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TOP-RATED DATA ANALYST - Expert on Metabase, Tableau, PowerBI, Excel, GSheet, Looker, Zoho ▣ Metabase Embedding Dashboard: Interactive Embedding & Static Embedding ▣ Metabase Data Analytics expert,MBA, with 9+ years of data related experience. Worked with more than 5 companies in local and 12 companies in remote job. I have worked with many clients from the USA, Europe, Canada, Australia, and EMEA regions. Specialized in getting insights out of your data through dashboards and reports built in Metabase, Zoho, Tableau, Power BI or Excel/Google Sheets. ▣ Metabase Dashboards are: - Ready to navigate, Basic date filters, Category/Option/Other filters - Combination of charts, trends, reports & analysis ▣ Metabase dashboards includes: - Metabase Questions, Summary numbers, Reports & Analysis - Different types of trends, Various charts and visuals ▣ My profile: Mahabubur Rahman, Education 03: Master's of Science in Data Science Education 02: Diploma in Data Analytics Education 01: Bsc in Computer Science Certification: Certified Data Analyst Professional (Issued by Datacamp) Certification: Google Certified Data Analyst ▣ Professional Data Analyst Profile: (SQL Based) Expert on Metabase, YellowfinBI, Tableau, PowerBI, Excel, Google Sheet ▣ For consultancy and opportunities with Metabase platform, I prefer to discuss in Upwork chat before you purchase my upwork projects. We will discuss first before starting reports and dashboards in Metabase. Also I’m open to negotiate.

𝗖𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴 𝘁𝗵𝗮𝘁 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗰𝗼𝘂𝗻𝘁𝘀 𝗲𝘃𝗲𝗿𝘆 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻. Your setups look fine on the surface. GA4 is installed, the Meta Pixel fires, Google Ads shows conversions. But underneath, 20-40% of actual conversions are disappearing - lost to ad blockers, ITP, browser cookie limits, and broken deduplication. Your algorithms train on incomplete data and you don't know it. I'm a conversion tracking and attribution specialist with a developer background. I fix measurement at the foundation level - I don't just configure tools, I understand why they fail and build setups that don't. Server-side infrastructure, custom dataLayer architecture, first-party data, proper deduplication, clean attribution. This is what accurate measurement actually requires. 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝗜 𝗙𝗶𝘅 → 𝗚𝗔𝟰 𝘀𝗵𝗼𝘄𝘀 𝗵𝗶𝗴𝗵 𝗨𝗻𝗮𝘀𝘀𝗶𝗴𝗻𝗲𝗱 𝘁𝗿𝗮𝗳𝗳𝗶𝗰 𝗼𝗿 𝗻𝘂𝗺𝗯𝗲𝗿𝘀 𝗻𝗼𝗯𝗼𝗱𝘆 𝘁𝗿𝘂𝘀𝘁𝘀: I audit the setup, find the broken or duplicate tags causing it, and fix the tracking itself. → 𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗱𝘀 𝗮𝗻𝗱 𝗠𝗲𝘁𝗮 𝗿𝗲𝗽𝗼𝗿𝘁 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗻𝘂𝗺𝗯𝗲𝗿𝘀 𝘁𝗵𝗮𝗻 𝘆𝗼𝘂𝗿 𝗯𝗮𝗰𝗸𝗲𝗻𝗱: usually deduplication, EMQ, or attribution windows misconfigured. I diagnose and rebuild it. → 𝗠𝗲𝘁𝗮 𝗖𝗔𝗣𝗜 𝗶𝘀 𝗹𝗶𝘃𝗲 𝗯𝘂𝘁 𝗘𝗠𝗤 𝗶𝘀 𝘀𝘁𝘂𝗰𝗸 𝗯𝗲𝗹𝗼𝘄 𝟳: I fix FBCLID persistence and dedup keys until EMQ holds above 8.0. → 𝗦𝗺𝗮𝗿𝘁 𝗕𝗶𝗱𝗱𝗶𝗻𝗴 𝗶𝘀𝗻'𝘁 𝗶𝗺𝗽𝗿𝗼𝘃𝗶𝗻𝗴 𝗲𝘃𝗲𝗻 𝘁𝗵𝗼𝘂𝗴𝗵 𝘁𝗿𝗮𝗰𝗸𝗶𝗻𝗴 "𝗹𝗼𝗼𝗸𝘀 𝗳𝗶𝗻𝗲": I've found tags duplicated for a year+ and tracking broken 40-70 days on live accounts. → 𝗨𝗧𝗠𝘀 𝗴𝗲𝘁 𝘀𝘁𝗿𝗶𝗽𝗽𝗲𝗱 𝗼𝗿 𝗼𝘃𝗲𝗿𝘄𝗿𝗶𝘁𝘁𝗲𝗻 𝗮𝗻𝗱 𝗰𝗵𝗮𝗻𝗻𝗲𝗹𝘀 𝗴𝗲𝘁 𝘁𝗵𝗲 𝘄𝗿𝗼𝗻𝗴 𝗰𝗿𝗲𝗱𝗶𝘁: fixed at the dataLayer level so spend decisions reflect reality. → 𝗟𝗲𝗮𝗱𝘀 𝗳𝗿𝗼𝗺 𝗚𝗼𝗛𝗶𝗴𝗵𝗟𝗲𝘃𝗲𝗹, 𝗛𝘂𝗯𝗦𝗽𝗼𝘁, 𝗼𝗿 𝗦𝗮𝗹𝗲𝘀𝗳𝗼𝗿𝗰𝗲 𝗻𝗲𝘃𝗲𝗿 𝗿𝗲𝗮𝗰𝗵 𝗚𝗼𝗼𝗴𝗹𝗲 𝗔𝗱𝘀 𝗼𝗿 𝗠𝗲𝘁𝗮: I set up offline conversion imports so closed deals feed the algorithm, not just form fills. 