Muhammad Raahim Aziz Data Scientist
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Passionate Data Scientist with hands-on experience in building and deploying machine learning models like Linear Regression, Random Forest, SVM, and KNN, as well as deep learning models such as Neural Networks, CNNs, and RNNs. Skilled in transforming data into actionable insights and automating processes for real-time solutions. Committed to helping students unlock the power of data with practical knowledge and industry-relevant tools.
I am a dedicated Data Scientist with expertise in developing and deploying machine learning models such as Linear Regression, Random Forest, SVM, KNN, and advanced deep learning models like Neural Networks, CNNs, and RNNs. With practical experience, I specialize in building predictive systems and delivering data-driven solutions that address real-world challenges. I enjoy guiding students through the fundamentals of data science, machine learning, and AI, ensuring they gain hands-on experience with industry-relevant tools and techniques. My focus is to make complex concepts simple, practical, and actionable for aspiring data professionals.
I am a dedicated Data Scientist with expertise in developing and deploying machine learning models such as Linear Regression, Random Forest, SVM, KNN, and advanced deep learning models like Neural Networks, CNNs, and RNNs. With practical experience, I specialize in building predictive systems and delivering data-driven solutions that address real-world challenges. I enjoy guiding students through the fundamentals of data science, machine learning, and AI, ensuring they gain hands-on experience with industry-relevant tools and techniques. My focus is to make complex concepts simple, practical, and actionable for aspiring data professionals.

Subjects

  • Statistical Analysis Beginner-Expert

  • Data Science and Machine Learning Beginner-Expert

  • R & Python Beginner-Expert

  • GIS and Remote Sensing Beginner-Expert

  • Data analytics and visualization Beginner-Expert

Experience

  • Junior Data Scientist (Jul, 2024–Present) at Data tech solution Faisalabad
    As a Junior Data Scientist at Data Tech Solutions, I focused on developing and deploying machine learning and deep learning models to solve complex business problems. I worked with algorithms such as Linear Regression, Logistic Regression, Random Forest, Support Vector Machines (SVM), and K-Nearest Neighbors (KNN) for predictive tasks. Additionally, I implemented Neural Networks, CNNs, and RNNs for advanced deep learning solutions. My role included fine-tuning models through hyperparameter optimization and ensuring scalable deployment. I also collaborated on building real-time dashboards using Python and Power BI, helping the team make data-driven decisions. Through hands-on projects, I gained experience in automating workflows and supporting ETL processes to enhance the efficiency of machine learning pipelines.

Education

  • Data Science & Analytics (Jan, 2024–Jun, 2024) from Data Tech Solutions Faisalabad–scored 95%
  • BSCS (Sep, 2020–May, 2024) from University of Agriculture, Faisalabad–scored 3.17

Fee details

    Rs1,500–5,000/hour (US$5.38–17.94/hour)

    It depends on the complexity of task.

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