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  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.


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.

NAME: Moses Masinya Morimbori NATIONALITY: Kenyan Willing to relocate: Anywhere Authorized to work in the US for any employer
Detailed Data Analyst Intern well-versed in various statistical methods such as descriptive and influential statistics. Independent and versatile individual skillful in identifying data issues and monitoring existing metrics. Offering 5 years of experience collecting data, establishing facts and drawing valid conclusions. Proficient in python paired with first-rate report writing abilities. Data Scientist familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical, algebraic and other analytical techniques. Highly organized, motivated and diligent with significant background in Statistical Modelling.

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 decade of expertise in deep learning, computer vision, and advanced statistical analysis, specializing in image analysis and remote sensing. Proficient in Optical and SAR remote sensing, with a proven track record of leading high-impact projects such as national biodiversity mapping in the northwest Himalayas and generating forest disturbance products. Passionate about leveraging Artificial Intelligence and machine learning to drive environmental conservation efforts globally. Adept at transforming complex datasets into actionable insights using advanced analytics and predictive modeling. Known for strong programming skills, excellent communication, and the ability to solve problems effectively in collaborative team settings. Motivated by a deep commitment to sustainability and technological innovation.  

Amal MOUTAOUAJ

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Data Scientist

.NET Software Developer, Full Stack

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Master of Science - Computer Software Engineering And Web Applications

Bachelor of Science - Software Engineering And Systems Security

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Data Scientist

.NET Software Developer, Full Stack

Master of Science - Computer Software Engineering And Web Applications

Bachelor of Science - Software Engineering And Systems Security

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