Manali Suryawanshi

I recently completed my Master’s in Business Analytics from the University of New Haven, building on over three years of experience in data analysis, business intelligence, and quality assurance. Throughout my academic and professional journey, I’ve developed strong skills in SQL, Python, Tableau, and Power BI, and applied them across a range of projects—from automating ETL workflows and designing interactive dashboards to building predictive models and uncovering key business insights. I’ve worked across education, public health, and corporate sectors, contributing to data-driven decision-making and operational improvements. My combined background in analytics and quality engineering enables me to bridge the gap between data and strategy effectively.

I have over three years of professional experience spanning data analytics, business intelligence, and quality assurance. I’ve worked as a Data Analyst Intern at Elevate Charter Schools, where I automated data collection, built real-time dashboards, and managed ETL processes using SQL, Python, and AWS. At the University of New Haven, I supported public health research by cleaning and analyzing large datasets using R. During my capstone with Allianz, I applied machine learning techniques to segment customers and predict policy conversion, presenting strategic recommendations through Power BI dashboards. Earlier, I worked at LTIMindtree as a Quality Engineer, where I developed automation frameworks, led API/UI testing, and supported healthcare data validation. I also held a Business Analyst role at Pixel Web Works, focusing on data processing, dashboard development, and revenue trend analysis. Across all roles, I’ve consistently delivered data-driven solutions that support decision-making and operational efficiency.

I hold a Master of Science in Business Analytics from the University of New Haven. During my program, I gained hands-on experience with data analysis, statistical modeling, data visualization, and predictive analytics using tools like Python, R, SQL, Tableau, and Power BI. The coursework and projects, including a capstone with Allianz, equipped me with the skills to translate complex data into actionable business insights and make data-driven decisions across various domains.