Data Analyst
Current• Collaborated with cross-functional teams to gather and understand data requirements, ensuring alignment with business objectives.• Performed data collection, data cleaning, and data preprocessing tasks to prepare raw datasets for analysis.• Utilized SQL and Python to query and extract data from relational databases, APIs, and external sources.• Conducted exploratory data analysis (EDA) to identify patterns, trends, and outliers, providing valuable insights to stakeholders.• Employed data visualization tools such as Matplotlib and Seaborn to create informative charts, graphs, and dashboards for data presentation.• Assisted in developing and maintaining automated data pipelines, improving data retrieval and processing efficiency.• Conducted statistical analyses, including hypothesis testing and regression modeling, to derive actionable insights.• Collaborated with senior data analysts to validate and fine-tune machine learning models for predictive analytics.• Supported data-driven decision-making by generating regular reports and data summaries for management and teams.• Continuously enhanced data analysis skills through self-study and training programs, staying up-to-date with industry best practices and emerging technologies
