Ranked in the top 3% on Upwork globally, I’ve built trusted relationships with 80+ clients and received 60+ ⭐⭐⭐⭐⭐ reviews -- all within my first year of active use. With 14+ years of experience in Data Analytics, I operate at the intersection of strategy, analytics, and automation -- uncovering the signal behind the noise and translating it into insights leaders can act on. My work doesn’t just explain what happened; it clarifies why it matters and what to do next. As a Top Rated Plus freelancer, clients rely on me as a true thought partner, not just a technician. From Excel automation and SQL optimization to executive-level dashboards, financial models, and automated reporting systems, I design solutions that are precise, scalable, and decision-ready. Clients hire me when they need data analytics that answer questions like: • Where is our profit actually coming from? • What will revenue look like over the next 3–5 years? • Which marketing channels or business units are driving ROI? • How do we automate reporting so leadership sees the numbers instantly? My models and dashboards are designed for CFOs, founders, and executives who need confidence in their numbers. Core Expertise: ✔️Data Analytics & Engineering: Advanced SQL, Excel, SAS, and Access solutions that transform raw, fragmented data into reliable, analysis-ready assets. ✔️Statistical & Predictive Modeling: Regression, forecasting, and scenario modeling designed to support real business decisions—not academic exercises. ✔️Executive Visualization & BI: Tableau and Power BI dashboards that tell a clear story, highlight trade-offs, and drive alignment at the leadership level. ✔️AI-Driven Analytics & Automation: I embed AI directly into SQL workflows, Excel models, and financial analytics to accelerate insight delivery without sacrificing business context. My approach blends deep analytical reasoning (≈70%) with AI-powered automation (≈30%), ensuring speed and accuracy. ✔️Database & Performance Optimization: Purpose-built data structures and optimized queries that turn databases into high-performance decision engines. 💬 Client Feedback (⭐⭐⭐⭐⭐): (Recent Review from E.H.) "Subomi is the literal best, total icon!! I am genuinely grateful. I love partnering with a smart, hard, competent worker and he is just that! He is a great thought partner, beyond just someone to create models for you. I hired him for multiple projects and hired him additionally after I needed to redo work from someone who wasn't as thorough. He is extremely accurate, thorough, patient, helpful, willing to iterate, and does more than just create the models/chart/KPIs that you need - he helps you tell the story (both written and walking you through it) so you can understand all his assumptions. He makes projects better than what you would do on your own. Also, the work was so good that my bigwig private equity friend who reviewed his work was super impressed." 🌟 Let’s Build Something That Moves the Needle: If you need clarity from complexity, confidence in your numbers, or analytics that actually influence decisions, let’s talk. I don’t just deliver outputs; I deliver understanding, alignment, and results.

Data Analyst | Power BI Developer | Python & Statistical Analysis Specialist I help businesses transform raw data into actionable insights through dashboards, KPI reporting, automation, and advanced analytics. My expertise includes: • Power BI Dashboard Development • Excel Automation & Reporting • Python Data Analysis • SPSS, R and Statistical Modeling • KPI Design and Business Intelligence • Research Analytics • Data Cleaning and Visualization I focus on delivering practical, business-oriented solutions that improve decision-making and reporting efficiency.

