such as scheduling, correspondence, and document preparation to enhance overall workflow efficiency.

Skills

Data Entry & Management: High-volume data entry, record verification, database maintenance, electronic filing Technical Proficiency: Microsoft Excel (advanced), Google Sheets, Power BI, Jupyter Notebook, Python Software & Tools: Microsoft Office Suite, Google Forms, Tableau, Data entry software Soft Skills: Attention to detail, time management, problem-solving, written and verbal communication, independent work ethic Projects

BUS RENTALS - ALTHUB (ALTSCHOOL AFRICA). MAY 2024 - MAY 2025

- Generated primary data from scratch through google forms collecting over 50 unique responses.

- Performed data cleaning, feature engineering, and exploratory data analysis (EDA) using Pandas and Matplotlib to ensure data quality.

- Built and evaluated predictive models (Linear Regression and Random Forest) to identify rental trends and customer preferences.

- Deployed final models and visualized insights using Power BI and Seaborn, supporting strategic business planning.

- Collaborated with a team to present findings and recommend data-driven resource allocation strategies. Education

Altschool Africa

Data Science / Diploma

Nnamdi Azikiwe University, Awka

Botany

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