
Manvi Sehrawat
Upper Management / Consulting
About Manvi Sehrawat:
I’m a Master’s student in Big Data & Business Analytics at ESCP Business School, with a background in Business Economics and hands-on experience in data-driven problem solving, market analysis, and strategic planning. In my previous roles, I’ve used tools like Tableau, SQL, and Python to uncover insights that improved performance, optimized operations, and supported key business decisions. Whether it’s streamlining educational programs or driving digital transformation, I bring a strong analytical mindset, structured thinking, and a collaborative spirit to every project. I'm currently seeking analyst roles where I can apply my skills to real-world challenges and grow in a fast-paced, learning-driven environment.
Experience
I’ve worked across project management, strategy, and digital transformation roles in the education sector. At Career Launcher, I led initiatives that combined data analytics with growth strategy—like using A/B testing and Tableau dashboards to improve student engagement and boost revenue. I also worked in the Founder's Office at a K-12 school, where I drove digital transformation efforts that automated operations for over 2,000 stakeholders and led the school’s British Council accreditation. Alongside this, I’ve been involved in community-led sustainability initiatives, and currently, I’m pursuing my MSc in Big Data & Business Analytics at ESCP Business School to strengthen my foundation in data-driven strategy.
Education
I’m currently pursuing an MSc in Big Data & Business Analytics at ESCP Business School, with campuses in Paris and Berlin. The program combines advanced analytics, strategic decision-making, and real-world business applications—perfectly aligning with my interest in data-driven strategy consulting. Prior to this, I completed my Bachelor’s in Business Economics from the University of Delhi, where I graduated in the top 5% of my class. Together, these programs have built a strong foundation in both business strategy and quantitative analysis.
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