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Highly motivated Data Scientist with a strong foundation in Computer Science and Engineering. Demonstrated expertise in data analysis, machine learning, and predictive modelling. Passionate about driving data-informed decision-making and contributing to cutting-edge energy trading solutions. Proven track record in developing and implementing data models, optimizing strategies, and generating actionable insights. Eager to leverage technical skills and analytical mindset to excel in a dynamic environment.

Versatile Data Scientist specializing in Deep Learning, Machine Learning, Reinforcement Learning, and MLOps. Skilled in statistical and algebraic analysis, with expertise in developing robust models and end-to-end machine learning pipelines. Highly organized and self-motivated, delivering innovative solutions to complex data challenges. Committed to advancing AI technologies and driving meaningful insights in the rapidly evolving field of data science.

I specialize in designing, building, and optimizing large-scale data architectures to drive strategic decision-making and operational efficiency. My journey has spanned diverse industries and roles, where I've leveraged advanced data analytics, big data technologies, and machine learning to tackle complex business challenges and unlock data-driven insights.

Currently, I work as a Data Scientist at JPMorgan Chase & Co., where I develop predictive models, automate resiliency testing frameworks, and build ETL pipelines that support enterprise resilience and operational continuity. My expertise spans Spark, Hadoop, Snowflake, AWS, and a range of data engineering and machine learning tools, enabling me to deliver scalable, robust, and efficient solutions.

My approach combines a strong foundation in data engineering with a passion for continuous learning and innovation. I focus on emerging technologies and best practices in data science, cloud computing, and data governance. Thriving in collaborative environments, I have a proven track record of leading projects that enhance system performance, improve data accuracy, and deliver transformative insights to support business resilience and strategic goals.

Experienced Data Scientist with a strong background in health care data. Proficient in Python, R, and cloud platforms AWS and Azure. Skilled in ML, including neural networks, regression, and clustering. Track record in financial model optimization, fraud detection, and customer analytics. Demonstrated ability to manage end-to-end project lifecycles and deliver insights from large-scale datasets, leveraging tools such as SciKit-learn, TensorFlow, and PowerBI. Seeking a challenging role in data science which leverage my expertise in machine learning, big data analytics, and financial modeling to drive business insights and innovation.

Leveraging AI, focus on enhancing efficiency and sustainability in controlled environment agriculture. From developing intelligent systems to creating realistic simulations and extracting data-driven insights, committed to contributing to a brighter future. Expertise spans the entire spectrum of AI development, from proposal writing and architecture design to deployment and successful project launches. Passionate about sharing knowledge and fostering collaboration, eagerly open to new speaking engagements.

Nkurikiyumukiza Israel

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Associate of Applied Science - Animal Science

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Conservation Assistant

Data Scientist

Associate of Applied Science - Animal Science

High School Diploma -

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