I’m a Data Science Consultant with a passion for turning raw data into clear, actionable insights. With 5+ years in machine learning, predictive analytics, and data visualization, I use Python, Tableau, Power BI, and SQL to create intuitive dashboards and models for retail, tech, and healthcare clients. My work has improved decision-making, boosting efficiency by 15–30%. Certified in Google Data Analytics, I blend AI tools with strategic consulting to deliver ethical, high-impact solutions. Let’s unlock your data’s potential—contact me today! 🌟 Key Skills: Data Visualization, Machine Learning, Predictive Modeling, Python, SQL, Tableau, Power BI 🌟 Industries: Retail, Tech, Healthcare 🌟 Achievements: Designed a dashboard saving 10 hours/week; predicted customer churn with 85% accuracy 🌟 Certifications: Google Data Analytics Professional, Tableau Desktop Specialist

🏆 Top Rated AI Expert | Scalable LLM, RAG & Voice AI | Data & BI ⭐ Most AI projects die between demo and production. I deliver production-ready solutions with honest scoping before budget moves. I don't just build models; I build systems that scale, secure, and save costs. 💬 HOW I WORK Free 30-minute consultation: I map out how AI applies to your workflow, prioritizing process simplification over immediate automation. Cost-Control Architecture: I prevent token costs from scaling using rolling summaries, model routing, prompt caching, and server-side daily usage limits. Quality Guarantee: Industrial-grade code, fully documented. Bugs in delivered scope fixed at no extra cost. Milestone Validation: You review and approve each milestone before payment releases. Transparent Communication: Weekly updates and clear progress tracking throughout the project. LIVE DEMOS & PORTFOLIO Access credentials available via direct message or Upwork Portfolio section. Document AI (RAG): Instant answers from PDFs, contracts, and manuals with source citations. Conversational Voice AI: 24/7 call handling, scheduling, and CRM sync. AI Stock Analysis: Automated summaries and investment recommendations. Clinical Trial Matching: HIPAA-compliant patient data deidentification and trial matching. Computer Vision: Defect grading, object detection, and floor plan measurement. Synthetic Data: Scalable data generation for testing and training. Lead Intelligence: Agentic workflows for lead qualification and outreach. 💬 Send the use case, get a straight read: feasible or not, how long, what it costs. Then it is built to criteria you approve. 🔧 SERVICES | Production Ready AI, Built and Shipped for Startups & Enterprises Voice AI & Conversational Agents: 24/7 call handling, appointment booking, CRM sync, and seamless human handoff. Low-latency pipelines with context retention. (Vapi, Retell, Twilio, ElevenLabs, Deepgram). AI Agents & Automation: Connect CRM, spreadsheets, and tools into autonomous workflows. Agents verify identity before booking/refunding. (n8n, Make, LangChain, CrewAI). Generative AI & LLM Apps: Custom chatbots for web/Slack/WhatsApp that stay on your data and return clean JSON. Guardrails prevent hallucinations. (OpenAI, Claude, Llama, FastAPI). RAG & Enterprise Search: Chat with PDFs/contracts with source citations; accurate search past 1.5M documents. Hybrid search with re-ranking. (LlamaIndex, pgvector, Elasticsearch). NLP, OCR & Document Intelligence: Extract data from invoices/contracts into Excel/CSV/JSON. Low-confidence values flagged for review. (Google Doc AI, Tesseract, spaCy). Data Pipelines: Automated scraping, cleaning, and organization of files (including SEC EDGAR/SEDAR). Scheduled pipelines with duplicate removal. (Python, Airflow, Scrapy). Business Intelligence & Analytics: Dashboards, KPI tracking, and automated reporting. Turn raw data into actionable insights with clear visualizations. (Power BI, Tableau, Looker, SQL, dbt). Machine Learning: Forecasting, churn prediction, fraud detection. Trained on messy real data with actionable benchmark reports. (Scikit-Learn, XGBoost, R). Healthcare & Clinical AI: Patient data deidentification, lab code mapping, trial matching. HIPAA-compliant deployment. (i2b2, OMOP, SQL). Computer Vision: Object detection, defect grading, image similarity. Models trained on real-world images for live feeds. (YOLO, PyTorch, OpenCV). Generative AI & Media: AI avatar/video at scale (spreadsheet + script → finished video). Consistent character identity and lip sync. (Synthesia, Tavus, Stable Diffusion). 🛠️ TECH STACK Core: Python, JavaScript, TypeScript, React, Node.js, SQL, R, Docker, AWS, Azure, GCP, Kubernetes. LLMs & Agents: GPT-4, MCP, AutoGen, Amazon Bedrock, Ollama, Gemini, DeepSeek, Groq, Qwen, Semantic Kernel. RAG & Search: Pinecone, Weaviate, ChromaDB, Haystack, BM25, RAGAS, OpenAI Embeddings, pgvector. Voice AI: ASR, WebRTC, GoHighLevel, LiveKit, Amazon Polly, Azure Speech. NLP & Document AI: NLTK, Sentence Transformers, PaddleOCR, RoBERTa, DeBERTa, T5, LayoutLM, PyMuPDF, GLiNER. Vision & Deep Learning: TensorFlow, Keras, Roboflow, Ultralytics, MediaPipe, Detectron2, ONNX, PEFT, LoRA, QLoRA. ML & Data: PostgreSQL, SQL Server, BigQuery, Snowflake, Databricks, Apache Spark, Kafka, ETL, pandas, NumPy, dbt. Business Intelligence: Power BI, Tableau, Looker, Metabase, Superset, D3.js. MLOps & Cloud: SageMaker, MLflow, GitHub Actions, CI/CD, Vertex AI, vLLM, Triton. Full Stack & Automation: Django, Flask, Redis, REST API, GraphQL, MongoDB, Next.js, Zapier, Streamlit, Gradio, Supabase, Vercel, Celery, FastAPI.

