* Lead systems and analytics initiatives for 10+ SMA's, focusing on ethics and compliance.* Oversee internal website development, SQL database management, and machine learning systems to enhance compliance processes.* Drive advanced reporting and visualization systems, statistical analysis tools, and Natural Language Processing (NLP) for text analytics.* Implement workflow automation tools to streamline operations and improve regulatory alignment.Provide strategic leadership in optimizing data management and decision-making processes across multiple functions.

* Managed systems and analytics for ethics and compliance, supporting 7+ SMA's.* Developed dashboards, reports, and visualizations to provide actionable insights and improve compliance.* Built automation solutions to enhance efficiency, integrating tools like machine learning and statistical analysis.* Played a key role in developing internal websites and managing data through SQL databases.Contributed to optimizing compliance workflows through text analytics and NLP solutions.

Completed a 400+ hour comprehensive online program covering core concepts of Data Analytics, including Structured Foundational Thinking, Financial, Econometric, and Statistical Analysis, Data Visualization, SQL, and Multivariate Regression Analysis in Python. Participated in weekly 1:1 mentoring sessions with industry professionals, gaining real-world insights and guidance. Successfully completed two capstone projects: "An Analysis of Air Pollutants" and "Avocado Analysis," both reviewed by independent industry experts.Capstone Projects:1. An Analysis of Air Pollutants: Conducted a comprehensive analysis of air pollution data, identifying key pollutants and their sources using Python (pandas, matplotlib, seaborn) for statistical analysis and visualization. Presented insights on the effects of these pollutants on public health and the environment. Utilized multivariate regression analysis to predict pollutant levels based on environmental factors, with visualizations to support the findings.2. Avocado Analysis: Performed a detailed price trend analysis of the avocado market, focusing on factors such as regional demand, organic vs. conventional product types, and seasonal variations. Utilized Python for data cleaning, statistical modeling, and visualization. The findings were showcased using Tableau to present trends and recommendations for stakeholders in the agricultural sector.