Looking for a job

YUVRAJ SONI

@yuvrajsoni

Message

I build product features and analytics that lift conversion and growth.

India

Message

What I'm looking for

I'm looking to build and ship data-informed product experiences, using experimentation, SQL, forecasting, and user insights to improve engagement, conversion, and growth. I'm available for US, EU, and GCC time-zone overlap.

At Wishlink, I ship marketplace features from idea to launch, including creator-led product detail experiences that lifted order conversion by 20% and recommendation surfaces that drove a 7% uplift in orders.

Previously at Meesho, I rebuilt manual support workflows with SQL automation, created operational dashboards, and developed a regression-based interaction forecasting model with 95% accuracy that reduced planning effort and manpower cost by 50%.

I've also built product and payment analytics at TealFeed, improved Appsmith query performance by 70%, and led a 0-to-1 product team at Inter IIT Tech Meet.

Experience

Work history, roles, and key accomplishments

Current

Product Analyst

Current

Wishlink

Mar 2026 - Present (6 months)

Ideated, validated, and launched Styled by Influencer on the product detail page, lifting order conversion by 20% in 2 months. Owned Similar and Trending Products end to end, driving a net 7% uplift in orders.

SQL A B Testing Product Management Recommendation Logic Data Analysis RCA Funnel Analysis Stakeholder Communication

Business Analyst

Meesho

May 2025 - Mar 2026 (10 months)

Re-engineered an 8-step manual refunds workflow into a single SQL query and built automated extracts for escalation tickets, cutting effort by 90%. Built an I/O projections model with 95% forecast accuracy, reducing planning cost by 50%.

SQL Python Regression Modeling Forecasting Data Analysis Dashboarding RCA Experimental Design Stakeholder Management

Product Analyst Intern

TealFeed

May 2024 - Jul 2024 (2 months)

Built the company's first Metabase on Redshift dashboards covering feature adoption, pro-user behavior, and payment analytics. Analyzed free-trial cohorts and ran Day 0–Day 7 retention analysis, shifting growth strategy to product-led.

Metabase Redshift SQL Retention Analysis Cohort Analysis Appsmith No Code Tools Data Visualization