Pathao Food - Growth, Discovery & Platform at Scale

Owned the full product surface of Pathao Food as APM - from funnel conversion and personalisation to search, monetisation, merchant platform, payments, and city expansion. Ran a sustained experimentation programme across 8 product pillars, moving metrics across the entire user and partner lifecycle.
+28%
CVR lift
+22%
Search-to-order CR
+18%
Personalised CTR
+60%
Organic impressions
98%
Payment success

Pathao Food Dish Data Cleaning - Building the AI Foundation

Designed a two-layer food taxonomy (Cuisine + Dish), cleaned 100K+ menu items, and built the structured data layer that unlocks personalisation, intent-aware search, and AI-powered discovery at Pathao Food.
100K+
Items classified
6+
AI features unlocked
0%
New unclassified items post-enforcement

Picks For You - Personalised Restaurant Recommendation Engine

Replaced a one-size-fits-all homepage carousel with a personalised recommendation engine - blending user taste profiles, lookalike modelling, and diversity rules to surface the right restaurant for each user, every session.
↑ CTR
Collection click-through
↑ CVR
Carousel tap → order
V1→V2
Phased delivery

Personalised Restaurant Ranking Engine

Transformed static, popularity-ranked collection pages into a context-aware ranking system - sorting every restaurant collection by individual user taste profiles and meal-time signals, so the right restaurant appears first for each user.
↓ Time
Collection → checkout
↑ CTR
Top-3 ranked positions
5 slots
Meal-time profiles

Pathao Food Web - Building Pathao's first Food Ordering Web Platform

Built food.pathao.com from zero - a SEO-first web ordering platform that created Pathao's organic acquisition channel, enabled digital payments, and cut city expansion time by 60% through dynamic configuration.
+60%
Organic impressions
−60%
City launch time
0→1
New platform built

Pathao Food Pickup - Zero-Delivery-Fee Order Type

Full PRD-to-launch case study. Designed a new pickup order type from first principles - covering discovery, real-time tracking, restaurant tooling, pre-payment, no-show handling, and a multi-city GTM rollout.
+20%
Target order volume uplift
60%
Restaurant adoption target
12%
Tab view → order CVR

Search That Sells - Paid Restaurant Ranking

Pathao Food earned from commission alone. I introduced keyword-based paid tiers into search ranking - giving restaurant partners their first structured visibility product and opening a non-commission revenue stream.
+50%
Target footfall lift
2
New paid tiers
9 lvl
Ranking hierarchy

Pathao Food Search - Find It Before You Finish Typing

Search had no guidance while users typed - typos, ambiguous queries, and an unknown catalogue were costing us orders. I designed real-time auto-suggestions ranked by cuisine, dish, and restaurant using a city-wise popularity index.
3
Suggestion types
2
Delivery phases
4
Popularity signals

Biniyog Paper Trading - Risk Free Trade Simulator

Biniyog's paper trading feature from zero, giving thousands of retail investors a consequence-free environment to learn stock trading with real market data, before ever risking a single taka.
Activation
Free → real-account conversion
2modes
Virtual Simulation + Virtual Portfolio - distinct use cases

Biniyog Company Analysis

Biniyog's three-layer stock intelligence engine: fundamental ranking, technical analysis, and AI-driven sentiment analysis, giving retail investors professional-grade insights for every company on the Dhaka Stock Exchange.
350+ companies
DSE companies covered across all three layers
50+ indicators
Technical indicators across 5 categories
Retention
Session depth and weekly active user uplift post-launch

AI Company Recommendation

An AI-powered investment decision engine built on Biniyog's analytical data, providing personalized BUY/HOLD/SELL recommendations, multi-method target price estimates, risk assessments, and automated watch alerts for all DSE-listed companies.
350+ companies
DSE companies covered with daily recommendations
4 methods
Target price calculation - P/E, Technical, Fair Value, DCF
All metrics
Feature drove meaningful gains across engagement and retention

AI Stakeholder Feedback

AI stakeholder personas simulate realistic review feedback on the design canvas, surfacing objections, questions, and blind spots before stakeholder meetings.
3 types
Feedback designed for immediate action, users addressed at least one issue per run
4 personas
Skeptical CTO · Confused User · Demanding Client · Board Member
Retention
Users who ran Stakeholder Feedback showed measurably higher weekly return rates

