I partner with enterprises, founders & startups to design and build scalable, production-ready MVPs, AI platforms, multi-tenant SaaS products, web/mobile/custom software, internal tools, AI-driven workflow automation, and data-intensive backend systems across a range of industries. I'm the founder of Afryvo Analytics, a 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 full-stack development team (100% Job Success Score) with 8 years of hands-on experience architecting, building, testing, and shipping production-grade software — including AI-native SaaS platforms. I work as an end-to-end technology partner across the full development lifecycle: product scoping and design, infrastructure planning, system and database architecture, API and AI integration, front-end and back-end build-out, QA, cloud deployment, launch, and post-launch support. We've shipped 200+ custom builds for founders, funded startups, and enterprise clients spanning nearly every continent, backed by a strong record of client satisfaction. Most engagements start one of a few ways: building an MVP from the ground up, scaling a product that's gaining traction, modernizing an aging system, stabilizing a shaky platform, tuning performance, or layering AI into an existing product without breaking what already works. From there, I translate business goals, ROI targets, user workflows, compliance needs, budget, and timeline into a concrete plan — scope, milestones, architecture, integrations, testing/UAT, and rollout. For founders and funded startups specifically, I help turn an early idea and business model into a tight MVP scope, a scalable architecture, and a launch roadmap — without overbuilding before you've validated demand. Architecture decisions are driven by product stage, scalability needs, compliance requirements, operational complexity, and budget — covering secure integrations, tenant isolation, data modeling, AI-ready data foundations, deployment, observability, and long-term maintainability. Industries I've worked across: health & fitness tech, construction, manufacturing & permitting, home services/solar, knowledge management & research tools, finance, retail, and consumer goods. If you need a development partner to build custom software, integrate AI, modernize a legacy system, or architect for long-term scale — let's talk. Our Development Team & Tech Stack: Frontend Dev: React, Next.js, TypeScript, JavaScript, Tailwind CSS, shadcn/ui. Mobile & Desktop Dev: React Native, Flutter, Swift, Kotlin, Electron Game Dev: Unity, C#, Unreal Engine 5, C++, Blueprints, Photon, PlayFab, Roblox Studio, Luau Backend Dev: Node.js, NestJS, Express.js, Python, FastAPI, Django, Java, Spring Boot, Golang APIs: REST, GraphQL, WebSockets, gRPC, OpenAPI, Swagger. Databases: PostgreSQL, MySQL, MongoDB, Redis, DynamoDB, Supabase, Firebase Firestore, RDS, Elasticsearch, OpenSearch, Amazon S3. Data Engineering: SQL, Pandas, NumPy, Apache Kafka, RabbitMQ, Apache Airflow, dbt, Apache Spark, Snowflake, BigQuery, Amazon Redshift AI & ML: OpenAI, Claude, Gemini, Llama, Mistral, PyTorch, TensorFlow, Scikit-learn, XGBoost, LightGBM, Hugging Face Transformers, LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, DSPy Vector Search: pgvector, Pinecone, Weaviate, Qdrant, FAISS, Chroma Computer Vision, NLP & AI Voice: OpenCV, YOLO, spaCy, Whisper, Deepgram, ElevenLabs Cloud / DevOps: AWS, GCP, Azure, Docker, Kubernetes, Terraform, GitHub Actions, GitLab CI/CD, Vercel, Cloudflare, Nginx Security / Auth: OAuth2, OpenID Connect, Auth0, Clerk, Okta, JWT, SAML, Vault, AWS Secrets Manager Testing / Monitoring: Jest, PyTest, JUnit, Playwright, Cypress, Postman, Datadog, Grafana, Prometheus, Sentry, OpenTelemetry, CloudWatch Compliance: HIPAA, SOC2, PCI-DSS, GDPR, ISO 27001, NIST, HL7/FHIR, KYC/AML, PII/PHI Software Development Services & Technical Capabilities: Full Stack Development, Software Development, AI Development Team, Front & back end dev, Artificial intelligence, Machine Learning, Deep Learning, Web Development, Web Application, Mobile App, AI native web development, API Integration, Full Stack developer, React & Python developer, AI developer, Web, Mobile & Software Dev, AI SaaS Dev, AI/ML, NLP, LLM, OpenCV, Algorithm, Chatbot, Developer, AI Integration, AI Automation, OpenAI, AWS, AI Agent Developer, Software Architecture & Design, AI Model Integration, Database Architecture, Solution Architecture.

