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Nabil Takiyuddin

MarTech & Analytics Manager

I connect marketing technology, digital analytics, data engineering and applied AI: CRM and automation platforms, data pipelines, BigQuery models, automated dashboards and AI-assisted workflows.

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Portrait of Nabil Takiyuddin, smiling with arms crossed, wearing glasses and a navy quarter-zip sweater

ReMotive Media · APAC

Experience
6 years
Base
Puchong, Selangor, MY
Current
ReMotive Media · APAC
Degree
Master of Data Science, UiTM

// 01 · About

From marketing operations to data engineering, analytics and AI automation.

Nabil Takiyuddin is a MarTech and Analytics Manager at ReMotive Media, based in Puchong, Selangor, Malaysia. He has 6 years of experience across marketing technology, digital analytics and data engineering, and holds a Master of Data Science from Universiti Teknologi MARA (UiTM).

My career started in sales and marketing, moved into performance marketing and web analytics, and then into the systems underneath: tagging frameworks, ETL pipelines, BigQuery warehouses, CRM architecture and lead scoring. Today I manage MarTech and analytics at ReMotive Media and build AI-assisted tools that automate reporting and content workflows.

It is an unusual path. Before data, I studied Islamic law: a Bachelor of Syariah (Fiqh wa Usul) at Yarmouk University in Jordan, then a Postgraduate Diploma in Syariah Law and Practice at Universiti Teknologi MARA. I later returned to UiTM for a Master of Data Science.

Base

Puchong, Selangor, Malaysia

Languages

  • MalayNative
  • EnglishProfessional working
  • ArabicProfessional working
  • MandarinElementary
  • HebrewElementary

  1. 01

    Marketing operations

    Sales, marketing and performance campaigns

  2. 02

    Digital analytics

    GA4, Google Tag Manager, dashboards

  3. 03

    Data engineering

    ETL pipelines, BigQuery, CRM data

  4. 04

    AI automation

    Machine learning and agentic AI workflows

// 02 · Impact

Measured outcomes.

Key achievements from six years of MarTech, analytics and data work, each attributed to the employer where it happened.

// 03 · Experience

Career data stream.

Seven roles from 2018 to today, newest first.

  1. – PresentAPAC

    MarTech and Analytics Manager

    ReMotive MediaCurrent

    • Led setup of a CRM integration for cold outreach and lead nurture, coordinating email authentication and admin approvals to take the pipeline live.
    • Own end-to-end monthly client reporting across Google Ads, SEO, and CRM/attribution; recent cycles showed +14% ROAS, +20% paid media revenue, and +58% SQLs month-over-month.
    • Identified a 35%+ month-over-month drop in organic search impressions and traced a lead-attribution gap, surfacing untagged leads tied to unaccounted revenue.
    • Built AI-assisted internal tools, including an auto-generated, brand-consistent client reporting deck and a LinkedIn content-generation workflow for the marketing team.
    • Supported evaluation of a new business vertical by assessing compliance positioning and market opportunity across Singapore and Malaysia.

    Client work

    • Toyota: “Move Your World Beat” campaign
    • DD Bricks (custom LEGO for business): Looker reporting dashboard and Pipedrive sales pipeline setup

    Internal AI tools

    • Brand-consistent, auto-generated client reporting deck
    • LinkedIn content-generation workflow
    • AI-assisted sales and outreach pipeline (Apollo-based cold outreach and lead nurture)
    • Google Ads
    • SEO
    • CRM/attribution
    • Looker
    • Pipedrive
    • Apollo
    • Agentic AI

  2. – Malaysia

    Senior Marketing Technology Specialist

    2X Marketing Sdn Bhd

    • Managed marketing operations for enterprise B2B accounts using Salesforce, Pardot (Account Engagement), HubSpot, and Demandbase.
    • Oversaw a multi-CRM contact database synced across Salesforce, HubSpot, and Microsoft Dynamics 365, monitoring data flows to keep records accurate.
    • Cleaned up 160,000+ duplicate CRM records using Insycle, improving data integrity across connected systems.
    • Built lead scoring models and automated lead lifecycle workflows in HubSpot, including inbound and outbound nurture flows that reduced manual work.
    • Developed SARIMA-based models to forecast customer lifecycle stage transitions, supporting lead scoring and campaign planning.
    • Closed real-time reporting gaps by building a custom reporting framework for campaign and lifecycle performance.
    • Created RACI matrices, SLA frameworks, and workflow documentation for go-to-market execution; mentored a junior marketing operations specialist.

