Iyk Morris

A prospective data analyst who strives to pose and answer questions with quantitative driven insights with knowledge in data analytics, data visualizations, process validation with a proven understanding of customer requirements and translating them into actionable project plans. A natural problem-solver with cross functional solid knowledge of information technology and business processes and experience producing intelligence to enhance business planning and operations. Highly successful at leveraging data trends and patterns and committed to continuing professional growth through training.

EXPERIENCE
March 2018 to Date
Position: Data Analyst
United Nations Office at Nairobi (UNON)
Responsibilities
• Received, cleaned, and prepared data from different departments using Python and SQL to help data scientists build ML models.
• Visualize and communicate insights, patterns, and trends from complex datasets.
• Maintain a working knowledge of Data ETL, visualization API frameworks and statistical methods in python.
• Facilitated data distribution, file sharing and report tracking with SharePoint.
• Measured and demonstrated organizational efficiencies with data analysis and reporting.
• Identified, recommended, and implemented appropriate continuous improvement opportunities.

Sep 2013 to Dec 2017
Position: Data Analyst
Jumia Kenya Limited
Responsibilities - Data Analyst
• Organized quarterly projection data gathered by senior analysts in an orderly way for executive management.
• Reported bi-monthly data analysis findings to upper management to use in making organizational decisions.
• Participated in collecting, organizing, and interpreting data along with fellow colleagues.
• Organize, extrapolate, and disseminate data across departments to be used for drawing conclusions about the success of current methods.
• Present detailed reports about the meaning of gathered data to members of management and help them identify scenarios utilizing modifications in the data.
• Utilized MS SQL, data warehousing programs, Tableau, and other dashboard/visualization toolsets for data intelligence and analysis.
• Converted data into actionable insights by predicting and modeling future outcomes.
 

BSc. Computer Science

CERTIFICATIONS • Data Science Master Class Program - Simplilearn • IBM-Python 101 for Data Science