Data Analyst
CurrentAnalyzed data trends and created visualizations for management review.Evaluated large datasets to identify trends and develop actionable insights.Extracted key observations and insights from internal and external data sources to drive decision-making.Performed statistical analysis of large datasets using advanced techniques such as linear regression and predictive modeling.Implemented machine learning algorithms to improve accuracy of predictions and forecasts.Performed exploratory data analysis, data cleansing, feature engineering, and model validation.Utilized statistical methods such as linear regression, logistic regression, random forests, and decision trees to develop predictive models.Analyzed large datasets using Python and SQL to identify trends and patterns.Created predictive models and machine learning algorithms for forecasting customer behavior.Created REST APIs for the integration of multiple applications within the organization's system architecture.Maintained version control systems like Git and GitHub for tracking changes in codebase over time.Designed and implemented data-driven models for predictive analytics, utilizing a variety of algorithms including linear regression and logistic regression.Integrated AI and ML models into production environment using Flask and other web frameworks.Tested, validated and reformulated models to deliver accurate prediction of outcomes of interest.
