I am a confident, God fearing, self-motivated, quick learner, innovative, result oriented, committed to attainment of goals and able to work with minimum supervision. I am hardworking, reliable, determined, an emphatic communicator, keen for new experiences, responsible, accountable, a good team player and team leader.
Talented Administrator highly successful at motivating teams and streamlining operations. Analytical problem solver, forward thinker and a persuasive communicator with exceptional talent in thinking outside the box for creative and achievable solutions.
Data Science expert analytical and critical thinker, able to analyse data and identify trends, develop models that predict behaviour. An expert in Knowledge transfer and with excellent training abilities.
IT Forensics Expert with experience in selecting, setting up and management of diverse technical equipment. An Expert in the collection, analysis, preservation and presentation of digital evidence.
Strong written and oral communication skills resulting in knowledgeable satisfied customers. Excellent instructional and problem-solving skills that reduce concerns related to new technology.
Skills
Education
- SungKyunKwan University, Korea2022 : Data Analytics(Customs )
Grade / GPA : N/A
Qualification : Certificate - Amity Future Academy, India2021-2022 : Data Science
Grade / GPA : B
Qualification : Diploma - Uganda Christian University, Nkozi2015 : Business Administration (Management)
Grade / GPA : B
Qualification : Masters - Uganda Management Institute2014 : Monitoring and Evaluation
Grade / GPA : B
Qualification : Post Graduate Diploma - Sikkim Manipal University, India2007 : Information Technology
Grade / GPA : B
Qualification : Bachelors Degree - Aptech Worldwide2006 : Software Engineering
Grade / GPA : A
Qualification : Advanced Diploma
Experience
- Uganda Revenue Authority2020 - To date : Supervisor Business Intelligence
Yearly Salary : 70,449,816.00
Job Duties :• Oversight role over the URA data warehouse (the eHub) • Change and Communications for the Data activities • Creation of dashboards, reports and data analyses • Development of the Corporate Sector report • Training users in areas of Data Analytics • Development of Machine Learning models
