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Dedicated IT professional with over 3+ years of experience as a Machine Learning Engineer, skilled in leveraging large structured and unstructured datasets to design and develop end-to-end solutions, particularly in IoT verticals. Adept at creating innovative technologies, I am driven by the challenges of translating complex real-world problems into tangible, high-impact results.

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.

Data Scientist with 5+ years of experience delivering end-to-end AI/ML solutions across healthcare, financial services, and ed-tech domains. Skilled in cloud-native model development (AWS, Azure), MLOps, NLP, and statistical analysis. Proven ability to deploy scalable machine learning pipelines, automate workflows, and drive data-driven decision-making using advanced analytics and agile methodologies.

Experienced AI Engineer and Data Scientist with a robust background in developing and implementing advanced machine learning models and AI-driven solutions. Proven track record in leading multiple projects, including the development of intelligent trading bots, autonomous drone systems, and innovative reinforcement learning applications. Demonstrated expertise in fine-tuning models, collecting and curating large datasets, and integrating AI technologies into diverse platforms. Strong collaborative skills with a history of working with cross-functional teams to deliver high-impact results. Passionate about leveraging AI to solve complex problems and drive technological advancements.


  Over 4 years of professional experience in Data Science and Data Analytics, specializing in Artificial Intelligence, Deep Learning, Machine Learning, Data Mining, and Statistical Analysis.
  Proficient in advanced analytics techniques, including machine learning, deep learning, and natural language processing, for solving complex business challenges.
  Skilled in data acquisition, cleaning, and transformation, utilizing data manipulation libraries such as Pandas, NumPy, and SQL.
  Experienced in the full data science project lifecycle, including data extraction, cleaning, statistical modeling, and visualization with large structured and unstructured datasets.
  Demonstrated expertise in building and fine-tuning machine learning models for regression, classification, and clustering, using ScikitLearn, TensorFlow, and PyTorch.
  Proficient in applying NLP techniques for sentiment analysis and extracting insights from unstructured text data to improve decision-making processes.
  Created compelling data visualizations and dashboards using Matplotlib, Tableau, and Power BI to effectively convey insights.
  Familiar with big data technologies such as Hadoop, Spark, and AWS services for efficient handling and analysis of large-scale datasets.


Nolan Julian Cardozo

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Data Scientist

Research Intern

Data Analyst

Education

MSc - Data Science

Post Graduate Diploma - Data Science

Bachelor of Engineering - Computer Science

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Data Scientist

Research Intern

Data Analyst

MSc - Data Science

Post Graduate Diploma - Data Science

Bachelor of Engineering - Computer Science

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