I'm a Results-driven Data Engineer with expertise in Business Intelligence (BI) and Data Visualization. Proven track record of leveraging data to drive strategic decision-making and optimize business processes. I have technical skills in data extraction, transformation, and loading (ETL), database management, and data visualization tools. Adept at collaborating with cross-functional teams to deliver innovative data solutions. Committed to continuous learning and staying up-to-date with emerging trends in the field of data engineering and analytics.

✅ 12+ years of experience ✅ 80+ projects delivered in life ✅ Excelling in delivering Fortune 500-scale projects 🕒 65+ hours on Upwork Data Maestro: Elevating Businesses with 12 Years of Expertise in BI and Data Science | Python, Power BI, Tableau | Unleashing the Power of Data Management, Predictive Modeling, and Advanced SQL

𝐈 𝐬𝐡𝐢𝐩 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐒𝐚𝐚𝐒 𝐭𝐡𝐚𝐭 𝐬𝐜𝐚𝐥𝐞𝐬 - 𝐧𝐨𝐭 𝐣𝐮𝐬𝐭 𝐯𝐢𝐛𝐞 𝐜𝐨𝐝𝐞. 👉 Hit "Invite to Job" and let's discuss the best solution for your project. 🏅 Top 3% on Upwork • 100% Job Success • 7+ Years of Experience 💼 Trusted by Sony PlayStation, YC-backed startups, and companies that have raised $4.2M+ in funding. I help businesses turn 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐢𝐧𝐭𝐨 𝐫𝐞𝐚𝐥, 𝐫𝐞𝐯𝐞𝐧𝐮𝐞-𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐧𝐠 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐧𝐨𝐭 𝐝𝐞𝐦𝐨𝐬. My focus is building scalable, secure, production-ready AI products: intelligent agents, LLM-powered applications, RAG pipelines, and voice AI systems that plug directly into your existing business processes and generate measurable ROI. Most AI freelancers stop at the model. I build the entire product around it backend, dashboard, authentication, billing, permissions, logging, human review, and deployment so what you get is a system your team can actually run, not a prototype that dies after the demo. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝: AI Agents & Multi-Agent Systems: Autonomous and multi-agent workflows using LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, and OpenAI Swarm/Assistants API, integrated with MCP for tool-connected agents that automate customer service, data processing, and internal operations. Voice AI Agents: Inbound/outbound voice agents that answer calls, qualify leads, book appointments, recover missed calls, and log everything to your CRM built with Vapi, Retell AI, Bland AI, Synthflow, LiveKit, Pipecat, Twilio, Deepgram, ElevenLabs, Whisper, and OpenAI Realtime API. RAG & Document AI: Retrieval-Augmented Generation systems for source-grounded, hallucination-resistant answers OCR, extraction, citations, and human-review queues using LangChain, LlamaIndex, Haystack, GraphRAG, and vector databases including Pinecone, Weaviate, Qdrant, Milvus, ChromaDB, FAISS, and pgvector. LLM Integration & Fine-Tuning: Custom LLM solutions across closed models (GPT-4o, o1, o3, Claude, Gemini, Amazon Bedrock, Cohere) and open-source models (LLaMA 3, Mistral 7B, Mixtral 8x7B, Qwen, DeepSeek, Phi-3, Falcon, Gemma), with fine-tuning via PEFT, LoRA, QLoRA, RLHF, DPO, ORPO, and SFT using Unsloth, Axolotl, HuggingFace AutoTrain, and SageMaker. Inference optimization with vLLM, TGI, TensorRT-LLM, Ollama, llama.cpp, and Groq, plus quantization (AWQ, GPTQ, GGUF, GGML, bitsandbytes) for cost-efficient deployment. Workflow Automation: End-to-end automation of follow-ups, data entry, reporting, and document handling, connecting disparate systems via API integrations and no-code/low-code tools like n8n, Make, Zapier AI, Flowise, LangFlow, and StackAI. AI SaaS & MVP Development: Full product builds from idea to deployed system authentication, billing, dashboards, and the AI layer fully integrated and ready to hand off. I also take on rescue projects: refactoring, hardening, and shipping half-built MVPs that stalled with a previous developer. