Virginia Nyagah

Virtual Assistant

About

Data Analyst passionate about uncovering actionable insights for complex datasets. Proven ability to translate data into strategic recommendations that drive business growth. Expertise in Customer segmentation, data visualization, data mining and statistical modeling. Seeking opportunities to leverage data to solve challenging problems. Dedicated to delivering accurate and insightful data analysis to support informed decision making. Adept at identifying trends, patterns and anomalies in data to provide actionable recommendations that improve business performance.

Country

Kenya

City

Thika

Industry

Consumer Goods

Skill

Customer Relationship Management (CRM), Personal Assistance, Virtual Administrative Support, Search Engine Optimization (SEO), Customer Service Representatives, Data Mining, Data Scraping, Statistical Data Analysis, Data Analysis, Problem Solving, Phone Etiquette, Customer-Focused Service, Computer Literacy, Key Account Relationship Building, Communication, Key Accounts, Clerical Skills, Scheduling, Records Management, Customer Service Operations

Experience

Virtual Assistant

Virtually V

2025-12 - Present · 10 mos

Kenya

• Provide comprehensive administrative and customer support to purpose-driven businesses and entrepreneurs. • Manage client communications, inboxes, and calendars to ensure seamless operations. • Prepare essential documents and handled day-to-day administrative tasks, enhancing organizational efficiency. • Known for reliability, attention to detail, and a calm, professional demeanor, allowing clients to focus on their growth.

Data Entry Specialist

Upwork

2024-9 - Present · 2 yrs 1 mo

Data Analyst

Upwork

2024-8 - Present · 2 yrs 2 mos

- Collecting data from various sources - Streamlining data collection methods to create automated and easy-to-use routines - Designing databases and data systems - Maintaining databases and data systems by addressing errors and monitoring performance Analyzing collected data and putting it into a format that others can easily interpret - Interpreting data trends and patterns as they relate to the organization - Preparing reports for organizational leadership to use in a business setting - Collaborating with other employees, including engineers and programmers, to determine areas of - improvement in relation to data