I build and code the data layer for growing businesses: pipelines in, dashboards out, workflows automated, conversions tracked. Coming from B2B and direct-sales leadership (including AT&T campaigns), I know what the numbers need to answer — not just how to chart them. 🔧 Data Engineering & ETL Pipelines Production data pipelines: a 4-source ETL system with an LLM processing stage and 85 automated tests, and a TypeScript payroll data platform on BigQuery with Cloudflare Workers and REST API integrations. Both on GitHub. 📊 BI & Dashboards Power BI (Power Query, DAX, data modeling) and Looker Studio dashboards for operations, marketing funnels, and payroll/finance reporting. Three published Power BI dashboards in my portfolio. ⚙️ Automation & AI Workflows Make scenarios with OpenAI integration, Google Apps Script automation, and automation-ready data structuring. Published invoice-automation scenario with a written case study. 📈 Tracking & Attribution GTM + GA4 implementations, Meta Pixel with server-side Conversions API, and custom conversion events. Two live client implementations documented as case studies. 🚀 Revenue Ops & Funnels GoHighLevel funnel builds — registration pages, automation workflows, attended/no-show splits — plus CRM pipelines in Google Sheets with Apps Script. Every claim above is backed by a linkable build: GitHub repos, live dashboards, and written case studies. If you want reliable numbers and less manual work, let's talk.

Drowning in fragmented data and manual reporting? I build automated data pipelines, rigorous statistical models, and objective dashboards that replace the chaos. My goal is to deliver a single source of truth, giving your team reliable, real-time insights you can confidently act on. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗲𝗹𝗶𝘃𝗲𝗿 → ⚙️ Data Engineering & Automation ⟶ Architecture & Pipelines (ETL/ELT): Designing end-to-end automated pipelines using Microsoft Fabric, Python, Apache Spark, and dbt to integrate messy data from ERPs, CRMs, APIs, and flat files. ⟶ Warehousing & Orchestration: Building scalable Lakehouses/Warehouses and automating workflows to eliminate manual data entry and reduce human error. → 📊 Business Intelligence & Dashboards ⟶ Enterprise Reporting: Building high-performance, user-focused dashboards in Power BI, Tableau, and Apache Superset that prioritize clean, objective data visualization. ⟶ Performance Optimization: Auditing and speeding up slow, bloated Power BI reports using DAX Studio, Tabular Editor, and Measure Killer. → 📈 Statistical Analysis & Research ⟶ Advanced Analytics: Moving beyond "what happened" to "why it happened" using R and Python for hypothesis testing, A/B analysis, and predictive modeling. ⟶ Exploratory Data Analysis (EDA): Deep-diving into complex datasets to uncover hidden patterns, delivering findings via reproducible reports (RMarkdown) or interactive web apps (R Shiny). ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔗 𝗧𝗼𝗼𝗹𝘀 & 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 Power BI (advanced DAX, Power Query, semantic modeling, DAX Studio, Tabular Editor, Bravo, Measure Killer) · Microsoft Fabric · Python · R · SQL · dbt · Soda Core · Elementary · Apache Airflow · Dagster · Airbyte · Prefect · Containers & Orchestrators (Docker, Git/GitHub, CI/CD) · Tableau · Azure · ClickHouse · PostgreSQL · MySQL · APIs · AI Agentic Development · Microsoft Excel / Google Sheets · PySpark, SparkSQL, SparkR ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 𝗣𝗿𝗼𝗳𝗲𝘀𝘀𝗶𝗼𝗻𝗮𝗹 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 ✅ Microsoft Fabric Data Engineer (DP-700) ✅ Microsoft Fabric Analytics Engineer (DP-600) ✅ Microsoft Power BI Data Analyst (PL-300) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ I combine data modeling best practices with a commitment to objective, truth-revealing visualization. I deliver projects on time, meticulously documented, and ensure clear communication from day one. I would love to hop on a quick call to discuss your project. The first consultation is on me!

