Experienced professional with a strong foundation in data science, data analysis, and machine learning. Skilled in leveraging data to drive insights, inform decision-making, and develop predictive models. Proficient in a variety of tools and techniques, including statistical analysis, data visualization, and machine learning algorithms. Adept at managing end-to-end data projects, from data cleaning and preparation to advanced analysis and reporting. With a background in data analyst and team coordination, I have a deep understanding of the data lifecycle and its critical role in machine learning. My ability to manage teams and ensure high-quality data labeling and data analysis has contributed to successful project outcomes. Eager to apply my analytical skills and experience to solve complex problems and contribute to innovative data-driven solutions. Technical Skills: Programming Languages: Python, R Machine Learning: Regression, Classification, Clustering, Feature Engineering Data Analysis: Statistical Analysis, Exploratory Data Analysis (EDA), Data Cleaning Visualization Tools: Tableau, Power BI, Matplotlib, Seaborn Databases: SQL, NoSQL I am enthusiastic about continuous learning and staying updated with advancements in data science and AI technologies.