Rebecca Uzondu Ndubuisi

Rebecca Uzondu Ndubuisi

$10/hr
Data Analyst
Reply rate:
-
Availability:
Full-time (40 hrs/wk)
Age:
28 years old
Location:
Ikeja, Lagos, Nigeria
Experience:
2 years
NDUBUISI, REBECCA UZONDU- Ihenu uburu, Ohaozara LGA Ebonyi State. Objective I am a biochemist turned data analyst gearing towards data science. I love using data to create insights and make decisions. I am interested in the application of data analysis to make business data driven decisions. I am committed to learning and a good team player. Experience Jan 2022 Present Teamapt Limited Customer Success Officer Providing quick and high-quality customer service through prompt and useful responses to customer queries. Ensuring every customer support request is logged for tracking. Guiding customers on product usage while driving customer selfsufficiency. Soliciting client feedback on product features and capabilities December 2021 January 2022 Molecular Research Foundation for Students and Scientists, Nnamdi Azikiwe university, Awka, Nigeria. Laboratory Intern Involved in the extraction of DNA. Ran Agarose gel Electrophoresis. Conducted Polymerase Chain reaction analysis on extraction DNA. November, 2020 November, 2021 Seven up bottling Company, ilorin Plant. Quality Control personnel (NYSC) Managed the day-to-day running of the lab, documentation and the organisation of the IT students in the lab. Prepared Reagents for carrying out analysis in the lab. Involved in carrying out the day-to-day quality Control analysis in the lab. Education August 2022 March 2023 Tech4Dev Data Science and AI Cum laude December 2021 May 2022 Cousera Google Data Analytics November 2015 November 2019 Nnamdi Azikiwe University, Awka, Anambra State. Bsc in Applied Biochemistry Second Class (Upper division ) Skills Machine Learning Python Structured query language(SQL) Data Visualizations ( Tableau, Power Bi and Flourish ) Team work Communication skill Projects Machine learning Project I analysed a dataset about Stroke illness in Patients and created a model for predicting Stroke illness in Patients. Data wrangling I analysed and wrangled WeRate Dogs twitter account. I was granted access to twitter API and I analysed this data using python library Tweepy. No Appointment Show I analysed the medical appointments dataset in Brazil. The aim of this project was to identify the factors that are important in order to predict if a patient will show up for their scheduled appointment. Bike share for all trip I analyzed the bike share dataset for San Francisco Bay Area. The aim of this project was to identify factors that affect the duration spent by users for each bike trip. Portfolio Link http://medium.com/@ubeckyndubuisi Certifications Programming for Data Science with Python Udacity(Advance Africa Scholarship) March 2022 - May 2022 Data Analyst Nanodegree Program Udacity June 2022 - August 2022
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