- Setting the direction and vision for the company's growth and success.- Securing funding and investment to support research, development, and operations.- Attracting, hiring, and retaining top talent to build a skilled and motivated team.- Overseeing the development of new products, therapies, or technologies through preclinical and clinical stages.- Ensuring compliance with regulatory requirements and standards to obtain approvals for products.- Identifying and pursuing opportunities for collaborations, partnerships, and licensing agreements to advance the company's goals.- Managing relationships with investors, shareholders, and stakeholders to provide updates on the company's progress and performance, and address concerns or inquiries.

• Instructed a diverse range of undergraduate and graduate students in advanced statistical analysis and machine learning, covering topics such as time series analysis, Bayesian statistics, and advanced regression techniques.• Developed and delivered interactive lessons, projects, and assignments, resulting in a significant improvement in student performance and understanding, with an average increase of 20% in students' final grades.• Mentored and guided over a hundred students through complex data analysis projects, achieving a 90% success rate in students successfully applying advanced statistical techniques to solve real-world problems.

• Implemented ETL process in Microsoft SQL Server for NARS product data, conducting in-depth product path analysis. Developed targeted strategies, increasing conversion rate by 21% and sales by 30%.• Created Tableau dashboards for real-time analysis of CRM system, showcasing sales performance, geographic analysis, and sales funnel. Resulted in a 13% improvement in KPI.• Utilized Pandas and NumPy for data cleaning and preprocessing on a 60 million-row dataset. Implemented Scikit-learn for k-means clustering with 95.7% precision, resulting in a 76% increase in ROI from targeted marketing campaigns.

• Orchestrated end-to-end project: ETL process and data cleaning on a 300 million-row dataset in Google Big Query. Pioneered real- time notification system with Pandas, NumPy, and smtplib, reducing error rate by 53% and saving 20,000 working hours annually. System implemented and currently utilized by The Home Depot.• Developed 6 Tableau dashboards for quality inspection, enabling data-driven decision-making. Resulted in 27.4% reduction in defect rates and 15% increase in product conformity.• Optimized SQL queries, reducing average response time by 40% through execution plan analysis, indexing, query tuning, and caching techniques. Enhanced data retrieval and analysis efficiency.