Miracle Alozie Chijioke

I am a results-driven Data Scientist with over six years of professional experience that bridges mechanical engineering, operations, and advanced analytics. My career began in the fast-moving consumer goods (FMCG) beverage industry, where I specialized in maintenance and operations on high-speed Krones packaging lines. Working as a Maintenance and Operations Specialist and later as a Filler Equipment Specialist, I developed a strong foundation in process optimization, preventive and corrective maintenance, and data-driven decision-making.

Motivated by the impact of data on business outcomes, I transitioned into data science and machine learning. I hold relevant certifications in Data and Analytics and have completed intensive training in deep learning, reinforcement learning, and cloud technologies. My projects include building image classification models using convolutional neural networks, developing FastAPI services for model deployment on Azure, and creating predictive time-series models for stock market volatility. I have also worked on clustering household financial data, air-quality forecasting, and interactive data-visualization applications.

I am highly skilled in Python, SQL, and modern machine-learning libraries, and I enjoy collaborating with cross-functional teams to translate complex problems into actionable insights. Beyond technical expertise, I bring leadership experience from mentoring new team members and managing community development projects during my national service.

My goal is to join forward-thinking organizations where I can apply data science to improve decision-making, optimize operations, and create scalable AI solutions. I value continuous learning, challenging projects, and a collaborative environment where innovation is encouraged. Whether analyzing production data to increase efficiency or deploying full-stack ML solutions, I am passionate about delivering measurable results and driving growth.