Skills
Data analysis, Statistical modeling, Machine learning, Big Data technologies, Data visualization, Python, R, SQL, TensorFlow, Keras, Scikit-learn, Hadoop, Spark
About
As a Data Scientist with over 7 years of experience at Google, I have a strong technical background in data analysis and statistical modeling. I am highly skilled in using machine learning algorithms to analyze and process large datasets and possess extensive experience in using big data technologies such as Hadoop and Spark to efficiently manage and process large volumes of data.
I have experience developing and implementing machine learning models using frameworks such as TensorFlow, Keras, and Scikit-learn. I am proficient in data visualization and have experience creating visualizations and dashboards to communicate insights to both technical and non-technical stakeholders.
During my time at Google, I have worked on various projects, including developing and implementing predictive models for various applications, analyzing and processing large datasets to gain insights into user behavior and preferences, and developing automated systems for data processing and analysis.
I possess strong problem-solving skills and am able to quickly identify and resolve technical issues. I am dedicated to staying up-to-date with emerging technologies and industry trends and have experience implementing new technologies to improve data analysis and processing.
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