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 𝗧𝗵𝗮𝘁 𝗦𝗵𝗼𝘄 𝗛𝗼𝘄 𝗧𝗵𝗶𝘀 𝗪𝗼𝗿𝗸𝘀 𝟭) 𝗦𝗵𝗼𝗽𝗶𝗳𝘆 𝗣𝗹𝘂𝘀 𝗚𝗔𝟰/𝗚𝗧𝗠 𝗔𝘂𝗱𝗶𝘁 + 𝗠𝗶𝗴𝗿𝗮𝘁𝗶𝗼𝗻: Client had 41.9% Unassigned traffic in GA4 and ROAS/CPA numbers nobody trusted. My audit found a duplicate Google Ads conversion tag live since January 2025 - inflating reported conversions 3.3x to 5.4x every month for 17 months - plus a missing checkout domain in Conversion Linker, Enhanced Conversions variable bugs, and a GA4 referral exclusion issue. Fixed every item, then ran the full migration with QA and a monitoring plan. 𝗥𝗲𝘀𝘂𝗹𝘁: 𝗨𝗻𝗮𝘀𝘀𝗶𝗴𝗻𝗲𝗱 𝘁𝗿𝗮𝗳𝗳𝗶𝗰 𝗱𝗿𝗼𝗽𝗽𝗲𝗱 𝗳𝗿𝗼𝗺 𝟰𝟭.𝟵% 𝘁𝗼 𝘂𝗻𝗱𝗲𝗿 𝟭𝟲% 𝗶𝗻 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝘄𝗲𝗲𝗸. 𝟮) 𝗤𝘂𝗶𝘁 𝗛𝗲𝗿𝗼 (𝗔𝗨 𝘁𝗲𝗹𝗲𝗵𝗲𝗮𝗹𝘁𝗵, 𝗦𝗵𝗼𝗽𝗶𝗳𝘆): Built a full server GTM + Meta CAPI stack on Stape over a browser-only setup with no deduplication. 𝗥𝗲𝘀𝘂𝗹𝘁: 𝟴.𝟮/𝟭𝟬 𝗘𝗠𝗤, +𝟰𝟮.𝟵% 𝗮𝗱𝗱𝗶𝘁𝗶𝗼𝗻𝗮𝗹 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻𝘀 surfaced that native tracking had missed entirely. 𝟯) 𝗧𝗶𝗻𝘆𝗕𝗼𝘁 𝗩𝗶𝗻𝘆𝗹 (𝗦𝗵𝗼𝗽𝗶𝗳𝘆): UTM contamination was misattributing conversions across the funnel. Fixed at the dataLayer level. 𝗥𝗲𝘀𝘂𝗹𝘁: 𝟳𝟭𝟲% 𝗥𝗢𝗔𝗦 𝗼𝗻 $𝟰𝟮.𝟱𝗞 𝗮𝗰𝗿𝗼𝘀𝘀 𝟵𝟴𝟬 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻𝘀. 𝟰) 𝗣𝗲𝗿𝗺𝗮-𝗣𝗶𝗲𝗿 (𝘃𝗶𝗮 𝗖𝗮𝗽𝗶𝘁𝗮𝗹 𝗔𝗱𝘃𝗲𝗿𝘁𝗶𝘀𝗶𝗻𝗴): 40-70 days of broken Google Ads conversion tracking running live - Smart Bidding training on corrupted signals for months. Rebuilt the architecture with GTM-direct firing to restore clean data. 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝘁𝗮𝗰𝗸 - Tracking: GTM (browser + server-side), Stape, GA4, Meta Pixel, Meta CAPI, Google Ads Conversion Tracking, Enhanced Conversions, Consent Mode v2 - Attribution and Data: GCLID/FBCLID persistence, UTM attribution, cross-domain tracking, deduplication, first-party data, offline conversion imports, CRM attribution (GoHighLevel, HubSpot, Salesforce) - Reporting: Data Studio, GA4 Explorations, BigQuery, multi-touch attribution modeling - Platforms: Shopify, Shopify Plus, WooCommerce, WordPress, NextJS, GoHighLevel 𝗪𝗵𝘆 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 𝗕𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 Most tracking failures are not configuration problems - they are code problems. A checkout flow that strips UTM parameters. An SPA that doesn't fire pageviews on route change. A React app where dataLayer events run before the DOM is ready. These need JavaScript debugging, not GTM clicks. My developer background lets me trace issues to root cause instead of surface fixes - custom JavaScript for edge cases, custom dataLayer schemas for complex funnels, and API integrations when standard implementations fail. If your conversion data doesn't look right - or you're not sure whether it does - I'll audit your setup and tell you exactly what's broken and what it would take to fix it.