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤: 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬 & 𝐅𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬: Python, FastAPI, Django, Flask, Node.js, Express.js, Nest.js, TypeScript, React.js, Next.js, Vue.js, Nuxt.js, React Native, Redux Toolkit, Tailwind CSS, HTML5, CSS3 𝐀𝐈/𝐌𝐋 𝐓𝐨𝐨𝐥𝐢𝐧𝐠: LangChain, LangGraph, LangServe, LangSmith, LlamaIndex, HuggingFace Transformers, PyTorch, TensorFlow, scikit-learn, sentence-transformers, Ragas, DeepEval, Langfuse, TruLens, Weights & Biases 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬: PostgreSQL, MySQL, MongoDB, Firebase, Firestore, Redis 𝐈𝐧𝐟𝐫𝐚𝐬𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞 & 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭: Docker, Kubernetes, AWS (EC2, Lambda, S3, SageMaker), GCP, Azure, RunPod, Modal, Replicate, BentoML, Vercel AI SDK, Nginx 𝐎𝐭𝐡𝐞𝐫: REST & GraphQL API design, Celery task queues, Pytest/Unittest, Selenium, synthetic dataset generation, LLM evaluation frameworks, Stable Diffusion, DALL-E, Flux, GPT-4 Vision 𝐖𝐡𝐲 𝐂𝐥𝐢𝐞𝐧𝐭𝐬 𝐖𝐨𝐫𝐤 𝐖𝐢𝐭𝐡 𝐌𝐞: Strategic alignment: every system I build is tied to a measurable business outcome, not just technical novelty. Up-to-date expertise: I actively track and apply the latest developments in LLMs, AI evaluation methods, RAG architecture, and agent frameworks rather than relying on outdated patterns. Built to scale and to last: every deliverable is designed with security, reliability, and enterprise-grade workloads in mind from day one. Clear scoping: I scope the first milestone realistically, build it without overengineering, and ship something you can actually use and iterate on. If you need AI added to an existing product, a workflow automated end-to-end, a voice agent handling your calls, or an MVP taken from idea to deployment, I'm ready to scope the project and get started.

Working at one of the fastest growing fintech startups based in New Zealand, looking for additional projects and side hustles to accelerate my career even faster. BUT this ain't just about me and my career, it's about the job that you need to get done. that's why you're reading this. Great with SQL, even better with Python, and probably one of the fastest domain knowledge learners out there making me suitable for all kinds of freelance projects. You can always count on me to have good communication and great response times.

Your data is full of decisions waiting to happen. I make sure you can see them. I work with SaaS and mobile app teams who need answers their dashboards can't give them. - Why users churn at week 3. - Which feature actually drives retention. - Which acquisition channel brings the highest LTV. - Which cohort is hiding the real growth story. I run that work end to end. Mixpanel and PostHog implementation Event taxonomy and tracking plans Cohort and funnel analysis Retention curves and LTV models Python pipelines that pull data from wherever your team stores it WHAT CLIENTS HAVE ACTUALLY SAID "Achieved goals quickly and efficiently. 10/10." "Helped us understand our customers better and identified areas for company growth." "The sales dashboard is fantastic. Finished it in just one day." 7 years in analytics. 100% Job Success on Upwork. Currently completing my MS in Data Science at University of Regensburg, Germany. If your product team is making decisions on gut instead of cohort data, send a message. First call is free. You leave with 2 things you should be tracking that you currently aren't.