    Accounts

    • Enterprise B2B accounts, including FARO Creaform
    • Salesforce
    • Pardot
    • HubSpot
    • Demandbase
    • Dynamics 365
    • Insycle
    • SARIMA

  3. – Malaysia

    Google Tagging Analytics Engineer – APAC

    Chubb Development IT Centre (Chubb Insurance)

    • Created standardized web analytics implementation frameworks and documentation, reducing implementation time by 95% across multiple markets.
    • Built ETL pipelines with PySpark and Airbyte to ingest customer journey data from Google Analytics, customer databases, and marketing platforms into central data warehouses.
    • Built executive dashboards tracking process efficiency and user journey performance to guide data-driven improvements.
    • Analyzed customer journey processes across APAC markets and redesigned workflows to improve conversion rates and user experience metrics.
    • Gathered requirements with Experience Designers, IT developers, and regional business units, and designed tracking for Single Page Applications.
    • Google Tag Manager
    • GA4
    • PySpark
    • Airbyte
    • ETL

  4. – Kuala Lumpur

    Digital Analytics Specialist

    AS White Global Sdn Bhd; Cleanaway Waste Management (Australia)

    • Automated reporting with Looker Studio (Google Data Studio) and Tableau dashboards fed by a Cloud Data Lake, reducing manual reporting by 95% and contributing 15% year-on-year to ROI.
    • Built streaming data pipelines into Google Cloud Platform using Google Cloud Dataflow, Dataproc, and Airbyte to ingest data from multiple sources.
    • Integrated GA4 with Salesforce and Google Ads to track website traffic, conversions, and ad campaigns.
    • Wrote SQL in Google BigQuery (views, stored procedures) and maintained the BigQuery data warehouse.
    • Created and maintained Google Tag Manager tags to keep website and campaign tracking accurate and consistent.
    • Looker Studio
    • Tableau
    • BigQuery
    • Dataflow
    • Dataproc
    • Airbyte
    • GA4

  5. – Kuala Lumpur

    Performance Marketer

    DoctorOnCall (Digital Health Technologies Sdn Bhd)

    • Migrated Google Analytics from GA3 (Universal Analytics) to GA4 and documented the event tracking framework and data validation process.
    • Built 15 dashboards for business units, plus 6 custom reports and 12 Explore reports in GA4 for performance monitoring.
    • Implemented Google Tag Manager conversion events for web and app, including Enhanced Ecommerce events, working with developers on backend tracking.
    • Managed Google Ads and Facebook Ads campaigns, optimizing ROAS above 10x, and integrated Hotjar and Netcore (including personalization) for web analysis.
    • GA4
    • Google Tag Manager
    • Google Ads
    • Facebook Ads
    • Hotjar
    • Netcore

  6. – Petaling Jaya

    Program Manager, R&D and Operations

    Performance Development Consultants Sdn Bhd

    • Managed training programs funded by HRD Corp and PERKESO grants and led a team of two in the Operations Division.
    • Led company digital marketing, using Google Analytics and social media data to plan and adjust marketing activity.

  7. – Subang Jaya

    Sales and Marketing Executive

    ALFA International College

    • Secured 30 student registrations through one-to-one consultations and guided PTPTN loan applications.

// 04 · Case studies

Featured case studies.

Five projects from the Master of Data Science at UiTM, written up as problem, approach, results, tools and team.

  1. CS-01DSC790 · Master's dissertation

    Machine Learning-Based Sentiment Analysis for an Intelligent Decision Support System in Malaysian Kopi F&B SMEs

    A Master of Data Science dissertation that classifies sentiment in 1,000+ code-switched Malay-English customer reviews (Kopi Kenangan case study) and turns the results into a Streamlit decision-support app with an LLM business-analyst agent.

    • Python
    • Streamlit
    • Hugging Face
    • Qwen 2.5 7B
    • SMOTE
    • Logistic Regression

    Headline result

    ≈92.5%

    accuracy, Logistic Regression + SMOTE

    Open case study

// 05 · More projects

More coursework projects.

Ten more projects from the Master of Data Science. Filter by discipline.

Showing 10 of 10 projects.

  • P-01

    • ML

    Customer churn propensity analysis

    DSC721 Enterprise Data Analytics · Individual

    Churn propensity modelling for an e-commerce case, following the CRISP-DM process in KNIME with a Random Forest model.

    • KNIME
    • CRISP-DM
    • Random Forest

  • P-02

    • ML

    Mr DIY campaign-response model

    DSC721 Enterprise Data Analytics · Individual

    A campaign-response model for a customer-acquisition sales package, comparing Random Forest, XGBoost and one other model in KNIME.

