Victor obichukwu ononye

Enthusiastic Data Analyst Extraordinaire

CAREER BEGINING After completing my education, I started my career as a temporary data Entry Officer for Adams Smiths international in 2012. In 2013, I got appointment with Federal Medical Center Abuja where I work till date as a Medical Health Records & data management Officer. In this role, I was responsible for collecting, analyzing, and interpreting data to help make informed business decisions. I quickly learned the importance of data quality, accuracy, and integrity in the analysis process.

PROFESSIONAL GROWTH As my career progressed, I took on roles of increasing responsibility and complexity. I honed my skills in data visualization, machine learning, and predictive analytics. I also became proficient in using a variety of tools and technologies, such as SQL, Python, R, and Tableau, to analyze and visualize data. My journey as a remote professional began with a passion for data and a relentless drive to excel in virtual environments. I honed my skills through hands-on experience and continuous learning.

PROFESSIONAL PHILOSOPHY As a data analyst, I believe in the power of data to drive meaningful change and innovation. I am committed to continuously learning and growing in my field, and I strive to stay abreast of the latest trends and technologies in data analysis. I also believe in the importance of collaboration and teamwork, and I enjoy working with colleagues from diverse backgrounds to achieve common goals.

KEY ACHIEVEMENT Throughout my career, I have had the opportunity to work on a wide range of projects and initiatives. I have helped Our organization to raise awareness and Campaigns against various diseases, infections, blood & genetic Sicknesses. improve patient Enlightenment strategies, and identify new health management opportunities. I have also been involved in developing data-driven solutions to complex health problems, such as early stage Cancer detection and risk management.

PROFESSIONAL MEMBERSHIP International Society for data science and Analytics (ISDSA)

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