𝐈 𝐚𝐦 𝐚 𝐒𝐞𝐧𝐢𝐨𝐫 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐚𝐧𝐝 𝐂𝐥𝐨𝐮𝐝 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐬𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐢𝐧𝐠 𝐢𝐧 𝐀𝐖𝐒, 𝐀𝐳𝐮𝐫𝐞, 𝐃𝐚𝐭𝐚 𝐏𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐄𝐓𝐋/𝐄𝐋𝐓 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭, 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐏𝐲𝐭𝐡𝐨𝐧 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧. 𝐈 𝐝𝐞𝐬𝐢𝐠𝐧 𝐬𝐜𝐚𝐥𝐚𝐛𝐥𝐞, 𝐬𝐞𝐜𝐮𝐫𝐞, 𝐚𝐧𝐝 𝐡𝐢𝐠𝐡 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐝𝐚𝐭𝐚 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐩𝐨𝐰𝐞𝐫 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬, 𝐁𝐈 𝐝𝐚𝐬𝐡𝐛𝐨𝐚𝐫𝐝𝐬, 𝐀𝐈 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬, 𝐚𝐧𝐝 𝐞𝐧𝐭𝐞𝐫𝐩𝐫𝐢𝐬𝐞 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬. 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗼 I help companies build production ready data ecosystems using: Data Engineering & Pipeline Development - ETL / ELT architecture and development - Batch and streaming pipelines - Databricks, Apache Spark, Python - Airflow, Azure Data Factory Cloud & Platform Architecture - AWS, Microsoft Azure, Microsoft Fabric - Serverless and managed services: Lambda, Glue, EMR, ECS, Azure Functions, Synapse Big Data & Distributed Processing - Apache Spark (batch and streaming) - Databricks - Kafka, Hadoop Data Storage & Database Engineering - Data lake and data warehouse design - Data Modeling - PostgreSQL, MySQL, SQL Server - Snowflake, Teradata DevOps, Automation & Deployment - Docker based deployments - CI/CD pipelines - DevOps and infrastructure automation AI & Analytics Ready Data Pipelines - RAG development and chatbot data pipelines - Model preprocessing and feature engineering - Data preparation for AI, ML, and analytics workloads 𝗪𝗵𝘆 𝗮𝗺 𝗜 𝗮 𝗦𝘁𝗿𝗼𝗻𝗴 𝗙𝗶𝘁! • 9+ years of hands-on experience building, scaling, and maintaining large-scale data platforms • Deep expertise in designing and operating ETL/ELT pipelines and real-time streaming systems • Strong Python engineering for data processing, automation, and backend data services • Proven experience building reliable, cost-efficient cloud-based data architectures • Regularly support analytics, BI, and AI/ML teams with production-ready data pipelines • Known for clean documentation, clear communication, and consistent delivery in complex data environments 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 𝗪𝗼𝗿𝗸𝗲𝗱 𝗪𝗶𝘁𝗵 Finance, SaaS, Retail, Healthcare, Logistics, Enterprise Software & Analytics If you are looking for a high level Data Engineer & Cloud Architect who can design, build, optimize, and scale your entire data platform then let’s discuss your project in detail. I am ready to start immediately.

I help businesses build reliable, scalable data pipelines and cloud data solutions using Python, PySpark, AWS, Snowflake and SQL. I specialize in: • ETL/ELT pipeline development • AWS data engineering with S3, Glue, Lambda and Step Functions • Python and PySpark data processing • Snowflake data warehousing and data pipelines • DBT transformations and data modeling • SQL development and optimization • Data quality and validation frameworks • API-to-database and API-to-data-warehouse integrations • Data migration and automation I can help you build a solution from data ingestion through transformation, validation, storage and analytics. Typical architecture I work with includes: API / Database → S3 → AWS Glue / PySpark → Data Quality → Snowflake I focus on writing maintainable code, implementing proper error handling and building pipelines that are reliable in production. If you have an existing pipeline that is slow, failing, difficult to maintain, or producing poor-quality data, I can help diagnose the issue and improve it. Let's discuss your data pipeline, ETL, AWS, PySpark or Snowflake requirement.

