Machine Learning Data Science
Resume:
Houston, TX
Jul **** Current
Wilmington, DE, DE
May 2024
Ikechukwu Maduka
Professional Summary
Results-driven Data Scientist with experience in leveraging data analysis, machine learning, and deep learning to drive optimization and innovation in manufacturing processes, product development, and quality assurance. Skilled in building and deploying data science applications for visual inspection, predictive maintenance, anomaly detection, and root cause analysis. Proficient in data engineering and statistical modeling, with strong collaboration skills to communicate results aligned with business objectives.
Accomplishments
Projects:
Predictive Maintenance Model for Manufacturing Equipment Developed and deployed a predictive maintenance model using deep learning and anomaly detection, successfully reducing downtime and maintenance costs by 25% in semiconductor manufacturing industry.
Visual Inspection System Using Computer Vision
Built a visual inspection application utilizing image analytics and deep learning to classify and detect product defects, improving quality control accuracy by 15% skin care packaging industry. NLP Root Cause Analysis Tool
Designed an NLP-based tool for root cause analysis, enabling real-time insights into manufacturing issues, which decreased troubleshooting time by 10% specially applied in semiconductor manufacturing industry.
Work Experience
Bentaub Hospital-psychiatrist
Assistant Data Analyst
Analyzed and optimized manufacturing processes through database mining, resulting in enhanced product performance, quality, and streamlined development cycles. Developed data science applications for visual inspection, classification, anomaly detection, and predictive maintenance using machine learning and deep learning techniques in house health care resources.
Led the full data modeling and algorithm development cycle from initial modeling to deployment and maintenance of machine learning services for hospital organizational optimizations. Researched and applied innovative statistical and machine learning methods to enhance manufacturing processes, contributing to significant product performance improvements. Collaborated with business teams, delivering insights and project results aligned with customer value and business goals.
Evaluated data sources and gathering methods for effectiveness and accuracy, enhancing data reliability and analysis precision.
Education
College De Paris Course Data Science (Online)
Master of Science: Data Science
Skills
Programming Languages: Python, R,
SQL
Machine Learning & Deep Learning:
TensorFlow, PyTorch, scikit-learn, Keras
Data Engineering: Databricks, Spark,
Dataflow, distributed storage
Data Science Tools: DevOps
environment
Analytical Skills: Statistical modeling,
anomaly detection, image analytics, NLP,
predictive maintenance, Recurrent Neural
Networks (RNNs)
Other: Experience with streaming data
solutions, strong problem-solving skills,
effective communicator
Houston, TX 77082
*******@*****.***
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