

Data Scientist and Microsoft Power BI certified associate with over 8 years of experience applying advanced data analysis techniques, machine learning, and statistical methods to solve complex problems. Skilled in developing robust solutions using Cloud Computing, Excel/VBA, SQL, R, and Python tools. Adept in working with Power BI and Tableau for visualization and reporting. Experienced at leveraging data insights to drive decision-making and innovation in fast-paced environments while maintaining professionalism, integrity, and confidentiality.
• Demonstrate proficiency in managing large datasets and ETL processes to streamline analytics workflows.
• Utilized Python and R for Exploratory Data Analysis, feature engineering, and predictive modeling.
• Conducted statistical data analysis and regression modeling to identify trends and patterns.
• Built advanced data visualizations using Power BI and Tableau to present actionable insights.
◦ Designed and implemented machine learning models for data-driven decision-making.
• Ran A/B tests to compare marketing elements and optimized campaigns for better performance.
• Used marketing metrics and key performance indicators (KPIs) to measure campaign success.
• Improved production efficiency by 20% through data-driven research to identify and mitigate hardware manufacturing defects and implement solutions.
• Applied advanced statistical and data analysis techniques to optimize manufacturing processes.
◦ Partnered with cross-functional teams to develop and validate innovative device architectures.
• Designed experiments and analyzed results using statistical tools to meet engineering specifications.
• Developed and executed data analysis algorithms using Python to process terabyte-scale experimental data.
• Conducted machine learning research to simulate natural processes and compare theoretical models with experimental data.
• Delivered presentations on findings to stakeholders, demonstrating effective communication of complex data insights.