⭐⭐⭐⭐⭐ 𝟱.𝟬𝟬 𝗥𝗮𝘁𝗶𝗻𝗴 | 𝟯𝟬+ 𝗦𝘂𝗰𝗰𝗲𝘀𝘀𝗳𝘂𝗹 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 🥇 𝗚𝗼𝗼𝗴𝗹𝗲 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁 🥇 𝟭𝟬𝟬% 𝗝𝗼𝗯 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗦𝗰𝗼𝗿𝗲 🏆 𝗧𝗼𝗽 𝗥𝗮𝘁𝗲𝗱 𝗙𝗿𝗲𝗲𝗹𝗮𝗻𝗰𝗲𝗿 😊𝗦𝗼𝗺𝗲 𝗖𝗹𝗶𝗲𝗻𝘁 𝗥𝗲𝘀𝘂𝗹𝘁𝘀 𝗜’𝘃𝗲 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝗲𝗱 ✨ Built a Global Amazon Performance & Profitability dashboard tracking $13M+ revenue, ROAS, TACOS, CVR, contribution margin, and ASIN performance using Metabase and SQL. ✨ Designed Cross Channel Marketing dashboards integrating Google Ads and Meta Ads with structured ETL pipelines for unified ROI and attribution tracking. ✨ Developed automated SQL based Data Engineering workflows reducing manual reporting time by 60%+ for marketing and operations teams. ✨ Built executive level Metabase dashboards for leadership teams covering revenue run rate, performance tracking, and marketing efficiency metrics. 💡𝗥𝗲𝗮𝗹 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗣𝗿𝗼𝗯𝗹𝗲𝗺𝘀 𝗜 𝗦𝗼𝗹𝘃𝗲 » Marketing dashboards integrating Google Ads, Meta Ads, and GA4 » Tracking ROAS, CAC, LTV, CLTV, ROI, and contribution margin » Amazon revenue and profitability analytics » Building automated ETL pipelines for CRM and advertising platforms » Replacing manual Excel reporting with scalable Data Engineering systems » Optimizing slow SQL queries and improving dashboard performance » Designing structured Metabase and Superset Data Visualization systems 🚀𝗪𝗵𝘆 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗖𝗵𝗼𝗼𝘀𝗲 𝗠𝗲 ✔ Strong blend of Data Analysis and Data Engineering ✔ Clean ETL architecture that keeps dashboards accurate and reliable ✔ Advanced SQL optimization for high performance Metabase systems ✔ Business focused approach before building dashboards ✔ Clear communication and long term partnership mindset 🛠️𝗠𝘆 𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸 𝗗𝗮𝘁𝗮 𝗩𝗶𝘀𝘂𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 & 𝗕𝗜 ✔ Metabase ✔ Apache Superset ✔ Looker ✔ AWS QuickSight ✔ Tableau ✔ PowerBI 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗘𝗧𝗟 ✔ AWS Glue ✔ Python ✔ AWS ✔ AWS Lambda ✔ Airbyte ✔ Fivetran ✔ dbt ✔ Structured ETL pipelines 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 & 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲𝘀 ✔ Snowflake ✔ Amazon Redshift ✔ PostgreSQL ✔ MySQL ✔ Clickhouse ✔ Supabase 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 ✔ SQL ✔ Python 😊𝗪𝗵𝗮𝘁 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗩𝗮𝗹𝘂𝗲 “Clear understanding of marketing metrics and strong SQL expertise.” “Delivered structured ETL pipelines and reliable Metabase dashboards.” “Helped us move from manual reporting to scalable Data Engineering systems.”

