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Adel Khalid

Development
Texas, United States

Skills

Machine Learning (ML)

About

Adel Khalid's skills align with IT R&D Professionals (Information and Communication Technology). Adel also has skills associated with System Developers and Analysts (Information and Communication Technology). Adel Khalid has 8 years of work experience.
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Work Experience

Sr Data Scientist Enara Health- USA

January 2018 - December 2020
  • * Lead data science initiatives, focusing on statistical analysis and predictive modeling to drive business decisions and strategies. * Develop and implement advanced statistical models and algorithms using R and Python to analyze complex datasets, uncovering key insights and trends. * Collaborate with business teams to understand their analytical needs, translating complex data into actionable business insights through clear and concise reporting. * Design and conduct A/B testing experiments to evaluate the effectiveness of different strategies and models. * Utilize SQL and NoSQL databases for efficient data extraction, transformation, and loading (ETL) processes. * Oversee the creation of data visualization dashboards using tools like Tableau and Power BI, providing stakeholders with real-time, data-driven insights. * Ensure data quality and integrity by implementing rigorous validation and testing procedures.

Machine Learnning Engineer Fund

January 2016 - December 2018
  • * Lead the development and deployment of machine learning models, with a focus on computer vision and deep learning, using TensorFlow and PyTorch. * Manage the entire machine learning lifecycle, including data preprocessing, model training, fine-tuning, evaluation, and deployment. * Implement computer vision algorithms for image and video analysis, enhancing the company's capabilities in automated image recognition and processing. * Collaborate with software engineering teams to integrate machine learning models into production systems, using tools like Docker and Kubernetes for deployment. * Utilize cloud platforms such as AWS and Google Cloud for scalable machine learning model training and deployment. * Conduct advanced research on the latest machine learning techniques and algorithms, applying them to improve existing models and develop new solutions. * Oversee the performance monitoring of deployed models, ensuring they maintain high accuracy and efficiency in real-world applications.

Senior ML Engineer

OHRG
January 2020 - Present
  • * Led the integration of Large Language Models into the company's product suite, enhancing natural language understanding and generation capabilities. * Managed large datasets and utilized big data technologies, focusing on the preprocessing and fine-tuning of LLMs for specific business applications. * Collaborated with cross-functional teams to ensure seamless integration of LLMs into various business processes, including customer service automation and content generation. * Mentored junior data scientists in the nuances of LLMs, promoting a culture of innovation and continuous learning. * Impact: Revolutionized customer interaction models using LLMs, leading to a 40% increase in customer engagement and satisfaction.