    • KNIME
    • Random Forest
    • XGBoost

  • P-03

    • ML
    • Statistics

    Air quality classification

    STA761 Statistical Data Mining · Individual

    Classified air quality in KNIME using SMOTE with Decision Tree, Random Forest, SVM and XGBoost. XGBoost was judged the most realistic model.

    ResultXGBoost 74.7%

    • KNIME
    • SMOTE
    • XGBoost
    • SVM

  • P-04

    • Statistics

    TB incidence regression for Malaysia

    STA768 Advanced Time Series · Group

    A lagged regression on the determinants of tuberculosis incidence in Malaysia, 2000–2019, using WHO and World Bank data in R.

    ResultAdjusted R² 0.934

    • R
    • tidyverse
    • psych

  • P-05

    • Statistics

    HR employee attrition analysis

    STA705 Statistical Computing · Group

    Cleaned an HR dataset (missing values, outliers) and ran regression on the drivers of employee attrition in R.

    • R

  • P-06

    • BI
    • Data Engineering

    Supermarket inventory data model

    CSC787 Advanced Data Organization · Group (team lead)

    A stock-inventory data model and visualisation for a supermarket manager, with an inventory restock schedule. Led the team.

    • Power BI
    • Tableau
    • MySQL
    • Lucidchart

  • P-07

    • ML

    Women's e-commerce review sentiment

    DSC766 Text Analytics · Individual

    Multi-class sentiment analysis of women's e-commerce reviews in Python and Orange. Logistic Regression performed best.

    ResultLogistic Regression 77.7–79.0%

    • Python
    • Orange

  • P-08

    • BI

    Sigma Grocer BI dashboard

    CSC788 Data Visualization · Individual

    A business-intelligence dashboard for Sigma Grocer Sdn Bhd, built with Looker Studio and Vercel.

    • Looker Studio
    • Vercel

  • P-09

    • BI

    FMCG plastic-packaging ESG analysis

    CSC788 Data Visualization · Group

    An analysis of FMCG plastic-packaging ESG commitments. Wrote the technique justification and coordinated the group submission.

    • Orange

  • P-10

    • Optimisation

    Hybrid Whale Optimization Algorithm

    ISC747 Optimization with Nature-Inspired Computing · Individual

    A term paper on a hybrid metaheuristic that combines the Whale Optimization Algorithm (WOA) with Ant Colony Optimization (ACO).

    • WOA
    • ACO

// 06 · Skills & tools

Systems and tools.

Eight modules, from CRM and marketing automation to data engineering and machine learning.

// 07 · Education

Education and certifications.

  1. Sep 2024 – Jul 2026

    Master of Data Science

    Universiti Teknologi MARA (UiTM)

    13 courses. Dissertation: Machine Learning-Based Sentiment Analysis for an Intelligent Decision Support System in Malaysian Kopi F&B SMEs.

    • Analyzed 1,000+ customer reviews in a Kopi Kenangan case study, comparing 20 models across 5 experiments.
    • Selected Logistic Regression with SMOTE as the best model, reaching about 92.5% accuracy in sentiment classification.
    • Built a Streamlit decision-support app with the open-source Qwen 2.5 7B LLM (Hugging Face) acting as an AI business analyst agent.

    Read the dissertation case study

  2. 2019 – 2020

    Postgraduate Diploma in Syariah Law and Practice

    Universiti Teknologi MARA (UiTM)

  3. 2011 – 2018

    Bachelor of Syariah (Fiqh wa Usul)

    Yarmouk University, Jordan

Certifications

Microsoft

  • Generative AI Engineering Professional Certificate (2026)

Google

  • Data Analytics Professional Certificate (2021)
  • Business Intelligence Professional Certificate (2022)
  • Digital Marketing & E-commerce Professional Certificate (2022)
  • Building Resilient Streaming Analytics Systems on Google Cloud

IBM

  • Data Engineering Professional Certificate (2022)

Other

  • Account-Based Go-to-Market (GTM) Certification
  • Pipedrive Setup for Admins
  • Crash Course on Python
  • Claude 101

// 08 · Contact

Open a channel.

For MarTech, analytics, data or AI automation work, email is the fastest way to reach me.

Emailnabil.takiyuddin92@gmail.comLinkedInlinkedin.com/in/nabil-takiyuddin-(opens in a new tab)

Location

Puchong, Selangor, Malaysia

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