Looking at past data will not save you from future operational disasters. Whether you are preparing to authorize a multi-million-dollar facility layout, deploying autonomous AI agents to automate your business logic, or submitting career-defining scientific research, relying on static spreadsheets or unpredictable public AI tools is a massive liability. You need deterministic, mathematical proof before you act. I build the simulation engines that predict your outcomes, the autonomous AI agents that securely execute your workflows, and the visual interfaces that prove your case to stakeholders. 🏗️⚡ Forged in the zero-margin-for-error environments of clinical pharmacy and executive administration, I am not a task-executor who requires constant management. I am a strategic project leader. I engineer fully compliant, scientifically rigorous analytical architectures that de-risk your most critical decisions. 🧠♟️ ⚙️ Core Engineering & Consulting Domains: 1️⃣ Operations Simulation & Executive Risk Mitigation I provide CapEx insurance. Test your physical layouts and financial models in a risk-free digital environment before deploying capital. ✅ Enterprise Digital Twins (AnyLogic / Simul8): Engineering production-grade Discrete Event Simulations (DES) and System Dynamics. I expose hidden bottlenecks and mathematically validate capacity for complex manufacturing lines, warehouse logistics, and healthcare networks. ✅ Quantitative ROI Forecasting (Excel): Transforming static financial data into dynamic probability models. I build advanced Monte Carlo simulations utilizing Crystal Ball and @Risk to defend your strategic investments against variance and uncertainty. 2️⃣ AI Automation & Custom Web Applications I build intelligent systems that automate your specific business logic and translate complex back-end math into intuitive front-end platforms. 🛡️ ✅ Type-Safe AI Agents for Business Automation (Pydantic AI / Python): I architect custom, autonomous agents tailored to automate your specific business workflows while protecting corporate IP. These agents securely route multi-step tasks across premium LLMs, entirely local hardware, or zero-cost Ollama cloud models to execute critical operations reliably—without hallucinating, breaking compliance, or inflating API costs. ✅ Interactive Stakeholder UI (Streamlit / Dash): The best model fails if the board cannot understand it. I develop custom browser-based web wrappers and physics-based explainer demos (Veo/Sora) allowing non-technical stakeholders to interact with the logic and instantly grasp the value. 3️⃣ Scientific Analytics & Academic Data Strategy I ensure your research methodology is statistically bulletproof and immune to peer-review rejection. 🔬 ✅ Epidemiological & Scientific Modeling: Delivering high-level hypothesis testing, survival analysis, and advanced regression utilizing Stata and Python. I tailor methodologies specifically to handle the rigid complexities of medical, clinical, and industrial datasets. ✅ Q1 Academic Publishing & Typesetting: Providing rigorous, publication-ready manuscript preparation (IMRaD, APA) and expert typesetting (LaTeX, MS Word) to ensure your research is bulletproof, beautifully presented, and ready for top-tier journal submission. 🚀 The Bottom Line: You are securing a strategic partner who brings executive leadership to algorithmic development. I understand the rigid math of the back-end, the type-safe architecture required for reliable business automation, the security of your infrastructure, and the communication required to secure funding on the front-end. Let’s translate your operational complexity into absolute certainty. 🤝

I help e-commerce brands and marketing agencies turn fragmented ad data into one dashboard that shows what's actually profitable — not just what looks good in ROAS. Most teams I work with have the same problem: Shopify, GA4, Meta, Google Ads, and TikTok all live in different tools, and no one can answer the only question that matters — which channels are making us money after refunds, COGS, and shipping? I build the data layer and dashboards that answer it. What I specialize in: - Marketing dashboards in Metabase, Looker Studio, and Power BI - Cross-channel attribution: MER, blended CAC, channel and campaign profitability - SQL pipelines connecting Shopify, GA4, BigQuery, Meta, Google Ads, and Google Sheets - Server-side tracking (GTM SS, Meta CAPI) when attribution data is broken upstream Recent work - Built a Metabase analytics system for a commercial real estate platform (FinanceLobby) that surfaced $275K–$490K in business value through customer behavior analysis and reporting that didn't exist before. - Migrated a marketing agency from Supermetrics to a free-connector stack (Data Bloo) and unified six paid channels into a single Looker Studio dashboard, cutting their reporting tool spend and reporting time. - Rebuilt a D2C brand's channel attribution to expose ~$12K/month in spend going to "high-ROAS" campaigns that were unprofitable after returns. Tooling: Metabase · Looker Studio · Power BI · BigQuery · PostgreSQL ·Excel ·Google Sheet · GA4 · GTM (web + server-side) · Meta CAPI · SQL · Python · Google Apps Script If your ad spend is going up but profit isn't — or if your team is drowning in spreadsheets pretending to be a dashboard — let's talk. I'll usually have a clear read on the fix within a 30-minute call.

