Experience
5+ Years
Conversion tracking, analytics, and marketing infrastructure.
Asad Chowdhury
Full Stack Marketing Engineer
I build full-stack systems that help SaaS and eCommerce teams track user behavior, fix attribution gaps, automate marketing data flows, and turn analytics into revenue decisions.
Specialized in full-stack development, tracking infrastructure, attribution systems, and SaaS growth analytics.

Experience
5+ Years
Conversion tracking, analytics, and marketing infrastructure.
Freelance Proof
100% Job Success
Strong delivery record on Upwork.
Business Types
SaaS + eCommerce
Experience across SaaS, Shopify, agencies, and lead generation.
Core Tracking Stack
DataLayer injection | GTM | CAPI | Marketing/Analytics End-points
Client-side, server-side, and CRM-connected tracking systems.
Core Development Stack
Next.js | React | JS | Node.js | Express | MongoDB
Client-side, server-side, and CRM-connected tracking systems.
Client Proof
Selected client brands and businesses connected through tracking, attribution, reporting, and marketing data work.
Positioning
Most developers can build interfaces. Most marketers can read reports. My advantage is connecting the full system: product behavior, tracking architecture, attribution, CRM data, analytics, and business outcomes.
Modern web interfaces, backend workflows, API integrations, dashboards, and automation systems using Next.js, React, Node.js, databases, and webhooks.
Event tracking systems across GA4, GTM, server-side tracking, Meta CAPI, Google Ads, UTMs, click IDs, consent mode, CRM stages, and checkout flows.
Technical implementation connected to business questions: lead quality, funnel breaks, event priority, and revenue feedback into marketing systems.
Problems
I help SaaS and eCommerce teams build reliable systems for measurement, attribution, reporting, and growth execution.
Diagnose and fix missing conversions, unreliable analytics events, cross-domain issues, checkout tracking gaps, consent-related data loss, and ad platform attribution problems.
Build data flows that connect websites, product events, CRMs, ad platforms, spreadsheets, dashboards, and reporting systems.
Help teams understand acquisition, activation, checkout behavior, lead quality, funnel drop-offs, revenue contribution, and campaign performance.
Build landing pages, dashboards, internal tools, tracking utilities, data capture systems, webhook workflows, and SaaS-style prototypes.
Selected Work
Selected projects and systems that show how I combine engineering, analytics, attribution, and growth thinking.
SaaS / Internal Tool Concept
Problem: Businesses often do not know when GTM, GA4, ad pixels, or conversion events stop working.
Solution: A monitoring system that checks whether key tracking events fire across important flows and reports issues in a dashboard.
Outcome: Shows full-stack implementation against a real marketing infrastructure problem.
Checkout
Events
eCommerce Tracking System
Problem: Shopify stores lose attribution because of checkout changes, app conflicts, consent banners, ad blockers, and incomplete dataLayer implementation.
Solution: Implemented GA4 ecommerce events, GTM tracking, Meta CAPI, Google Ads conversions, server-side tracking, and checkout-compatible event flows.
Outcome: Improved ecommerce tracking reliability and campaign reporting quality.
Marketing Data Pipeline
Problem: Lead-generation businesses qualify or close leads later inside a CRM, but ad platforms do not automatically receive those downstream signals.
Solution: Built a pipeline to send qualified and converted lead events to Meta CAPI and Google Ads using click IDs, hashed user data, timestamps, and deduplication logic.
Outcome: Connected lead quality and downstream revenue signals back to advertising platforms.
Leads
1.8k
SQL
38%
Revenue
$42k
Analytics Dashboard
Problem: Marketing teams see form submissions or purchases, but not which sources, campaigns, pages, and funnel stages drive quality outcomes.
Solution: Created a reporting structure combining conversion data, click IDs, UTMs, CRM stages, lead quality, and revenue outcomes.
Outcome: Helped teams move from raw conversion counts to better campaign and funnel decisions.
Positioning
Growth systems,
not just websites.
Next.js Portfolio
Problem: Needed a portfolio that positions Asad as a Full Stack Marketing Engineer instead of a generic developer or tracking freelancer.
Solution: Built a modern portfolio with positioning, project storytelling, technical stack, professional proof, and SaaS-focused messaging.
Outcome: Designed to attract SaaS, analytics, growth, and marketing engineering opportunities.
Stack
A technical stack shaped by full-stack development, marketing engineering, analytics infrastructure, and automation.
Experience
I have worked across tracking, attribution, automation, analytics QA, and reporting systems for companies that depend on clean growth data.
Employer Signal
Engineering judgment plus marketing data context.
Useful for SaaS teams that need product events, attribution, CRM stages, dashboards, and ad platform signals to work as one system.

Digital Recipe
Achievement
Built reliable campaign measurement systems across GA4, GTM, Meta CAPI, Google Ads, CRM events, and offline conversion workflows.
Worked as a Conversion Tracking Expert delivering advanced analytics, attribution, and server-side tracking solutions for marketing and lead-generation campaigns.

Conversio
Achievement
Improved marketing data quality by pairing tracking implementation with reporting QA, funnel analysis, and dashboard-ready event structures.
Provided conversion tracking, analytics implementation, and reporting support for eCommerce and performance marketing clients.

Debutify
Achievement
Led Shopify-focused analytics and attribution work for a growth-driven eCommerce SaaS environment, connecting checkout behavior to ad platform optimization.
Led conversion tracking and analytics initiatives focused on Shopify eCommerce tracking, attribution, and marketing performance optimization.

Quick Evolve
Achievement
Helped agency clients turn fragmented lead-generation tracking into cleaner conversion signals, reporting flows, and campaign measurement systems.
Delivered tracking and analytics solutions for agency clients focused on lead generation, attribution, and campaign measurement.

Bytes 2 Insights
Achievement
Designed automation and analytics pipelines that connected CRM activity, ad platforms, reporting dashboards, and technical QA into scalable growth operations.
Responsible for designing marketing data collection systems, automation workflows, and reporting pipelines for major clients, ensuring accurate attribution, reliable analytics, and scalable data operations.
Operating Model
Good tracking is not just about firing tags. It is about designing a reliable system that connects user behavior, marketing spend, CRM stages, and revenue outcomes.
01
A visitor may come from an ad, browse the site, submit a form, enter a CRM, and convert days later. If the tracking architecture does not preserve IDs, UTMs, user data, and lifecycle stages, the business loses visibility.
02
Not every event deserves the same priority. I focus on events that help teams understand acquisition, activation, qualification, conversion, revenue, and retention.
03
Dashboards are only useful when the data pipeline is clean. I care about how data is captured, stored, enriched, sent, and reported across tools.
Target Roles
I am best aligned with teams that need someone who can understand the product, implement tracking correctly, connect analytics systems, and build tools that support growth.
Why Hire Me
My strongest value is not just writing code. It is building systems that connect product behavior, marketing performance, analytics, and business outcomes.
I am a technical marketing and full-stack development professional with over five years of experience helping businesses measure, debug, and improve their customer acquisition systems.
My background started in conversion tracking, analytics implementation, and marketing data infrastructure. Over time, I expanded into full-stack development because I wanted to build the systems behind the tracking, not just configure tools after the product was already built.
Today, I understand how SaaS and eCommerce businesses acquire users, how attribution breaks, how tracking data flows from frontend events to ad platforms and CRMs, and how teams use that data to make revenue decisions.
Contact
I am open to mid-level roles where I can combine full-stack development, tracking infrastructure, analytics, and growth systems for SaaS or eCommerce teams.