Detail-oriented data analyst with a strong background in statistical analysis, data visualization, and data-driven decision-making.
•Proficient in using tools like Python, R, SQL, and data visualization software to extra…
Detail-oriented data analyst with a strong background in statistical analysis, data visualization, and data-driven decision-making.
•Proficient in using tools like Python, R, SQL, and data visualization software to extract actionable insights from complex datasets.
•Experienced in creating and maintaining data pipelines and dashboards that have improved operational efficiency and decision-making processes.
Collaborated with interdisciplinary teams to integrate real-time traffic data streams into the forecasting framework, resulting in a 25% increase in the responsiveness and adaptability of traffic management systems within the smart city infrastructure.
Orchestrated a data science initiative focused on Smart City Traffic Forecasting, resulting in a 20% improvement in traffic prediction accuracy compared to traditional forecasting methods, achieved through the implementation of advanced machine learning algorithms.
Leveraged Google Cloud Platform (GCP) services such as BigQuery, Dataflow, and TensorFlow to analyze large datasets and develop machine learning models for predictive analytics.
Developed custom machine learning models in TensorFlow/Keras to address specific business objectives, achieving an 91% improvement in accuracy compared to baseline models.
Implemented end-to-end machine learning pipelines using Google AI Platform, encompassing data preprocessing, feature engineering, model training, evaluation, and deployment.
Designed and implemented Alteryx workflows to automate data cleaning, blending, and preprocessing tasks, reducing manual effort by 80%.
Proficient in utilizing Alteryx Designer for data parsing, transformation, and validation to ensure data integrity and accuracy for analysis.
Developed complex Alteryx macros to streamline repetitive tasks and enhance workflow efficiency, resulting in a 70% reduction in processing time.
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