Senior Data Engineer and AI Engineer with 15+ years in data engineering, AI engineering, and cloud data platforms. I build production data pipelines, ETL workflows, LLM and RAG systems, and machine learning infrastructure on AWS, GCP, Azure, Snowflake, Databricks, and Apache Spark. Most of my data engineering work is end to end. I take a messy data problem, or an AI feature that "almost works," and turn it into something reliable that runs in production without someone babysitting it. After 15+ years as a data engineer, you learn the hard part is rarely the model or the framework. It's the data, the edge cases, the pipelines, and keeping the system maintainable once you've handed it over. As an AI engineer I treat LLM and RAG work the same way: take a prototype that almost holds together and make it a production AI system that survives real traffic, real users, and real data. Recent data engineering and AI engineering projects: - An AI inbound phone system built on Twilio with OpenAI Whisper and GPT-4, handling real-time voice intake and call routing. - Enterprise Power BI data models for healthcare and financial reporting, around 30 tables and 40+ DAX measures, including IFRS 9 staging, RAROC, and NIM trends. - HL7 FHIR R4 integrations with Epic, Cerner, and Athenahealth for a clinical AI platform. - Cut LLM inference cost on a high-volume voice product by 25% by reworking how it used the OpenAI Realtime API and its per-turn token replay. Data engineering: Apache Spark, PySpark, dbt, Apache Airflow, ETL and ELT pipelines, data warehousing, data modeling, Snowflake, BigQuery, Redshift, Databricks, Delta Lake, Kafka, Kinesis, Fivetran. AI engineering and machine learning: OpenAI GPT-4o, Claude, Gemini, LangChain, LlamaIndex, RAG pipelines, AI agents, prompt engineering, vector search (Pinecone, Weaviate, pgvector), PyTorch, TensorFlow, scikit-learn, MLflow, model deployment. Cloud and DevOps: AWS (Glue, EMR, Lambda, Redshift, SageMaker, Athena), GCP (BigQuery, Dataflow, Vertex AI), Azure (Synapse, Data Factory, Azure ML), Terraform, Docker, Kubernetes, GitHub Actions. Automation and integration: n8n, Make, Power Automate, REST and GraphQL APIs. Governance and compliance: GDPR, HIPAA, SOC 2, RBAC, PII masking, encryption, data lineage. Languages: Python, SQL, Scala, PySpark, FastAPI, Flask. How I work: I'd rather ask the right questions up front than build the wrong thing quickly. I'll tell you when something is a bad idea, give you timelines I can keep, and leave you with code and documentation your own team can maintain. I've delivered data engineering and AI engineering projects for startups and enterprises across the US, Europe, and Asia. If you're looking to hire a data engineer or AI engineer who can own the work end to end, from raw data pipeline to production AI system, I'm available now. Tell me what you're building and I'll give you a straight answer on how I'd approach it.

