I'm data scientist with 2 years of experience in the field of data analysis and machine learning. I have Bachelor's degree in Electrical & Electronic Engineering from a reputable university and passionate about solving complex problems using data-driven approaches.
During my tenure as a data scientist, I have worked with various industries such as Logistics, Production, and tax. I have extensive experience in data cleaning, data visualization, and statistical modeling using programming languages like Python.
I have also worked on several projects involving machine learning algorithms such as decision trees, logistic regression, and neural networks. I have used these techniques to build predictive models for various business problems such as customer segmentation, fraud detection, and demand forecasting.
In addition to technical skills, I possesses excellent communication and collaboration skills. I have worked closely with business stakeholders to understand their requirements and provide them with actionable insights. I am also an effective team player, having collaborated with cross-functional teams to deliver successful projects.
I am constantly upgrading my skills by keeping up with the latest trends in the industry. I am committed to using my expertise to drive business value through data-driven decision making.