Most AI projects fail because of two things: messy training data, slow and manual workflows. I fix both. I am an AI workflow automation engineer and data annotation and labeling expert with over 5 years of experience building, labeling, and optimizing datasets for machine learning models. I sit exactly between the raw data and the pipeline engineering. By combining local Python environments with advanced dev tools like Claude Code and Codex I don't just label or annotate data; I write the code to automate the pipeline. What I execute: • Pipeline Automation: Build custom web tools, API integrations, and agentic workflows using n8n, Make and Zapier to eliminate manual data bottlenecks. • Data Scripting: Write custom Python scripts (OpenCV, NumPy, Pandas) to parse, clean, transform, and format massive datasets. • High-Precision Annotation & Labeling: Deliver flawless 2D/3D bounding boxes, polygon/semantic segmentation, LiDAR point clouds, and multi-camera video tracking. • GenAI & LLMs: Handle RLHF response ranking, preference modeling, prompt engineering, and Human-in-the-Loop (HITL) validation. • Core Tools: CVAT, Label Studio, Roboflow, and Scale AI. I’ve logged thousands of hours working on autonomous driving data, multi-camera tracking systems, and text classification models. I work independently, follow strict guidelines, and maintain a 99%+ accuracy baseline. If you have a workflow bottleneck that needs engineering or a critical dataset that needs to be annotated or labeled for your next sprint, send me an invite and let’s talk.

Marketing data infrastructure engineer - I build the server-side tracking, offline conversion pipelines, and ad-platform automation that keep ad spend efficient at scale. 15 years of backend engineering behind every system. Over the last 4 years, I engineered and operated the entire ad-tech and data infrastructure for a high-spend advertiser: custom Google Ads API integrations, offline conversion pipelines feeding CRM and post-sale data back to Smart Bidding, server-side GTM, Meta CAPI, audience syncing, and performance feedback loops. Not campaign management - engineering. That's what separates me from a typical tracking specialist or ads optimizer. I don't just configure tags in a UI. I build the systems that manage, optimize, and measure ad performance programmatically - with proper architecture, error handling, monitoring, and scale. What I design and build for clients: → Server-Side Tracking & Data Layer Infrastructure: Custom sGTM setups, server-side tracking, and data-layer engineering to minimize tracking drop-offs and future-proof against cookie deprecation. → Offline Conversion Tracking (OCT) Pipelines: Piping post-sale CRM data (HubSpot, Salesforce, custom DBs) back into Google Ads and Meta to feed clean data to Smart Bidding and Advantage+. → Conversions API (CAPI) Implementation: Server-side event pipelines for Meta, TikTok, and LinkedIn - with matching quality optimization, deduplication, and integration with sGTM and CRM data. → Google Ads API Automation: Automated campaign generation, asset management, custom bid rule engines, dynamic budget pacing, real-time performance alerts, and continuous campaign optimization. → AI Workflow & Operations Automation: Automated workflows using n8n, Make, and LLM APIs (OpenAI, Claude, Gemini) to sync ad platforms with internal systems, Slack, WhatsApp, and spreadsheets. → Custom Ad-Tech SaaS Development: Full-stack development using Laravel, Next.js, React, and PostgreSQL when a bespoke platform or analytics dashboard is required. Proven Record: ✅ One client retained continuously for 4+ years ($400K+ single engagement) ✅ 24,000+ hours on Upwork, 100% Job Success Score, Top Rated Plus ✅ Recently launched AdsOptimizer Lab - my own Google Ads optimization platform