I build production AI, Machine Learning, and Data Analytics systems that cut operational costs by 40%, prevent ~$2M in annual fraud losses, and turn messy enterprise data into revenue-driving Business Intelligence. Recent work includes a Machine Learning microservices platform serving 2M+ users and 100M+ daily API requests, a multilingual AI Agent handling 15,000+ daily messages with a 20-point NPS lift, and a RAG-powered AI Chatbot embedded in production web apps that drove a 42% conversion rate increase. I work end-to-end across Generative AI, LLM Engineering, AI Agent Development, AI Automation, Data Science, Data Engineering, ETL Pipelines, MLOps, and executive Dashboards in Power BI, Tableau, Looker Studio, and Google Analytics 4. The teams I work best with have data and ambition but no roadmap to ship AI in production without breaking compliance, scale, or budget. What I build: • GPT and Claude-powered AI Chatbot Development, AI Agent Development, and LLM Integration using OpenAI API, Anthropic Claude API, Google Gemini, LangChain, LlamaIndex, and RAG with Pinecone, Weaviate, and Chroma vector databases • Machine Learning and Deep Learning models for fraud detection, demand forecasting, customer segmentation, recommendation engines, and NLP • ETL Pipelines and Data Engineering on Google BigQuery, Snowflake, Databricks, AWS, Azure, and SQL • Power BI Dashboards, Looker Studio Reports, Tableau Visualizations, and full Google Analytics 4 implementation • Python Automation, Web Scraping, API Integration, and AI Workflow Automation for scalable business processes Selected results in AI, Generative AI, and Machine Learning: • GPT-powered AI Chatbot reduced support tickets 50% in one quarter • Machine Learning microservices platform serving 2M+ users and 100M+ daily API requests • Multilingual AI Agent handling 15,000+ daily messages, lifting NPS 20 points • Deep Learning fraud detection model cut false positives 40%, preventing ~$2M in annual losses • Predictive inventory AI decreased stockouts 30% and real-time customer segmentation lifted conversion 28% • NLP-based ticket triage automation improved first-response efficiency 65% • RAG-powered AI Chatbot embedded in web apps improved conversion 42% • Real-time AI Call Center Assistant cut average handle time 35% and lifted first-call resolution 22% • Predictive AI for cell tower failures reduced emergency dispatches and improved network uptime Selected results in Data Engineering and ETL: • Migrated Data Engineering stack to Google BigQuery: 60% faster queries, 25% lower storage costs • Standardized ETL Pipelines for Data Mining and Data Annotation, increasing ML training throughput • Built feature stores and reproducible MLOps training pipelines that accelerated ML iteration • Self-correcting Data Analysis pipeline reduced reporting errors 95% • Python competitive monitoring system mining 150+ sources daily into Google Sheets and BigQuery • SQL clustering and replication deployed for 99.99% uptime on mission-critical apps Selected results in Dashboards and Business Intelligence: • Looker Studio Dashboard suite reduced delivery delays 15% • Marketing Analytics Dashboards unifying paid media, web, and CRM data in Power BI and Looker Studio • C-level KPI Dashboard pack (SQL + Google Analytics 4 + Excel) accelerating weekly decisions • Server-side Google Tag Manager implementation significantly improved GA4 accuracy • Pricing optimization engines lifted profit margins 17% • Self-serve Analytics portal with NLQ-powered Power BI reduced ad-hoc requests 55% • JavaScript bridge syncing legacy Excel models with cloud databases, saving 20 hours per week Beyond implementation, I run AI Readiness Audits for executive teams that have invested in data infrastructure but not yet seen ROI, identifying high-impact AI Agent Development and Machine Learning opportunities and translating them into a 90-day rollout plan with clear success metrics and risk gates. Tech stack: Python, SQL, JavaScript, TypeScript, AWS, Google Cloud, Azure, BigQuery, Snowflake, Databricks, dbt, Airflow, Power BI, Tableau, Looker Studio, GA4, Google Tag Manager, Excel, OpenAI API, Anthropic Claude API, Google Gemini, LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch, scikit-learn, Machine Learning, Deep Learning, Generative AI, LLM Engineering, MLOps, NLP, ETL Pipelines, Data Mining, Data Annotation, Data Visualization, AI Integration, AI Automation, AI Agent Development, AI Chatbot Development, RAG, and Vector Databases (Pinecone, Weaviate, Chroma). Share your data sources, target metrics, and timeline. I will reply within 24 hours with a practical rollout plan covering ETL Pipeline through to production AI Integration, plus a short list of risks I see before we start. I work as a strategic partner on production AI and Data systems, not a ticket-taker.