Hi, As a seasoned data engineering professional, I have successfully spearheaded multiple high-impact projects across various domains, utilizing a comprehensive array of technologies to enhance data processing, integration, and business analytics. My expertise spans from creating robust data platforms to optimizing data-driven decision-making processes. Technologies Expertise: Data Platforms and Tools: Extensively experienced with Snowflake, including advanced features like Snowpark, SnowSQL, and Snowpipe. Proficient in leveraging ETL tools such as Talend, Informatica, DBT, and Matillion, and integrating systems like Amplitude and SFMC for comprehensive marketing insights. Programming and Analytics: Advanced proficiency in Python, utilizing libraries such as PySpark, NumPy, and pandas for data analysis and machine learning. Skilled in managing cloud environments and tools across GCP, Azure, and AWS, facilitating seamless data operations and scalability. Database and API Management: Expert in managing SQL Server, Oracle databases, and designing RESTful APIs, transitioning legacy systems to modern, scalable architectures. Work Contributions: Data Integration and Pipeline Design: Successfully designed and implemented data pipelines that collect, cleanse, and merge data from diverse sources, ensuring unified and analytics-ready datasets. My work includes setting up enterprise-level data fetching from platforms like Outlook, Google Ads, and LinkedIn, enhancing data accessibility and utility. Cloud Migration and Automation: Led the migration of data infrastructure from on-premises to cloud-native solutions, significantly reducing overhead and improving data agility. Automated data workflows using AWS services, optimizing operational efficiency and response times. API Development and System Upgrades: Transitioned from WCF SOAP-based services to modern REST APIs, improving system interoperability and performance. My approach focuses on thorough analysis and testing, ensuring robust implementations. Business Impact: Enhanced Data Utilization: My projects have consistently enabled deeper insights into customer behaviors and preferences, facilitating personalized marketing strategies that significantly boost return on investment. Operational Excellence and Growth: Through strategic migrations to cloud-native data systems and by optimizing data pipelines, I have empowered businesses to scale operations and explore new growth avenues effectively. These transformations have led to improved data handling capabilities and cost efficiencies. Strengthened Client Relationships: My focus on collaborative project execution and stakeholder engagement has helped organizations maintain and expand their client bases. By providing actionable insights and reliable data solutions, I have assisted companies in understanding and leveraging their data to outperform competition and achieve strategic goals. This blend of technical acumen, strategic implementation, and impactful results demonstrates my capability to deliver superior data engineering solutions that meet and exceed business needs. I am dedicated to bringing the same level of excellence and innovation to your projects, ensuring that your organizational objectives are achieved efficiently and effectively. Thanks.

Founders bring me Supabase backends and AI generated prototypes that work in demos but break under real users. I turn them into production systems with secure multi tenant RLS, working billing, clean migrations, and tests the next developer can trust. I also review Supabase builds before launch. Recent client: "Rare at any price point." I specialize in the backend layer most full stack generalists avoid: multi tenant row level security, complex PostGIS schemas, and the production hardening that makes a codebase safe to hand to the next developer. I also run my own SaaS that processes 1M+ property listings nightly, so I build around founder constraints, not just engineering ideals. On my current education platform contract I act as technical lead across a multi contractor team: I make the schema calls, define the API contracts the other developers build against, and review their work before it ships. What I deliver: • Launch audits and code reviews. Ranked findings with file and line references and the smallest practical fix for each. One $1,800 review turned into a $3,000 build. • Supabase and Postgres architecture. Migrations, triggers, RLS policies, schema cleanup, multi tenant isolation. • Stripe subscriptions. Webhooks, billing state sync, access control tied to subscription status. • Next.js App Router. Server actions, route handlers, API integration, frontend wiring. • AI features that ship. OpenAI and Claude integration, RAG pipelines, evals, guardrails. • PostGIS and spatial data. Location based schemas, GIS queries, Mapbox integration. • Team integration. I slot in alongside your existing developers, automation contractors, and vendors, and I review code as carefully as I write it. • Production handoff. Passing test suites, documented migrations, docs the next dev can follow. Recent Upwork work, all 5.0: • $9,550 fixed price production backend for a workforce analytics SaaS • Municipal GIS platform: 107 row level security policies enforcing per town isolation, Mapbox field mapping, Playwright test coverage. "Honestly one of the best freelancers I've worked with." • 72 table PostGIS schema with RLS on all 72 tables and 189 indexes, delivered ahead of deadline • Backend package: 18 SQL migrations, 14 Edge Functions, 257 passing SQL tests • Education platform, in progress: Stripe billing, Vimeo gated lessons, bulk school enrollment, technical lead across the client's contractor team Top Rated Plus on Upwork. 5.0 across every contract, $44,000+ earned. I'm best for founders who have a real product or a messy build and need it secure, scalable, and ready for customers. I work async by default: GitHub PRs with context, honest timelines, same day responses during working hours. Send a message and I'll reply within a few hours.