With over 20 years of hands-on experience and a Master’s degree in Information Systems, I provide data strategy and technical leadership blended with full-stack execution. I specialize in AI-native data engineering practices that accelerate delivery, informed by strong architectural discipline and senior engineering judgment to ensure durable, production-grade outcomes. My work spans full-stack data execution across: * Cloud Warehouses: Snowflake, BigQuery, Redshift * Pipelines and Transformation: dbt, Airflow, Hevo, Airbyte, Glue, Fivetran, etc * Metrics and Analytics: LTV, churn, retention, ARR/MRR, cohort analysis * AI-Native Development: Cursor, Claude Code, modern LLMs, MCP-based workflows, structured AI-assisted coding

📊 Backend & Data Engineer | Expert in AWS, Python & Big Data Systems | 100% Client Satisfaction 👋 Do you need to build a backend infrastructure that doesn't just "run," but effectively processes, stores, and visualizes massive amounts of data? I help data-driven companies build robust architectures using AWS, Python, and Java, turning raw data into profitable business insights. With experience across Software Engineering and Data Pipeline Architecture, I bridge the gap between application development and data warehousing. I don't just write scripts; I build scalable engines. I work across: • Custom ETL/ELT Pipelines (Batch & Real-time streaming) • Serverless Backend Architecture (AWS Lambda, API Gateway) • Data Warehousing & Data Lakes (Redshift, BigQuery, S3) • Automating workflows with Apache Airflow & Robocorp • Visualizing business intelligence via Power BI & Looker Studio Whether you need to migrate legacy data to the Cloud, build a real-time analytics dashboard, or architect a Java/Python backend, I ensure your system is fast, cost-effective, and scalable. ✅ What I bring to your project: • Hybrid Expertise: Strong Software Engineering (Java/Python) skills applied to Big Data problems. • Cloud Mastery: Deep knowledge of the AWS Ecosystem (Glue, EMR, Athena, Kinesis). • Data Quality: Implementing dbt and rigorous testing to ensure your data is accurate. • End-to-End Delivery: From infrastructure infrastructure-as-code to the final BI Dashboard. • Communication: I translate complex engineering concepts into clear business updates. 🔥 Recent Projects I've Delivered: FinTech Data Lake: Built a secure Data Lake on AWS S3 + Redshift, processing 1TB+ daily transaction data using AWS Glue & Spark. E-Commerce Real-Time Analytics: Designed a streaming pipeline using Apache Kafka & AWS Kinesis to track user behavior in real-time, visualized in Power BI. SaaS Backend Migration: Refactored a legacy monolith into microservices using Java & AWS Lambda, reducing server costs by 40%. Marketing Automation System: Developed Python scripts utilizing Robocorp to scrape competitor pricing and auto-update internal SQL databases. Healthcare Reporting Portal: Created a compliant data warehouse in BigQuery with a Looker Studio frontend for doctors to view patient trends. 🧠 Tech Stack & Skills Languages & Backend: Python (Pandas, NumPy, Boto3), Java (Spring Boot), SQL (Advanced), Shell Scripting. Cloud & Infrastructure (AWS & Google): AWS Glue, Lambda, Kinesis, EMR, Athena, Redshift, EC2, S3, IAM, Google DataProc, BigQuery. Big Data & Orchestration: Apache Spark, Apache Kafka, Apache Airflow, dbt (Data Build Tool). Databases & Storage: PostgreSQL, MySQL, Amazon Redshift, Google BigQuery, DynamoDB. Visualization & BI: Power BI (DAX), Looker Studio, Tableau, Excel (Advanced). DevOps & Tools: Git, Docker, Jenkins, CI/CD Pipelines 🧩 Typical Use Cases I Help With: • ETL Automation: Replacing manual Excel reporting with automated Python/Airflow pipelines. • Cloud Migration: Moving on-premise SQL databases to AWS Redshift or Google BigQuery. • Backend API Development: Building APIs that serve data to frontend applications. • Data Cleaning: Using dbt and Spark to clean messy datasets for Machine Learning models. • Dashboard Creation: Building "Single Source of Truth" dashboards for CEOs and Product Managers. 🏭 Industries I've Served: FinTech · eCommerce · Logistics/Supply Chain · SaaS · Healthcare · Marketing Analytics 💬 Client Feedback ⭐⭐⭐⭐⭐ "John is a rare find—he understands the code AND the data. He automated our entire reporting process on AWS." ⭐⭐⭐⭐⭐ "Excellent communication. He built a dashboard that finally makes sense of our messy database. Highly recommended." ⭐⭐⭐⭐⭐ "Technical expert. Handled our migration from on-prem to Redshift without any data loss." 𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬: Data Engineering, Python Developer, AWS Architecture, ETL/ELT Design, Big Data Analytics, Database Administration, Business Intelligence (BI), API Development, Data Modeling, Data Warehousing, Machine Learning Integration, Real-time Data Streaming, Serverless Computing, Agile Methodologies. 🚀 Let’s Talk If you need a technical partner who can handle both the code and the data—let's connect. I will help you turn your data into your company's most valuable asset. Click ‘Invite to Job’ to start a conversation about your architecture.