⭐⭐⭐⭐⭐ 5.0/5.0 Ex-Amazon, Ex-Adobe Top 1% Expert-Vetted on Upwork —. 150+ AI projects shipped at 5/5 stars and 100% Job Success. Advisor to venture-funded AI startups. I architect production LLM agents, RAG systems, and voice AI for teams that need senior thinking and staffing. 𝗪𝗛𝗔𝗧 𝗜 𝗗𝗘𝗦𝗜𝗚𝗡 ✅ Multi-agent systems on LangGraph, OpenAI Agents SDK, and Google ADK — with MCP and A2A interop for tool use, memory, and cross-framework orchestration ✅ Production RAG with hybrid search, Voyage rerank-2.5 / Cohere Rerank v3.5, agentic retrieval, citation enforcement, and RAGAS evaluation ✅ Voice AI agents on LiveKit Agents + Pipecat with Deepgram Nova-3, Cartesia Sonic-3, ElevenLabs Flash v2.5 — sub-300ms end-to-end latency ✅ LLM fine-tuning and adapter training (LoRA, QLoRA, DoRA) with Unsloth, Axolotl, TRL on Llama 4, Qwen3, Mistral, DeepSeek ✅ Time-series and forecasting systems (TimeGPT, PatchTST, Prophet) for trading, demand, and operations ✅ Computer vision and generative imaging/video (SAM 3, YOLO26, Flux, Veo 3.1, Kling 3.0, Runway Gen-4.5) 𝟮𝟬𝟮𝟲 𝗦𝗧𝗔𝗖𝗞 GPT-5.5, Claude Opus 4.7 / Sonnet 4.6, Gemini 3 Pro, Llama 4, DeepSeek V3.2 · LangGraph, OpenAI Agents SDK, Google ADK, Pydantic AI, DSPy · LlamaIndex, Haystack · pgvector, Qdrant, Pinecone, Weaviate, Milvus · LangSmith, LangFuse, Arize Phoenix · vLLM, SGLang for self-hosted inference · AWS Bedrock, Azure AI Foundry, Vertex AI · Python, FastAPI, Node.js, TypeScript, Next.js · MCP servers and A2A agent communication 𝗕𝗘𝗬𝗢𝗡𝗗 𝗧𝗛𝗘 𝗖𝗢𝗗𝗘 I bring senior product and people leadership — having managed engineering organizations approaching a thousand people and led products from idea to end-of-life. I speak on AI and entrepreneurship at conferences and podcasts, and advise venture-funded AI startups on architecture, hiring, and go-to-market. 𝗖𝗥𝗘𝗗𝗘𝗡𝗧𝗜𝗔𝗟𝗦 ▸ Top 1% on Upwork — Expert-Vetted, Top Rated Plus, 100% Job Success Score ▸ 150+ AI projects shipped at 5/5 stars ▸ Ex-Amazon, Ex-Adobe, Ex-Accenture ▸ Mentor and advisor at multiple venture-funded AI startups ▸ Speaker and panelist on AI and entrepreneurship ▸ Founding partner at a boutique AI engineering studio — Frankfurt and US team 𝗛𝗢𝗪 𝗜 𝗪𝗢𝗥𝗞 Senior engineering and architecture only. Engagements typically begin with a paid 1–2 week discovery sprint to scope architecture, model selection, and milestones — then fixed-scope delivery with weekly demos. I work async-friendly across EU and US time zones and turn down work that doesn't merit senior attention. If you're shipping AI to production and need an architect who's done it 150+ times, message me with what you're building.

I am consultant having 12+ years of extensive experience in Machine Learning, Big Data, AWS and .NET. I have also done master in Artificial Intelligence hence I have deep expertise in utilizing Big Data, ML and AI algorithms or improving and developing new Data-driven and AI-based applications. Please review my LinkedIn profile if you want to know more about me.

- 6 years of PYTHON - 4 years on AI - 3 years on CHAT BOT [ RASA| GPT-2&3 | DialoGPT | Dialogflow | Amazon Lex - 3 years on open cv and image/ object detection [ tensorflow - 2 years on NLP and NER - 2 years of experience in GOOGLE CLOUD [ vertex AI | Cloud Run | Cloud Build | Compute engine | Pub Sub - Proficiency in SQL & NoSQL databases. - Hard worker and available around the clock.

MOST AI AND BI INITIATIVES FAIL because the underlying data foundation is broken. I am an Expert-Vetted Principal Architect (Top 1%) and 15x US Patent Holder who builds "Agentic" data foundations. I specialize in turning multi-source chaos into a Single Source of Truth that doesn't just report data, it reasons over it. My latest build, AgentMaestro, achieved 97% accuracy in the volatile Miami Real Estate market by replacing legacy "Black Box" ML with a "Two-Brain" Reasoning Architecture. I HELP AMBITIOUS ORGANIZATIONS SOLVE THREE CRITICAL PROBLEMS: 1. COST & LATENCY: I re-engineer legacy warehouses using Dataform and modern ELT logic to reduce cloud bills by 30%+ while achieving sub-2-second dashboard latency. 2. DATA INTEGRITY & ATTRIBUTION: I unify fragmented silos (Shopify, Meta, CRM, GTM/CAPI) into high-integrity Customer Data Platforms (CDP) to provide 100% visibility into ROI and Attribution. 3. REASONING-AS-A-SERVICE (RaaS): I move beyond simple "predictive modeling" into Agentic AI. I deploy LLM-driven reasoning engines (Vertex AI) that provide "Glass Box" audit trails for high-stakes decision-making. THE "MAESTRO" DIFFERENCE: I am not a "task-taker." I am a strategic partner who owns the entire data lifecycle. I design the proprietary logic that ensures your data is an asset, not a liability. Let's connect to architect your Single Source of Truth. CERTIFICATIONS - Google Cloud Professional Data Engineer - Google Cloud Professional Machine Learning Engineer - Google Data Analytics Professional - Google Business Intelligence Professional SKILLS Cloud Platforms: - Google Cloud Platform (GCP) Data Warehousing & Big Data: - BigQuery - BigLake - PostgreSQL - MySQL - SqlServer Data Modeling: - Dataform - dbt Machine Learning & AI: - BigQueryML - Vertex AI - TensorFlow - H2O - Caret - Scikit-learn - ML Model Development & Deployment Business Intelligence & Visualization: - Looker - Looker Studio - Google Sheets - Apache Superset - Airtable Programming Languages: - SQL - R - Python Data Engineering ELT & ETL: - Dataflow - Cloud Pub/Sub - Data Pipelines - Dataform - Cloud Functions. Ecommerce Platforms: - Shopify Data Science: - Predictive Analytics - Customer Segmentation - Data Mining - Statistical Analysis - RFM Analysis - Contribution Analysis - LTV - Time series forecasting - Recommender Systems

