Nsisong Ekom Mboho

Nsisong Ekom Mboho

$8/hr
Data Analysis / Virtual Assistance / Sales Representative / Personal Assistance
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Location:
U Yo, Akwa Ibom, Nigeria
Experience:
3 years
NSISONG EKOM MBOHO PROFILE WORK EXPERIENCE A Data Analyst and Virtual Assistant who loves numerical problem solving and finding patterns in data and organizing work schedules, overseeing effective running of an organization. I am skilled in Executive, Virtual and Personal Assistance as well as Analyzing Data. I seek a position to utilize my skills in an industry that offers professional growth while being resourceful, innovative, and flexible Administrative Assistant:(7 Seer Tech-Hub) CONTACT PHONE - Feb,2021 – July,2022 • Responsible for analyzing sales data and determining best quantity for purchase using Microsoft Excel • Internal auditing of available stock quantity in store and on shelf Internship: (Datalab Nigeria) Aug , 2020 – Jan, 2021 • Cleaned and prepared dataset using Microsoft Excel, Google sheet and Python • Design and supervision of survey • Trained enumerators on best field practices for survey • Handled front desk customer Care service and Complains Adherence Counselor (MaryLand Global Nigeria) Feb 2016 – Feb 2020 Counselled consented clients on HIV testing and post test result revealing. Counselled Positive clients on Drugs Adherence Link positive clients to nearby care centers and support group. EMAIL:- EDUCATION Links LinkedIn Google Data Analytics Professional Certificate Course July 2022 Abuja Data School (Data Analytics Traini8ng) June 2020 Twitter HARD SKILLS Microsoft Excel ⦿⦿⦿⦿⦿ Maintaining Inventory ⦿⦿⦿⦿⦿ Client/Customer Service ⦿⦿⦿⦿⦿ SOFT SKILLS Dedicated Independent Accountable Team Work Resilient Executive Assistance training (Kode House Nigeria March 2020 Akanu Ibiam Federal Polytechnic, Ebonyi State, Nigeria (Higher National Diploma Science Laboratory Technology) COURSES Soft Skills Training Udemy Virtual / Executive Assistance Training Course Data Analysis with Python Predict Employee Turnover using IBM Watson Studio IBM Digital Nation Data Entry, Cleaning Analysis and Visualization with Microsoft Excel, Google sheets, SQL and Power BI REFEREES Available on Request
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