My professional journey spans over 12 years in the analytics domain, encompassing diverse areas such as data analysis/engineering, data science, and Artificial Intelligence. Throughout my career, I have collaborated closely with business stakeholders and leadership teams to gather requirements for data analysis, data science, and AI use case development. These collaborations have yielded tangible benefits, including reducing corrupted selling time, accurately measuring revenue, and enhancing sales performance. Additionally, I have spearheaded initiatives such as revenue forecasting, leveraging external factors like economic growth and competitor data to establish realistic sales goals. Notably, I have conducted A/B testing to optimize content on a sales education platform, benefiting over 5000 sales professionals globally. Furthermore, my expertise extends to conducting sentiment analysis using Python to extract insights from sales survey data, facilitating the development of applications and processes to address identified pain points. 

In my professional journey, I have adeptly utilized a diverse set of tools and skills, including Azure Data Factory, Databricks, PostgreSQL, Power BI, Teradata DW, SAS, Oracle, MS SQL Server, Ab Initio, Python, JavaScript, and Google Analytics. My proficiency in machine learning and predictive analytics has enabled me to develop scalable and robust models and solutions aimed at increasing revenue.