Sheethal is an aspiring data scientist passionate about using advanced analytical methods to derive meaningful business insights and support informed decision-making. She is currently pursuing a Master’s degree in Analytics at Columbia University and is actively seeking an internship opportunity, regardless of location.
Through her graduate studies, Sheethal has established a solid foundation in data science, with expertise in programming languages such as Python, R, C++, Java, SQL, and NoSQL. Additionally, she is skilled in utilizing various tools, including Tableau, Power BI, RStudio, Jira, AWS, SAP, and the Microsoft Office Suite. She is proficient in machine learning, data preprocessing, statistical modeling, data mining, and data visualization, which empower her to extract actionable insights and address complex business challenges effectively.
Transitioning from her previous position as an SAP Business Analyst, Sheethal brings over five years of experience in the logistics industry, leading SAP projects across global clients such as PerkinElmer, GlaxoSmithKline, Allergan, and Chevron USA. In her prior role, she successfully led cross-functional teams, enhanced sales reporting, and optimized various business processes. Her strong business acumen and expertise in process improvement, stakeholder management, and data-driven decision-making enable her to bridge the gap between technical analysis and strategic business goals. This unique blend of technical and business skills makes Sheethal a versatile and valuable asset to any data science team.
If you or someone in your network is offering internship opportunities in data science or analytics for summer 2025, please contact Sheethal directly at heabelsheethal@gmail.com