I build AI-powered dashboards, data applications, and automated reporting solutions using Power BI and Python. By combining business intelligence with modern AI tools such as ChatGPT, Claude, and LLM APIs, I help businesses transform raw data into actionable insights, automate repetitive workflows, and make faster decisions.

Most companies sitting on years of operational data still can't answer their most important questions: What will fail next? Where are we losing money? What should we do differently? I build the AI and ML systems that answer those questions — reliably, in production, not just in demos. I'm a PhD-trained Senior Applied AI & Data Scientist with 10+ years of experience translating messy, fragmented, domain-specific data into working decision-support systems. My background spans industrial operations, healthcare, agriculture, retail, and oil & gas — environments where the data is imperfect, the stakes are real, and generic solutions don't work. I have delivered production-ready AI/ML systems across several domains: - Retail security: anomaly-detection logic for security gate systems in large retail environments - Agriculture: greenhouse sensor analytics and ML-based decision-support for tomato production optimization - Oil & gas: production analytics, decline-curve interpretation, geospatial analysis, and forecasting dashboards - Healthcare: claims analytics, patient population classification, risk grouping, and payment workflow automation - Travel & pricing: recommendation systems, demand analysis, and personalized pricing automation - Research: peer-reviewed AI/ML and NLP publications, university-level collaboration What I typically build: - Predictive models and forecasting systems for operational and business decisions - Anomaly detection and risk scoring pipelines - Time-series and sensor data analysis - Explainable AI workflows with interpretable outputs for non-technical stakeholders - End-to-end ML proof-of-concepts and production-ready solutions for startups and enterprise teams I work best with clients who have a real business or engineering problem and need someone who can navigate unclear requirements, imperfect data, and domain complexity — and deliver something that actually works.

As an ardent advocate at the forefront of Machine Learning and Data Science, I thrive on the leading edge of Generative AI 🧠 and optimization models. My journey in this dynamic arena is propelled by an unwavering commitment to innovation, shaping data products that transcend conventional boundaries and exceed business benchmarks. My greatest strength lies in the integration of automation 🤖, machine learning, and data science principles, meticulously tailored to address real-world business imperatives. I don't just deliver solutions; I devise game-changing strategies that catapult businesses ahead of their competitors 🚀. With my expertise, data becomes an indispensable asset 🔨, unlocking unparalleled opportunities for growth and achieving unprecedented success 🌟.

Experienced Data Scientist with a track record of over 5 years in data analysis, statistical modeling, and machine learning. Delivered more than 20 projects to clients all over the world.

I'm a versatile freelance Data Engineer with a strong command of various tools and technologies. Proficient in PySpark, Python, Azure Data Factory, Google BigQuery, SQL, and more, I'm your go-to expert for designing and implementing efficient data solutions. With a focus on optimizing data processes, I bring a wealth of experience to help you derive valuable insights from your data. If you're in need of a skilled Data Engineer to tackle your data challenges, let's connect and discuss your project. Delivered $100K+ in data engineering solutions across 15 projects | Specializing in scalable ETL pipelines, real-time data processing, and cloud data architecture (Azure, GCP) | Built systems processing 10M+ records with 40% improved performance | Expert in PySpark, Python, BigQuery, and Azure Data Factory

I build data pipelines and AI systems that turn raw data into structured insights and intelligent workflows. My focus is on strong data engineering combined with analysis, visualization, and AI integration so the data is actually usable. What I do - Data engineering pipelines (ETL/ELT, batch and real-time) - Python for data processing, automation, and AI workflows - SQL, data modeling, and query optimization - Data analysis and insights generation - Data visualization (Power BI, dashboards, reporting) - Data integration (APIs, databases, cloud systems) - RAG pipelines, LLM workflows, AI data preparation - Workflow automation and orchestration Experience - Healthcare, legal, insurance, logistics - Data-heavy systems, reporting, and automation workflows Work Examples - Built ETL pipelines connecting APIs, databases, and cloud systems - Automated data workflows to reduce manual processing - Designed dashboards for reporting and decision-making - Structured data pipelines for AI and document processing systems - Integrated multiple systems for consistent data flow How I Work - Clean, reliable data pipelines - Focus on usable data, not just movement - Systems built for analytics and AI from the start Let’s Talk If you need help with data pipelines, dashboards, or preparing data for AI, I can help. Open to a quick free consultation.

