Esebom Ekperikpe

Ekperikpe Esebom is a versatile data professional with extensive hands-on experience spanning Artificial Intelligence (AI), Machine Learning (ML), Data Science, Data Governance, and Data Protection. His professional journey with TIGH Tech and Central Soft Support Services reflects a robust blend of analytical expertise, technical innovation, and leadership in developing data-driven solutions that enhance business performance and compliance.

At TIGH Tech, Ekperikpe worked as a Data Scientist and Machine Learning Engineer, where he developed predictive and classification models to optimize operational efficiency and enhance decision-making processes. His expertise in AI and ML involved designing intelligent algorithms for trend forecasting, anomaly detection, and customer behavior analysis. He utilized advanced tools such as Python, TensorFlow, and Scikit-learn to build, train, and optimize models, ensuring high performance and accuracy. Through his work, he contributed to automating complex business processes and translating large datasets into actionable insights.

As a Data Analyst and Data Engineer at Central Soft Support Services, Ekperikpe played a key role in data integration, analysis, and pipeline development. He managed end-to-end data workflows — from extraction and transformation to visualization and reporting. His proficiency in SQL and MySQL database management allowed him to design efficient relational databases and maintain data integrity across multiple systems. By leveraging tools such as Power BI, Tableau, and Python’s pandas library, he developed interactive dashboards that provided real-time business intelligence to stakeholders.

In the area of Data Governance and Protection, Ekperikpe served as a Data Protection Officer (DPO), ensuring compliance with data privacy regulations and implementing best practices aligned with GDPR and NDPR frameworks. He developed data management policies, conducted data audits, and trained employees on data handling and cybersecurity protocols. His commitment to safeguarding organizational and customer data established a strong foundation for ethical and compliant data use within his organizations.

Beyond technical execution, Ekperikpe has contributed significantly to Training and Skill Development, mentoring junior data professionals and facilitating workshops on data analytics, machine learning, and ethical AI practices. He also engaged in research focused on improving model accuracy, optimizing data-driven decision systems, and enhancing data protection mechanisms.

Overall, Ekperikpe Esebom’s career demonstrates a holistic command of the data value chain — from collection and governance to analysis, modeling, and optimization — underscored by a passion for continuous learning and innovation in the digital ecosystem.