I turn fragmented data into revenue growth — end-to-end.
📉 50% reduction in marketing cost per lead · 📈 >50% GMV growth through analytics-driven strategy · 🏆 >20% of company annual revenue from won tenders · 🤖 R² 0.96 ML models for predictive analytics
Proven results across data analytics, GTM engineering, and revenue operations — delivered remotely for US and Singapore-based companies.
I'm Khafidh Ramdhani — a Senior Revenue Operations professional with over 7 years of experience at the intersection of data analytics, GTM engineering, and revenue operations. I build the systems, pipelines, and models that turn raw data into measurable revenue growth.
What sets me apart is the trifecta: I don't just analyze data — I engineer the GTM workflows that act on it, and I design the RevOps infrastructure that measures the impact. This end-to-end capability means I can take a revenue problem from discovery to solution to measurement without handoffs.
As a Lead Data Analyst, I've led analytics teams, built ML models that optimize advertising spend, and delivered dashboards that drive C-Level decisions. As a Senior GTM Engineer, I've developed AI-powered lead qualification systems and automated workflows that streamline sales operations. And as a Senior Revenue Operations specialist, I've designed end-to-end data integration pipelines and reporting systems that empower leadership to make informed, revenue-driven decisions.
I'm passionate about bridging the gap between complex technical systems and business strategy — translating data into actionable outcomes that grow companies.
| Role | Company | Period |
|---|---|---|
| Data Analyst (RevOps & GTM Support) | AI Sales Doctor (Singapore) 🌐 | Apr 2026 – Present |
| Lead Data Analyst | DemandLane (California, USA) 🌐 | Feb 2025 – Mar 2026 |
| Data Scientist | DemandLane (California, USA) 🌐 | Jul 2024 – Jan 2025 |
| Business Intelligence | PINTAR Indonesia | Mar 2023 – Mar 2024 |
| SQL Instructor | RevoU Indonesia | Aug 2022 – Nov 2023 |
| Data Analyst | Tokopedia | Dec 2021 – Mar 2023 |
| Data Analyst | HarukaEdu | Jan 2021 – Dec 2021 |
| Data Analyst | RedDoorz | Jan 2020 – Jan 2021 |
| Data Engineer & Presales | PT Cybertrend Intrabuana | Jul 2019 – Dec 2019 |
🌐 = Remote role
| Category | Technologies |
|---|---|
| Revenue Operations | Pipeline Analytics, Revenue Attribution, Cross-Functional KPI Reporting, Cost Optimization, End-to-End Data Integration |
| Data & Analytics | SQL, Python, Tableau, Metabase, Looker Studio, ETL/dbt, AWS, Google Sheets/Excel |
| GTM Engineering | ML Lead Scoring, Sales Workflow Automation, Web Scraping, Google Apps Script, Google Tag Manager, Google Analytics |
| ML/AI | AutoGluon, Random Forest, scikit-learn, Predictive Modeling, Feature Engineering, AutoML Pipelines |
Here are some of my open-source repositories that demonstrate my capabilities:
An automated machine learning pipeline powered by AutoGluon. Drop a CSV file and receive a fully documented Jupyter Notebook covering data cleaning, model training (LinearModel, XGBoost, LightGBM, Random Forest, ensembles), evaluation, and recommendations. Supports lightweight, balanced, and best-quality presets with Docker deployment.
Tags: autogluon, automl, python, jupyter-notebook
A comprehensive market analysis of Toyota's used car inventory. Includes rigorous EDA, outlier removal, Random Forest modeling (R² 0.96), market segmentation strategy (Premium/Eco/Budget), and identification of "Underpriced Gems" — vehicles with immediate high-margin opportunities. Demonstrates the same analytical rigor I apply to revenue optimization.
Tags: data-science, exploratory-data-analysis, python, jupyter-notebook
A Python CLI tool that matches company names from input CSVs against master lists using rapidfuzz fuzzy matching. Features streamed CSV processing for low memory usage, real-time progress tracking with ETA, Docker-ready execution, and up to 5 top matches with confidence scores. Practical for CRM data cleaning and lead enrichment workflows.
Tags: python, similarity, cli, docker
Crawl documentation websites and compile them into a single structured Markdown document. Features BFS crawling, smart content extraction, Playwright for JS-rendered sites, and a GitHub Profile Summary mode that fetches all public repository READMEs with aggregated stats.
Tags: python, web-scraping, documentation, markdown, crawling
🔄 json2csv
Convert JSON files to structured CSV tables with automatic nested object flattening and array expansion. Supports batch processing, multiple JSON formats, Docker deployment, and has zero external dependencies beyond Python standard library.
Tags: python, json, csv, data-transformation
- 26 public repositories across diverse domains
- Top Languages: Jupyter Notebook, Python, JavaScript, HTML
- Active Repos: 22 (non-archived, non-fork)
- Key Topics: python, data-science, automl, cli, docker, web-scraping
Nusa Cendana University (Undana) — Kupang, Indonesia
- Bachelor's Degree: Agricultural Business (S.P.)
- GPA: 3.80 / 4.00 — Cum Laude
- Honors: Most Outstanding Graduate of the Faculty of Agriculture
- Concentration: Agricultural Economics
I'm exploring senior RevOps opportunities — remote-first, globally. If you're looking for someone who can connect data, GTM, and revenue into a single growth engine, let's talk.
Built with facts, not fiction. Based on verified professional experience.
© 2026 Khafidh Tri Ramdhani — Senior Revenue Operations, Lead Data Analyst, Senior GTM Engineer