Hi, and welcome to my profile! I’m a AI Solution architect with 4+ years of hands-on experience in creating efficient, scalable, and tailored solutions for clients across multiple industries like Finance, Education, Legal, and Telecom. What sets me apart is my commitment to delivering innovative solutions that align with your business needs; whether it’s streamlining workflows, enhancing system performance, or developing tools that drive measurable impact, bring it to me and get the solution you truly deserves . How I can help you? I combine technical expertise with a business-driven approach to solve problems effectively: Web Development: Full-Stack and Backend expertise with Django, Flask, Reflex, and FastAPI (WebSocket and RESTful APIs). Automation: Time-saving tools with Selenium, pyautogui, and OCR frameworks (Tesseract, EasyOCR, PaddleOCR). Cloud Solutions: AWS, Azure, and GCP for deploying robust and scalable applications. Asynchronous Workflows: Seamless queue management with Celery, Redis, and RabbitMQ. Proven results you can trust... 1. Cloud OCR System: Deployed a cloud OCR system that leveraged cloud OCR using Google Vision and Vertex AI to automate the extraction of relevant information from diverse documents. 2. Data Extraction: Delivered a financial data extraction solution that achieved over 95% accurate data extractions from complex data sources like PDFs, Images by combining custom scripting with AI. 3. Financial API Optimization: Delivered a market data API with 30% improved performance and resilient architecture, enabling faster and reliable data delivery. 4. Automation Success: Built a tool to automate complex manual website navigation tasks, saving clients valuable time and reducing errors. 5. Custom Solutions Across Industries: From creating dynamic educational platforms to developing robust financial tools, I’ve consistently delivered tailored, impactful results. Why work with me? 1. Adaptability: I excel at understanding unique requirements and creating solutions that fit perfectly. 2. Strong problem-solving skills: I thrive in challenging projects, turning complex problems into efficient solutions. 3. Collaborative approach: Clear communication and regular updates ensure smooth project execution. 4. Consistent service delivery: I keep to contract agreement and deliver excellent service to my clients. Whether you need quick, reliable fixes or detailed, well-documented processes, I’m here to deliver. Let’s Get Started... If you’re ready to transform your ideas into impactful software solutions, let’s connect! I’m open to new opportunities and excited to discuss how I can contribute to your success. Even if you don’t need a developer right now, I can help you craft actionable milestones and connect you with trusted professionals who are in other niche for your specific needs. Let’s talk!

Hello! I'm Tatiana Pilipenko, a multi-disciplinary professional with a background in Biology (BSc), Biotechnology (MSc), and AI Applied to Medicine (PhD). My academic journey at the Università degli Studi di Brescia in Italy has equipped me with the skills to excel in the health and natural science sectors. I specialize in academic writing, content and copywriting in health and natural science, statistical analysis, AI in medicine, and medical translation. In terms of my soft skills, I pride myself on my precision, punctuality, responsibility, and self-discipline. I am also adept at navigating new media and tools to adapt to evolving project requirements. For my hard skills, I'm proficient in Python, R, and C# programming languages and comfortable communicating in Italian, Russian, English, and French. I am also skilled in using Microsoft Office, have a basic understanding of SEO, and can work with Adobe Photoshop. I believe my diverse skill set could make a significant contribution to your project. I look forward to collaborating with you!

👋🏻 Hey! I'm an AI Automation Engineer & Software Developer who turns complex problems into clean, efficient, and scalable solutions. With hands-on experience across AI automation, data science, and full-stack development, I deliver work that drives real results, faster workflows, smarter systems, and measurable impact. 💡 What I Bring to the Table: With a solid foundation in OOP, Data Structures & Algorithms, machine learning, and real-time data processing, I specialize in: - AI & Intelligent Automation — building smart workflows powered by AI to eliminate repetitive tasks and optimize business processes - No-Code Automation — creating powerful automated pipelines using n8n, Make (Integromat), and GoHighLevel to connect apps, trigger workflows, and streamline operations without writing a single line of code - Python Development — automation scripts, data pipelines, web scrapers, and backend logic that cut delivery times and boost efficiency - Data Science & Analytics — data cleaning, visualization, predictive modeling, and insights that support smarter decision-making - Flutter and React Native Mobile Apps — cross-platform apps with smooth UI and strong performance - PyQt5 Desktop Tools — dynamic, user-friendly desktop applications - Database Management — optimized schemas using MySQL and Firebase 🏆 Proven Deliverables: My projects have consistently reduced delivery times, boosted performance, and improved user engagement backed by clean, maintainable code and intelligent automation aligned with real business goals. 🎓 Education & Foundation: Currently pursuing my degree in Software Engineering, with strong academic grounding in algorithms, data science, system design, and software architecture. 🤝 Let's Build Something Impactful. Whether you need AI automation, data insights, a mobile app, or a full-stack solution, I'm committed to delivering quality work that drives results. Drop me a message and let's talk!

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.