I help businesses solve the right problems.

Sogolytics is a B2B SaaS platform for customer experience and survey analytics. I focused on improving onboarding and first-month customer retention.

Challenge

While customers were successfully converting from free to paid subscriptions, nearly 30% churned within their first month. The challenge wasn't acquiring customers—it was helping them discover the product's value before they lost interest.

Insight

User behaviour data revealed a clear pattern: customers who engaged with the platform's key reporting capabilities early were far more likely to remain active. However, nearly 60% of new users never reached that point during onboarding.

Solution

Redesigned the onboarding experience using realistic sample data so new customers could immediately see meaningful reports instead of spending their first session configuring the product.

Outcome

More customers reached meaningful product usage during their first session, increasing first-month retention from 70% to 85% and generating approximately $3,000 in additional monthly recurring revenue.

Lendingkart is a digital lending platform that provides working capital loans to small and medium businesses. My work focused on improving customer repayment journeys through better communication and automation.

Challenge

Roughly 1 in 3 customers missed their scheduled loan repayments, resulting in higher collection costs and lower recoveries. Although many customers intended to repay, they weren't completing payments on or before the due date.

Insight

Data revealed that many customers weren't receiving or engaging with repayment reminders before the due date. Journey analysis showed that the existing SMS and email reminders suffered from low open rates, delivery failures, and limited engagement.

Solution

Designed a multi-channel repayment reminder journey using WhatsApp, IVR voice bots, and chatbots that tailored messaging based on how close customers were to their due date. Payment links were embedded directly into communications to reduce friction and encourage timely repayments.

Outcome

Generated approximately ₹3 Cr/month in additional collections by reducing missed loan repayments from roughly 30% to 18%. More customers completed repayments on time, lowering collection costs and improving overall recovery performance.

Lendingkart is a digital lending platform that provides working capital loans to small and medium businesses. My work focused on automating internal operational workflows to make commission payouts faster and more scalable.

Challenge

Collection agency commissions were calculated manually across multiple systems, causing payout timelines to stretch to nearly two months. The delays increased operational overhead and strained relationships with agency partners.

Insight

The biggest bottleneck wasn't calculating commissions—it was managing constantly evolving commission rules. Hard-coded logic couldn't keep up with new business scenarios, forcing the accounting team to rely on manual work for exceptions and frequent rule changes.

Solution

Designed a configurable rule engine that allowed the accounting team to define, update, and manage commission rules without constant engineering support. Automated commission calculations while preserving the flexibility to adapt as business rules evolved.

Outcome

Reduced commission processing time from two months to two days, helping save approximately USD 23K (₹20L) per month in operational costs. The accounting team processed payouts significantly faster with far less manual effort.