Emmanuel Ifire

Connections 10

Excel Data Entry & Data Validation For Large & Small Dataset at Lime

since August, 2023

em***re@gmail.com

About

Are you looking for a professional with a high level of skills and expertise in efficiently and accurately entering data and validating data into electronic systems, with a particular focus on using Excel for data management and automation tasks? Search no more! I'm your guy! I'm an Excel wizard! I can make spreadsheets and do things you never even dreamed of! Below is a list of professional services that I offer: ✔. Data/Image annotation ✔. Data Entry ✔. Image Validation ✔. Excel Data Entry ✔. Data Quality Assurance ✔. Excel Automation ✔. Data Analysis and Reporting ✔. Data Validation ✔. PDF to Ms. Excel Conversion ✔. Image to Ms. Excel Conversion ✔. Ms word to Ms. Excel Conversion Overall, as a Data Entry Expert with proficiency in Excel Automation combined with my technical skills, attention to detail, problem-solving abilities, and passion for organizing and managing data effectively using Excel's powerful features, you can expect top-notch services that will enhance your business productivity. Plus, I'm really good at making spreadsheets look pretty with fancy fonts and colors - because that's what really matters, right? Thank you in advance for considering my services. I am excited to assist you in achieving seamless data management and contribute to the success of your business

Skills

Administration
Customer service
Office management
System administration
Teaching
ICT
IT

Recommendations

Johana Achacha

10/12/2023

"Impeccable and outstanding performance "

Emmanuel Ifire
2y
Thank you!

Experience

Emmanuel Ifire

Work experience

Excel Data Entry & Data Validation For Large & Small Dataset at Lime

August, 2023 -
Fulltime

Data Entry: Accurately input data from various sources into Microsoft Excel spreadsheets. This includes text, numbers, dates, and other relevant information.
Data Cleaning: Clean and format data to ensure consistency, accuracy, and uniformity. This may involve removing duplicates, correcting errors, and standardizing data formats.
Data Validation: Implement validation rules to ensure that data entered into Excel adheres to specific criteria. This helps maintain data quality and integrity.
Data Organization: Organize and categorize data within Excel spreadsheets, making it easy to retrieve and analyze when needed.
Data Analysis: Perform basic data analysis tasks such as sorting, filtering, and creating charts or graphs to visualize data trends.
Data Entry for Large Datasets: Handle large volumes of data efficiently, often requiring the use of advanced Excel features and functions to speed up the process.
Quality Assurance: Ensure the accuracy and consistency of data to prevent errors or inconsistencies that could impact decision-making or reporting.
Documentation: Maintain detailed records and documentation of data sources, changes, and validation procedures for audit and reference purposes.
Communication: Collaborate with team members, data owners, and supervisors to clarify data requirements and address any data-related issues.
Accomplishments:
Error Reduction: Successfully reducing data entry errors and improving data accuracy through careful validation and cleaning processes.
Efficiency Improvement: Developing and implementing Excel macros or automation scripts to streamline data entry and validation processes for large datasets, resulting in time and cost savings.
Data Consistency: Ensuring that data within Excel is consistent and conforms to established standards, making it more useful and reliable for decision-making.
Timely Delivery: Meeting deadlines for data entry and validation tasks, particularly in situations where quick data processing is essential.
Improved Reporting: Enabling better data-driven decision-making by providing clean, well-organized data that can be used for reporting, analysis, and forecasting.
Problem Solving: Identifying and resolving data-related issues or discrepancies, thus contributing to better data quality.
Effective Communication: Collaborating with team members and stakeholders to clarify data requirements and address any data-related concerns, ensuring a smooth flow of information.
Documentation and Compliance: Keeping thorough records and ensuring compliance with data entry and validation procedures, which may be important for auditing and regulatory purposes.