Neema Wangari

Aspiring Data Analyst | Data Analysis Course Applicant

New York, US.

About

Highly motivated and detail-oriented professional with a strong aptitude for problem-solving and a passion for extracting insights from data. Eager to leverage foundational analytical skills and a commitment to continuous learning to excel in an intensive data analysis course and embark on a career in data science.

Work

Retail Solutions Inc.

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Customer Service Representative

New York, NY, US

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Summary

Provided exceptional customer support, resolved complex issues, and contributed to operational efficiency through meticulous data entry and reporting.

Highlights

Resolved an average of 50+ customer inquiries daily, achieving a 95% customer satisfaction rating through effective problem-solving and clear communication.

Analyzed customer feedback data to identify recurring service issues, contributing to a 10% reduction in complaint volume over six months.

Maintained accurate records of customer interactions and transactions in CRM software, ensuring data integrity for subsequent analysis and reporting.

Collaborated with the product team to document frequently asked questions and develop self-service resources, reducing inbound call volume by 15%.

University Bookstore

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Sales Associate

New York, NY, US

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Summary

Managed inventory, processed sales, and provided product recommendations, optimizing store operations and enhancing customer experience.

Highlights

Managed inventory for over 2,000 academic titles, ensuring accurate stock levels and minimizing discrepancies by 8% through weekly audits.

Processed an average of 70+ transactions daily, handling cash and credit card payments with 100% accuracy.

Assisted in analyzing sales data to identify popular textbook trends, informing purchasing decisions that increased relevant stock by 15%.

Education

New York University

New York, NY, United States of America
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Bachelor of Science Business Administration Grade: 3.5/4.0

Courses

Introduction to Statistics

Principles of Microeconomics

Business Data Analysis

Quantitative Methods for Business

Database Management Fundamentals

Languages

English

Skills

Analytical Skills

Problem-Solving, Critical Thinking, Data Interpretation, Pattern Recognition, Root Cause Analysis.

Technical Tools

Microsoft Excel, Google Sheets, CRM Software, Data Entry, Microsoft Office Suite.

Data Fundamentals

Basic Statistics, Data Collection, Data Validation, Reporting, Database Concepts.

Soft Skills

Communication, Teamwork, Attention to Detail, Organization, Time Management, Adaptability.

Neema Wangari