Diesha Singh User

I’m an Engineering Management graduate building my career at the intersection of data, product adoption, and business decision-making. Through internships and academic projects, I’ve learned how to turn messy datasets into stakeholder-facing insights that drive measurable outcomes.

In my Product Adoption internship at Zwayam (Info Edge Limited), I analyzed user adoption metrics for AI-based recruitment platforms, built competitive feature comparison matrices, and identified behavioral trends that contributed to ~25% growth in active users. I also translated findings into product strategy inputs for adoption-focused initiatives.

As a Product Analytics Intern (Machine Learning) at CoffeeBeans Consulting, I worked with large-scale interaction data to uncover engagement and retention opportunities. Partnering with engineers, I evaluated recommendation model performance for a 10,000+ monthly user base, and my insight-backed requirements helped increase average session duration by 8%.

I continue to strengthen my analytics craft through hands-on projects like a Power BI “Work-from-Home Policy Analysis” dashboard (15+ visualizations) and a U.S. housing affordability & migration analysis using regression and ANOVA. I’m excited to bring my strengths in Python, SQL, Power BI, and EDA/KPI tracking to Data Analyst or Business Analyst roles in analytics-driven organizations.