I help businesses automate reporting, build reliable data pipelines, and develop machine learning solutions that turn raw data into actionable business insights. With 2+ years of experience, I've helped startups and businesses save time, eliminate manual work, and make better decisions through Python, SQL, automation, and AI-powered data solutions. Here's what I can help with 📊 Dashboards & Business Intelligence Looker Studio, Google Sheets, Excel, GA4 Google Ads & Search Console reporting CRM dashboards, KPI tracking, and executive reporting Interactive dashboards with automated refreshes ⚙️ Data Engineering & Automation Python scripting and ETL pipelines API integrations and data synchronization Workflow automation with n8n and Zapier Data cleaning, transformation, and scheduled reporting 🤖 Machine Learning & Predictive Analytics Classification and regression models Customer segmentation and churn prediction Forecasting and time-series analysis NLP and business analytics 🧠 AI & LLM Solutions OpenAI & Claude API integrations RAG pipelines AI-powered document extraction and summarization Intelligent business assistants and workflow automation 🧹 Data Preparation Cleaning messy spreadsheets and databases Combining data from multiple sources Fixing broken reports and improving data quality Preparing datasets for analytics and machine learning Why clients hire me ✔ Clean, maintainable, well-documented code ✔ Strong business understanding—not just technical implementation ✔ Clear communication and reliable project delivery ✔ Solutions built to be scalable, practical, and easy to maintain If you're looking for someone who can bridge the gap between business goals and technical execution, I'd be happy to discuss your project. --------------------------------------------------------------------------------------------------------------------- Data Scientist | Python Developer | SQL | Machine Learning Engineer | Data Analyst | Predictive Modeling | Classification | Regression | Data Cleaning | Data Visualization | Dashboarding | Looker Studio | Google Data Studio | Business Intelligence (BI) | Excel Dashboards | Google Sheets | Automation Specialist | n8n | Zapier | Python Scripts | ETL | Pandas | NumPy | Scikit-learn | NLP | Sentiment Analysis | Time Series Forecasting | ARIMA | Prophet | Streamlit

Numbers lie until you ask the right questions. Most analytics problems aren't data problems. They're architecture problems - the wrong things are being measured, the systems don't talk to each other, and leadership is making budget decisions on numbers nobody fully trusts. I fix that. I build revenue intelligence systems that connect marketing, CRM, and finance into a single source of truth. The kind of infrastructure where a CMO can see true CAC by cohort, a CFO can reconcile Stripe against HubSpot without a spreadsheet war, and an ops team can stop spending 10 hours a week pulling manual reports. Recent work includes: * Unified Populi, HubSpot, and Stripe into a single lifecycle model for a B2B education company, tracking every stage from lead to payment across 14+ cohorts * Identified fee pricing impact on applicant quality vs volume through funnel and cohort analysis, giving leadership a clear framework for a revenue-critical decision * Rebuilt attribution and acquisition tracking for an e-commerce business, exposing search term waste and reallocating spend toward higher-margin segments * Reduced manual reporting time by over 90% through automated pipelines and standardized KPI definitions across teams What I work on: Revenue architecture - CAC, LTV, cohort modeling, marketing-to-finance reconciliation Data infrastructure - BigQuery, SQL, dbt-style transformations, star schema modeling CRM & payments - HubSpot, Populi, GoHighLevel, Stripe, QuickBooks Visualization - Looker Studio, Power BI, executive KPI dashboards Automation - Python, Google Apps Script, API integrations, Google Cloud I work with SaaS, education, and e-commerce companies that have outgrown their current reporting setup and need something they can actually rely on. If you're looking for someone to build a dashboard, I'm probably not the right fit. If you need the system behind the dashboard to actually work - let's talk.