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𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐖𝐫𝐢𝐭𝐞𝐫 & 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐬𝐭 | 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞, 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, 𝐀𝐈 & 𝐀𝐏𝐈𝐬 | $𝟔𝟎𝐊+ 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 I am a Top 3% Technical Writer on Upwork. I deliver technical documentation that drives adoption, educates, empowers, and scales. I help clients translate technical complexity into clear business insights and actionable solutions. I have 8+ years in both technical writing and hands-on STEM & Business domains (Programming (Python, Delphi, R, JavaScript, React.js, Node.js), APIs, SaaS, Data Science, Data-Business-Behavioral-Customer-Marketing-Sales-Survey Analytics, Natural Language Processing, and Natural Science). I deliver high-impact content and documentation that accelerates and expands adoption of software products, shortens onboarding (helps and educates the readers, increases customer acquisition), and reduces support burden. My work has equipped global enterprise software companies, API vendors, SaaS platforms, content creators, and academia. I've worked with a $60,000+ contract for a documentation project, communicating tech solutions with precision and accessibility, and reached 2.5+ million developers worldwide. I have a degree in Astronomy: A complex science where I first learned scientific & analytics methods, and scientific & technical writing. Since then, working and helping people with data, scientific & technical stuff, and complex problems have become my passion and career where I am truly good at. 𝐖𝐡𝐲 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐦𝐞? • Rare dual expertise: Code-savvy and business-literate, I GET both engineers and non-technical teams. • Had experienced in the full-cycle of technical writing: From compliance to all the client briefs, expanding the existing topics & requirements, to fully orchestration-researching-writing, and SEO planning and monitoring. • Heavyweight results, not just deliverables: Proven ability to anchor high-value content, multi-year writing projects. Ranging from 500 to 3000+ words per article. • Had experience in ghost-writing research papers and white papers, from end-to-end. • Communication & reliability: I deliver on time, on brand, on brief, and with complete transparency, every time. • I am aware and keep up to date with the latest AI advancements (LLMs, generative AIs, Generative Engine Optimization/GEO, Automation) and can effectively & productively use them to enhance my work (e.g., for brainstorming, fact-checking, widening context, enriching references, etc.) without losing authenticity of the human touch. • Proven impact: My docs, guides, and articles actually move metrics (adoption, retention, satisfaction). 𝐂𝐨𝐫𝐞 𝐒𝐤𝐢𝐥𝐥𝐬 & 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐚𝐛𝐥𝐞𝐬: • Technical Writing & Documentation Platforms: WordPress, Elementor, Knowledge Base, SEO & GEO, Google Docs, GitHub, Markdown, Google Colab, Jupyter Notebook • Programming Languages: Python, R, Delphi, SQL, JavaScript, React.js, Node.js, Go • Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, Generative AI • Text Analytics: Social Media Mining, Text Mining, Sentiment Analysis, Topic Modeling, Natural Language Processing • Research Skills & Methods: Mixed Methods Research Design (Quantitative + Qualitative Analysis) • Business Analytics: KPI Definition & Tracking, Causal Impact Analysis, Root Cause Analysis, Behavioral Analytics • Data Analysis & Visualization, Exploratory Data Analysis, Hypothesis Testing • E-Commerce Analytics & Data-Driven Marketing: Microsoft Excel, Streamlit, Looker Studio, Google Analytics, Facebook Ads, Google Ads, & Databox, SQL • Emerging Technologies: AI, Generative AI, Automation, Blockchain, Web3 If you’re looking for a Technical Writer with immense experience, proven skills & track records, real passion for delivering high-quality content that makes your product shine and your users’ success, I’d love to collaborate with you. 🤝

Experienced data scientist since 2018. Have worked in a leading geospatial-focused company, developing machine learning, computer vision, data science, and GIS solutions. Why Work with Me? ✅I welcome proof-of-concept development, validate your solution's feasibility, no string attached! ✅I focus on delivering truly tailored solutions that solve your specific problems. ✅I bring a proven track record of successfully delivering projects that meet client goals (check my portfolio!) Don't hesitate to reach out to discuss your next solution! Core Skills: GIS & Remote Sensing: - Data analysis and automation using Python (GDAL, Rasterio, Geopandas) - Remote sensing workflows with Sentinel, Landsat, UAV imagery, and more - Proficient with QGIS, ArcGIS, Google Earth Engine Geospatial Data Science: - AI-powered Image classification, Object detection, Semantic segmentation, and Instance Segmentation (PyTorch, YOLO) - Machine learning for geospatial data (Scikit-learn, OpenCV, Scikit-image, XGBoost) - Data annotation in Roboflow, Label Studio, CVAT, and many more Web Development: - Backend development with Django & Flask, and FastAPI - Postgres/PostGIS database implementation. - JS, HTML, CSS

I am a Fullstack Developer & AI Specialist passionate about building impactful applications in Web Development and Artificial Intelligence. I have developed multiple independent and open-source projects, backed by professional certifications and a strong technical foundation. My key expertise includes: • Web Development (HTML, CSS, JavaScript, React, Node.js) • Data Science & Machine Learning (Python, Scikit-Learn, TensorFlow, PyTorch) • Artificial Intelligence (NLP, RNN, Transformers, Deep Learning) • Databases (SQL & NoSQL) I believe technology should deliver real solutions for SMEs, startups, and individuals. I am currently open to freelance and full-time opportunities in Web Development, Machine Learning, and AI solutions.

