Full-Stack Software Engineer with Data Focus

CHRIS IKE-OKONKWO

*****.**********@*****.*** 709-***-****

PROFESSIONAL SUMMARY

Detail-oriented Computer Science graduate with hands-on experience in full-stack and mobile app development, data analysis, and software engineering. Demonstrated success building scalable web applications and cross-platform mobile apps, implementing efficient database architectures, and leveraging analytical tools to extract meaningful insights. Committed to applying technical expertise, problem-solving skills, and collaborative approach to drive innovative software solutions.

TECHNICAL SKILLS

• Strong analytical skills with ability to address complex challenges using creative solutions.

• Proficient in object-oriented programming with Java; experienced in building scalable applications.

• Knowledge of automated testing practices to ensure reliable and maintainable software.

• Skilled at communicating technical solutions to nontechnical users and supporting client success with a customer-first mindset.

EDUCATION

Memorial University, St. John’s, NL October,2025

Bachelor of Science in Computer Science (Minor in Economics) WORK EXPERIENCE

Customer Service Rep: Tiffany Village Retirement Residence, NL Sept 2022 - Present

• Providing excellent customer service, handling inquiries efficiently in a fast-paced environment.

• Developed time management and team collaboration skills by assisting colleagues during peak hours.

• Strengthening problem-solving abilities by adapting to dynamic customer needs and resolving concerns promptly.

SOFTWARE DEVELOPER

Techleft Solutions Inc., St. John’s, NL March 2024 – July 2025

• Designed data flow strategies to support and improve data processing application efficiency by 20%.

• Created and maintained efficient, scalable, and secure code.

• Prepared and delivered training materials for end-users.

• Collaborated with the team to manage milestones and deliverables, achieving a 95% on-time project completion rate across multiple onboarding projects.

• Identified and mitigated project risks proactively, minimizing delays and ensuring smooth technical transitions for clients.

• Ensured data quality, lineage and observability across pipelines and models.

• Streamlined onboarding processes by standardizing technical documentation and data flow models, reducing support escalations by 25%.

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