Experienced data professional with expertise in statistical analysis, data visualization, and predictive modeling skilled in leveraging advanced analytics techniques and machine learning algorithms to extract actionable insights from complex datasets. Proficient in SQL, Python, and R programming languages, with a track record of driving business decisions and improving operational efficiency. Strong problem-solving abilities and a passion for translating data into meaningful strategies to support organizational goals. Dedicated to continuous learning and professional development in the field of data science and analytics.
Analyzed large datasets using SQL and Python to extract insights and trends. facilitating a 15% improvement in operational efficiency.
Developed predictive models to forecast customer demand, achieving a 20% increase in inventory turnover and reducing stockouts by 10%.
Created interactive dashboards in Tableau to visualize key performance metrics. leading to a 25% reduction in report generation time.
Collaborated with cross-functional teams to identify opportunities for process optimization, resulting in cost savings of $50,000 annually.
Conducted exploratory data analysis, identifying trends and outliers to guide decision-making processes.
Assisted in cleaning and preprocessing 1000+ datasets to ensure data quality and integrity for analysis.
Conducted exploratory data analysis, identifying trends and outliers to guide decision-making processes
Collaborated with senior data scientists to develop and implement machine learning models, contributing to a 20% increase in model accuracy
Contributed to the optimization of machine learning algorithms, resulting in a 15% improvement in model
performance metrics
● American Society for Engineering Management
Volunteer
Data Visualization: Created visually appealing and informative infographics to present key conference data such as event's impact, success metrics, and attendee feedback.