Psychographic Clustering - Beyond Behavioral Data

Pathao's research initiative to build a personality-driven intelligence layer, designing VALS-based psychographic segmentation from scratch using employee pilots, gamified surveys, and clustering algorithms to unlock what behavioral data alone never could.
6 clusters
VALS-derived psychographic segments
3 phases
Employee pilot → Internal validation → App-scale rollout

Behavioural Discovery - Time-Slot Modelling

Shifted discovery from static catalogues to a behavioural ranking engine using 6-month time-slot models, boosting personalised CTR by 18% and increasing engagement 15%+.
+18%
Personalised CTR
+15%
Engagement

Activation & Monetisation for an AI Design Tool In Progress

Leading growth PM work at UX Pilot - mapping the activation funnel, running cohort analyses, and identifying the moments where users discover real value before hitting a paywall.
~
Active · 2026

Merchant Platform - POS Integration & Scalability

Cut restaurant onboarding time by 35% through standardised POS API integration, rebuilt ACL and multi-branch management, and re-architected menu systems reducing configuration issues by 25%.
−35%
Onboarding time
−90%
Unauthorised access

Biniyog.com.bd - Bangladesh's All-in-One Retail Investment Platform

Sole PM on a 0→1 FinTech build covering DSE stock trading, IPO management, portfolio analytics, bank schemes, Sanchayapatra, and tax tools. Scaled to 500K+ active users with 99% uptime across a 3-year lifecycle.
500K+
Active users
+30%
User engagement
99%
Platform uptime

Algorithmic Trading

How I sequenced risk management before automation and rejected a single-indicator strategy for 500K+ retail investors
34%
Of active traders adopted conditional orders within 60 days
68%
Win rate with signal fusion vs. 42% with single-indicator

MyClassroom.online - Next-Gen LMS for K-12 to Corporate

Owned the full product lifecycle of a multi-stakeholder LMS serving students, teachers, parents, and institutions. Built virtual classrooms, automated exam engine, analytics, and admin tools - from BD to Australia.
4
User personas served
3
Segments: K-12, Uni, Corp

Experiments to improve food search

A structured programme of search improvements at Pathao Food - Bangladesh’s largest food delivery platform. Six experiments designed to close the gap between what users type and what makes them order: typo correction, personalisation signals, smart ranking, and deal visibility.
6 experiments
Scoped and spec’d end-to-end
3 signals
Personalisation layers built into ranking

CLM Engine: Reactivating a 3.9M-User Base

Customer Lifecycle Management program built on RFM (Recency, Frequency, Monetary) scoring, a 28-segment customer matrix, and a budget-governed, always-on reactivation engine.
28 segments
7 value tiers × 4 recency cohorts
83%
of the users in the lowest-value, most-dormant tier

An Experimentation Engine

Pathao Food Conversion Experimentation Program: Funnel Friction Diagnostics, Two-Track Experimentation Portfolio (A/B Tests & No-Dependency Quick Wins), and Search Ranking Scoring Framework for Repeatable Conversion Growth
35+ ideas
Experiments scoped across the order funnel and search ranking
5 stages
End-to-end experimentation lifecycle designed and owned

Food Home Experiments - Building a Test-and-Learn Engine for Discovery

Experiment testing program for Pathao Food's home surface - shifting how millions of users discover restaurants from search-dependent to browse-driven
12 experiments
Prioritized experiments
+38% CVR
Relative lift in Collection Conversion Rate, flagship test

NAMA OS PM Product Review

An end-to-end product manager review of NAMA - an AI-native travel operating system for DMCs, tour operators, and travel agencies. I mapped friction points, trust gaps, and conversion blockers across 12 product surfaces, from landing page to post-onboarding dashboard, and prioritised recommendations by business impact.
12 surfaces
Product areas audited end-to-end
30+ issues
Friction points, trust gaps, and conversion blockers identified

Puffy: CRO Case Study

An independent conversion-rate audit of Puffy.com, diagnosing why a feature-led landing page misses two of its highest-intent buyer moments, and specifying two evidence-backed A/B tests, each modeled against a real revenue bar, to close the gap.
21–31%
Projected relative CVR uplift
$4.2M+
Annual incremental revenue projected
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