I am a Computer Vision Engineer and Modern Android Developer with extensive academic and industry research experience in advanced image processing, spatial/pattern analysis, and edge mobile deployment. Core Expertise & Tech Stack: Computer Vision & Image Processing (Python) • Real-Time Object Detection, Tracking & Segmentation (YOLO, OpenCV, PyTorch) • Texture Analysis & Feature Extraction (Gabor Wavelets, Spectral Analysis, Edge Detection) • Image Quality Assessment, Anomaly Detection & Industrial Inspection • Model Optimization & Quantization (TensorFlow Lite, ONNX, TensorRT) Modern Android Development (Kotlin) • Jetpack Compose (Declarative UI, State Management, Custom UI/Animations) • On-Device AI Integration (CameraX + TFLite/MediaPipe for real-time offline inference) • Clean Architecture, MVVM, Coroutines, Flow, and Dependency Injection (Hilt/Koin) Data Science & Analytics (Python) • End-to-End Data Pipelines & Predictive Modeling (Pandas, NumPy, Scikit-learn) • Custom Evaluation Metrics & Fine-Tuning • Performance & Statistical Data Visualization Have a project in mind involving image processing, custom Android apps, or data analytics? Click Invite to Job or Contact Me to discuss your requirements!

Tired of dealing with messy data, unreliable automation, or systems that don’t scale? I help companies build production-ready systems that automate complex workflows, process messy data (PDFs, APIs, databases), and stay reliable as they grow. Hi, I’m Fauzan 👋 Software Engineer + AI/ML Engineer with 8+ years of experience, mostly in energy and industrial systems (AU & ID markets). I’ve solved problems like: - Automated energy procurement workflows (reduced months/weeks → days/hours) - Built IDP pipelines to extract data from highly variable energy bills (PDF/Excel) - Designed end-to-end billing systems (ingestion → validation → invoicing → Xero) - Delivered energy analytics dashboards for cost optimization and operational insights - Enabled emissions reporting using structured energy data and emission factors - Deployed production ML systems (semantic search, document AI) What I can help you with: - Automation & Data Pipelines → extract, validate, and process data from PDFs, APIs, and databases into reliable workflows - Document AI (IDP) → OCR + Vision LLM pipelines to turn complex documents (invoices, bills) into structured data - Energy Data & Reporting → consumption analysis, cost tracking, dashboards, and emissions reporting (with correct factors) - AI / ML Systems → semantic search, forecasting, and production-ready ML pipelines (MLflow, deployment, monitoring) - Backend Systems → scalable Python services (FastAPI, Django), async processing (Celery, Redis) - Frontend & Admin Interfaces → React, Next.js, and mobile apps (Flutter) for actionable insights - Infrastructure & Scaling → CI/CD, Docker, AWS/Azure, monitoring with Grafana & Prometheus Tech I use (when it actually matters) - Backend: Python, FastAPI, Django, Flask - Frontend/Mobile: NextJS/React, Flutter (Mobile) - Data & ML: Pandas, NumPy, MLflow, NLP pipelines, Scikit-Learn - AI Stack: LLMs (GPT-4o/Vision), vector search (Milvus) - Infra: Docker, AWS, Azure, Celery, Redis - Database: PostgreSQL, MongoDB How I work I focus on delivering working systems, not just code: - Break down messy problems into structured systems - I move fast using spec-driven + AI-assisted development - I design systems that are simple, reliable, and maintainable - I avoid over-engineering — every component must justify its cost I take on projects I’m 100% confident I can deliver. If you need someone who can take a complex, messy problem and turn it into a clean, scalable system — let’s talk. If you’d like to discuss your project, just send me a message. We’ll review your requirements together and make sure the solution is tailored exactly to what you need. 🚀📊

I recently graduated with a Master's in Data Science, specializing in unsupervised learning and statistical validation on real-world operational data. My most recent project (my Master's thesis) analyzed 9,789 hospital inpatient records to find why 61% of insurance claims resulted in financial losses (total Rp 15.56B). Using clustering, PCA, and a five-layer statistical validation process, including bootstrap stability testing and Mann-Whitney U tests with FDR correction. I identified specific patient subgroups responsible for a disproportionate share of the losses, quantifying over Rp 231 million in excess cost across 330 cases, and surfacing concrete audit findings a simple average-cost analysis would have missed. Before moving into data science, I spent 4 years managing a content production pipeline that grew a YouTube channel from 250K to 1.8M subscribers (+616%). That experience gave me practical project management and stakeholder communication skills that I now bring to data work, alongside the technical output. Achievements and Work Experience: 1. Adjunct Lecturer for Database Courses, Nahdlatul Ulama University, Yogyakarta (September 2023 – February 2024) 2. Freelance Video Editor & Content Manager (September 2019 – November 2023) a) Key Achievements: - Increased YouTube subscribers from ±250K to ±1.79M - Managed the production of ±1,200 videos with a daily work rhythm of 1 video/day b) Main Responsibilities: - Handled campaigns and collaborated with sponsors/endorsements - Edited videos, including transitions, audio correction, color grading, effects, animations, text, pacing, and duration adjustments - Efficiently allocated work schedules for the team - Developed compelling storylines to enhance audience engagement - Published videos on platforms in a timely and strategic manner I'm currently looking for data analysis, EDA, clustering/segmentation, or statistical validation projects where I can apply rigor, not just run a quick model and call it done. Core skills: - Python (pandas, scikit-learn, NumPy) for data wrangling and modeling - Clustering & unsupervised learning (Clustering Algorithm, PCA, cluster validation metrics) - Statistical testing (bootstrap resampling, Mann-Whitney U, FDR correction) - SQL, ETL, and data cleaning on messy real-world datasets - Data visualization and translating technical findings into business-readable reports