Introduction to Me

Hello everyone, I am originally from India. I am a detail-oriented professional with 2 years of experience in data analytics, currently pursuing a Master’s in Business Analytics at the University of Cincinnati. I serve as a Graduate Assistant at the Center for Business Analytics, where I support research and industry engagement initiatives that bridge academic insights with real-world business challenges.

Previously, I worked as a Decision Scientist at Mu Sigma Inc., contributing to high-impact projects including key driver analysis, vendor overlap identification, and customer churn prediction—empowering clients to make data-driven decisions. I hold a Bachelor’s degree in Engineering with a GPA of 8.51 and bring hands-on expertise in tools such as Python, SQL, Tableau, Power BI, and Alation for data cataloging.

I have also co-authored a published research paper on AI-based healthcare chatbots and am actively involved in extracurricular activities, including basketball and taekwondo, reflecting my collaborative spirit and discipline.

Academic Background

Activities and societies: I achieved first place in an idea presentation competition, showcasing my creativity and ability to communicate innovative solutions effectively. In addition to this accomplishment, I was an active member of the Nature Watch Club, where I developed a passion for environmental conservation and participated in various outdoor activities. I also played basketball at the college level, where I honed my teamwork, leadership, and athletic skills.

Professional background

During my two years as a Decision Scientist at Mu Sigma, I worked on diverse analytics and machine learning projects that delivered measurable business impact across multiple clients. I developed and deployed predictive models that improved customer churn prediction accuracy by 18%, enabling proactive retention strategies that reduced attrition risk by 15%. For AbbVie, I automated driver analysis to identify key KPI influencers, built Tableau dashboards to streamline vendor overlap analysis and optimize multi-million-dollar negotiations, and created a centralized feature store in Alation that enhanced cross-team collaboration.

Additionally, I conducted exploratory and statistical analyses on Microsoft Teams performance data, reducing diagnostic time by 35% and improving user satisfaction by 15%. Through these initiatives, I gained strong expertise in advanced analytics, automation, and data visualization, consistently driving efficiency and strategic decision-making.

Experience with R

I’m just getting started with R(Beginner level) and have a basic grasp of the core concepts.

Experience on analytical tools

Hands-on expertise in Python, SQL, Tableau, Power BI, and Alation for data cataloging. Skilled in leveraging tools for data analysis, visualization, and governance.