Data Scientist | Data Engineer | ML & AI Engineer
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As a data science student, I have gained a strong foundation in gathering, cleaning, and organizing data, as well as advanced understanding of statistical, algebraic, and other analytical techniques. I am highly organized, motivated, and diligent with a significant background in machine learning and data engineering. Proficient in programming languages such as Python, Java, SQL, R, and JavaScript, I have hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, and Keras.
Additionally, I am familiar with cloud platforms like AWS and Azure and have experience in data warehousing and big data technologies. With strong problem-solving and analytical skills, I am committed to utilizing my skills and knowledge to design and implement efficient data pipelines, data models, and data governance processes to contribute to the success of any organization I work for.
Highly motivated and detail-oriented entry-level Data Scientist with a strong background in data engineering, data warehousing, and big data technologies. You are proficient in Python, SQL, and cloud platforms like AWS and Azure. You have hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, and Keras.
You have completed a master's degree in Data Science & Artificial Intelligence from Florida International University, with a cumulative GPA of 3.72. Additionally, you have a Bachelor of Technology in Computer Science and Engineering, with a cumulative GPA of 3.85. You have worked as a Research Assistant at CRUNCH Miami-Florida International University and a Graduate Teaching Assistant at Florida International University, where you developed a carbon-neutral and data-driven planning tool for integrated decision-making.
You have also worked as a Data Science Intern at The Sparks Foundation and have completed several data science projects. You have strong technical skills in programming languages such as Python, Java, SQL, R, and JavaScript, as well as in cloud platforms, databases, and tools & technologies such as TensorFlow, scikit-learn, NumPy, PyTorch, Analytics, OpenCV, PyCharm, pipelines, deep learning, Pandas, NumPy, SKLearn, Computer Vision, SciPy, ETL, Docker, SAS, NoSQL, and DevOps. Finally, you possess excellent soft skills in communication, problem-solving, teamwork, curiosity, storytelling, and presentation.
Data Science master's student at Florida International University (College of Engineering & Computing). He has a strong background in data engineering, data warehousing, and big data technologies. He is proficient in Python, SQL, and cloud platforms like AWS and Azure.
He has completed courses in data analysis, machine learning, data mining, artificial intelligence, database management systems, data visualization, and analysis of algorithms. He has hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, and Keras.
Nimma has a Bachelor of Technology in Computer Science and Engineering from Jawaharlal Nehru Technological University (KMIT), Hyderabad, India. He has worked as a research assistant and graduate teaching assistant at Florida International University, where he developed a digital twin system for university structures and implemented a point cloud-based system for 3D modeling. As a data science intern at The Sparks Foundation, he created data visualization graphics, optimized system and platform performance capabilities, and developed and implemented a predictive model that improved the performance of a business process.
He has worked on projects such as Vision Based Object Detection and Tracking, Stock Price Prediction and Forecasting, and Market Basket Analysis.