7 year data experienced professional at finance, health, tech, consulting and banking experience. A challenge and problem solving driven professional and have always had as a goal the fusion of data technology and capital markets. Pursuing to contribute and grow within a fast-paced environment on innovative projects. Currently Senior Data Platform Engineer and finishing master’s degree in Computer Science at UFMG. Projects: Throughout my career, I've been involved in many exciting projects, such as developing GAN and binary investment robots for investment algorithms, reconciling financial data for large companies, and statistically analyzing stock trading volume using Google Trends. My projects demonstrate my ability to combine AI models, quantitative analytics and financial expertise to gain data-driven insights. Skills: I have diverse skills in programming languages such as Python, Javascript, R, C/C++, SQL, Typescript, Scala and VBA. I have hands-on experience with various databases such as SQL Server, PostgreSQL, DB2, MySQL, MongoDB, Google Big Query, Oracle, AWS and Microsoft SSIS. In addition, I have knowledge in data visualization tools, such as Shiny, Matplot, Tableau, PowerBI and Google DataStudio. Languages: I am a native Portuguese speaker and proficient in English and Spanish, which enables efficient communication with international teams.

🧐𝗪𝗵𝗮𝘁 𝗶𝗳 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗰𝗼𝘂𝗹𝗱 𝗮𝗻𝘀𝘄𝗲𝗿 𝘆𝗼𝘂𝗿 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝘀𝗲𝗰𝗼𝗻𝗱𝘀 𝗶𝗻𝘀𝘁𝗲𝗮𝗱 𝗼𝗳 𝗵𝗼𝘂𝗿𝘀? That's exactly what I help businesses achieve. With 8+ years of experience, I build interactive Power BI, Looker Studio, and Tableau dashboards that turn scattered data into clear insights. From executive KPI dashboards to automated business reports, I help teams spend less time creating reports and more time making decisions. 𝗪𝗵𝗮𝘁 𝗜 𝗖𝗮𝗻 𝗛𝗲𝗹𝗽 𝗬𝗼𝘂 𝗪𝗶𝘁𝗵 • Power BI Dashboards • Looker Studio Reports • Tableau Dashboards • Executive & KPI Dashboards • Business Intelligence • Data Visualization • DAX & Power Query • SQL & Excel Reporting • Automated Reporting 𝗪𝗵𝘆 𝗨𝗽𝘄𝗼𝗿𝗸 𝗖𝗹𝗶𝗲𝗻𝘁𝘀 𝗪𝗼𝗿𝗸 𝗪𝗶𝘁𝗵 𝗠𝗲 ✔ Quick Response ✔ Interactive dashboards that are easy to understand ✔ Automated reporting that saves valuable time ✔ Clean, modern, and business-focused visualizations ✔ Accurate KPI tracking and actionable insights ✔ Reliable communication and on-time delivery 𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 ↩↩ E-Commerce • Finance • Healthcare • Marketing • Retail • SaaS • Logistics Whether you're tracking sales, finance, marketing, operations, or business performance, I'll build a dashboard that's tailored to your goals, not just another report. Send me a message or invite me to your project, and let's discuss how we can turn your data into decisions that drive real business growth.