🧠 𝗜 𝗯𝗿𝗶𝗱𝗴𝗲 𝘁𝗵𝗲 𝗴𝗮𝗽 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗰𝘂𝘁𝘁𝗶𝗻𝗴-𝗲𝗱𝗴𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗮𝗻𝗱 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲-𝗚𝗿𝗮𝗱𝗲 𝗿𝗲𝗹𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆. I am not just a developer; I am a 𝙎𝙚𝙣𝙞𝙤𝙧 𝘼𝙄 𝘼𝙧𝙘𝙝𝙞𝙩𝙚𝙘𝙩 𝙖𝙣𝙙 𝙛𝙤𝙧𝙢𝙚𝙧 𝙋𝙬𝘾 𝘿𝙞𝙧𝙚𝙘𝙩𝙤𝙧 with over 12 years of experience leading data science teams and delivering complex machine learning solutions for Fortune 500 clients, Federal agencies, and startups. If you are looking to build scalable AI systems, integrate LLMs into your business processes, or require high-level strategy to navigate the AI landscape, I bring the rigorous standards of Big 4 consulting combined with the agility of a technical founder. 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐫𝐢𝐧𝐠 𝐭𝐨 𝐘𝐨𝐮𝐫 𝐏𝐫𝐨𝐣𝐞𝐜𝐭: - Executive-Level Expertise: As a former Director of AI & Analytics at PwC, I understand how to align technical code with business KPIs. I don't just build models; I build solutions that drive revenue and efficiency. - Deep GenAI & LLM Mastery: Expertise in RAG (Retrieval-Augmented Generation), Prompt Engineering, Fine-tuning, and Agent-based workflows using OpenAI, Anthropic, and open-source models. - Full-Spectrum Data Science: My background spans the entire data lifecycle-from complex ETL and Data Engineering (SQL/NoSQL) to advanced Deep Learning, NLP, and Graph Theory. - Academic Rigor: With a background from Carnegie Mellon University (CMU) and experience as an Adjunct Professor, my work is grounded in solid mathematical and architectural principles. 𝐂𝐨𝐫𝐞 𝐂𝐨𝐦𝐩𝐞𝐭𝐞𝐧𝐜𝐢𝐞𝐬 & 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: 🚀 Generative AI & LLM Integration - Building custom RAG pipelines to let AI chat with your company data. - AI Agents and automation workflows (LangChain, AutoGPT). - Fine-tuning LLMs for specific industry verticals. 🤖 Advanced Machine Learning & NLP - Natural Language Processing (Entity Recognition, Sentiment Analysis, Topic Modeling). - Deep Learning (RNNs, LSTMs, CNNs) for complex prediction tasks. - Recommendation Systems (Collaborative Filtering, Graph-based similarity). 📊 Data Strategy & MLOps Designing scalable AI architecture. Auditing existing codebases for efficiency and scalability. Translating vague business requirements into technical roadmaps. 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤: AI/ML: Python, TensorFlow, PyTorch, Keras, Scikit-Learn, Spacy, LangChain, OpenAI API, Hugging Face. Data Engineering: Pandas, NumPy, SQL, Graph Databases (Neo4j), Vector Databases (Pinecone, Milvus). Visualization & BI: Tableau, PowerBI, D3.js, Jupyter. Backend & Deployment: Docker, AWS, Azure, Flask/FastAPI. 𝙒𝙝𝙮 𝘾𝙝𝙤𝙤𝙨𝙚 𝙈𝙚? Most freelancers can write a script. I engineer systems. My career has been built on solving the "impossible" problems for massive organizations like the Federal Reserve, HP, and major healthcare providers. Whether you are a startup needing a technically sound MVP or an enterprise needing a complete AI overhaul, I deliver code that is clean, documented, and production-ready. 𝗟𝗲𝘁’𝘀 𝗱𝗶𝘀𝗰𝘂𝘀𝘀 𝗵𝗼𝘄 𝘄𝗲 𝗰𝗮𝗻 𝗹𝗲𝘃𝗲𝗿𝗮𝗴𝗲 𝗔𝗜 𝘁𝗼 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺 𝘆𝗼𝘂𝗿 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀.